Magnetic Resonance Imaging of the Cardiovascular System - Cardiac MRI
Number: 0520
Table Of Contents
PolicyApplicable CPT / HCPCS / ICD-10 Codes
Background
References
Policy
Scope of Policy
This Clinical Policy Bulletin addresses magnetic resonance imaging (MRI) of the cardiovascular system.
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Medical Necessity
Aetna considers magnetic resonance imaging (MRI) of the cardiovascular system medically necessary for the indications listed below, in accordance with guidelines developed by the American College of Cardiology Foundation, American College of Radiology (ACR) and the American Heart Association (AHA):
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Thoracic aortic disease
For example: abnormal aortic contour or size on chest X-ray, differentiation of mediastinal mass versus vascular abnormality, to rule out aortic dissection, aneurysm, leaking thoracic aneurysm, exclude aortic source of peripheral embolization, Sinus Valsalva aneurysm, Marfan's syndrome and aorta annular ectasia, after therapy of aortic dissection of aortic arch anomalies, coarctation, following aortic angioplasty, periaortic abscess or infection; or
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Pericardial disease
For example: to assess pericardial thickness and detection of metastases, for diagnosing pericardial cysts, pericarditis and constriction, for diagnosing effusion and tamponade; or
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External or internal masses, pathology of lung and pleura
For example: chest wall and mediastinal tumor invasion of the lung and pleura, masses (e.g., lipoma), intracavity tumors, and differentiation of tumor from thrombus, assessment of vascular invasion, hilar assessment, and pericardial/myocardial invasion, pleural diseases; or
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Pathology involving surrounding structures
For example: to evaluate intrinsic abnormalities of the pulmonary arteries, including central thrombi, aneurysms, stenoses, occlusions, dissection, and extra-vascular disease involving the pulmonary arteries; or
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Assessment of right ventricular cardiomyopathy/dysplasia; or
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Congenital heart disease
For example: ventricular septal defect, atrial septal defect, tetralogy of Fallot, transposition of the great arteries, pulmonary atresia, obstruction to the right ventricular outflow tract, other complex cyanotic heart disease, pulmonary venous anomalies, after surgery for correction of congenital heart disease; or
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Cardiac function, morphology, and structure when the following criterion is met
After it has been determined that echocardiogram is inconclusive or expected to be non-diagnostic; or
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Atrial Fibrillation
Atrial fibrillation, for assessing left atrial structure and function, for detecting thrombi in the left atrial appendage when echocardiogram is inconclusive, and for identifying pulmonary vein anatomy prior to or after electrophysiology procedures; or
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Diseases of the large veins
For example: acquired and congenital abnormalities of the superior or inferior vena cavae, pulmonary vein system, or portal venous system (e.g., vena caval thrombus, differentiation of tumor thrombus and blood clot of the vena cava, superior vena caval syndrome, superior vena caval invasion or encasement by lung or mediastinal tumors, diagnosis of Budd-Chiari syndrome, and diagnosis of other caval anomalies); or
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Valvular heart disease when the following criterion is met:
After it has been determined that echocardiogram and Doppler studies are inconclusive or expected to be nondiagnostic; or
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Coronary artery disease
Detection and localization of inducible myocardial perfusion deficits or inducible contractile dysfunction; detection or quantification of the extent of acute or chronic myocardial infarction; differentiation of recent from remote myocardial infarction; cardiac MRI, with or without flow reserve can be used in place of, but not in addition to, a single photon emission computed tomography (SPECT), in persons who meet medical necessity criteria for a cardiac SPECT; or
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Demonstration of Complications of Infarction
For example
formation of an aneurysm, mural thrombus formation, to demonstrate regional wall motion or wall thickening abnormalities of a damaged left ventricle; or -
Cardiomyopathy
To evaluate cardiomyopathies (dilated, restrictive (amyloid), other infiltrative [sarcoid, Fabry, myocardial involvement in systemic myopathies], hypertrophic cardiomyopathy, or due to cardiotoxic therapies); or
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Myocarditis
For further evaluation of suspected acute or chronically active myocarditis; or
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Children with suspected or confirmed pulmonary hypertension/pediatric pulmonary hypertensive vascular disease
As part of the diagnostic evaluation and during follow-up to assess changes in ventricular function and chamber dimensions; or
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Evaluation of anomalous coronary arteries; or
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Cardiac Masses
Evaluation of cardiac masses when echocardiography is inconclusive.
Notes: Requests for cardiac MRI for indications that are not listed above are subject to medical review.
Any evidence of duplicative services, such as the use of computerized axial tomography (CT) scan, radionuclide studies, ultrasound, radioisotope scanning, sonograms and MRI, is subject to medical review for an evaluation of the medical necessity of the MRI. There must be a compelling reason for multiple diagnostic procedures; in such situations, the MRI will only be considered medically necessary if the physician documents specific, necessary information to be gained from the additional test(s) that the initial test did not provide. If a claim reveals that MRI was performed to detect a suspected medically necessary indication but instead demonstrated a non-medically necessary indication, the MRI will be considered medically necessary.
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Experimental, Investigational, or Unproven
Aetna considers the following procedures experimental, investigational, or unproven because the effectiveness of these approaches has not been established:
- Absolute quantification of myocardial blood flow from cardiac MRI
- Blood oxygenation level-dependent cardiac MRI for assessing perfusion in individuals with critical limb ischemia;
- Intravascular MRI for detecting coronary vulnerable plaques;
- MRI of the cardiovascular system as a screening test for cardiovascular disease, for acute rejection following heart transplantation, for predicting ventricular tachyarrhythmic events (e.g., sudden cardiac death, resuscitated cardiac arrest, the occurrence of ventricular arrhythmias, and appropriate implantable cardioverter defibrillator therapy), for evaluating patent foramen ovale, and for all other indications (except for the ones listed above);
- Use of ferumoxytol in cardiac magnetic resonance imaging (cMRI) including estimation of fractional myocardial blood volume, evaluation of children with congenital heart disease, and quantitative measure of cardiopathy due to prior treatment with doxorubicin (Adriamycin);
- Whole heart coronary magnetic resonance angiography for detection of coronary artery disease;
- Whole-heart coronary MRI for the non-invasive evaluation of the coronary arteries.
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Related Policies
Code | Code Description |
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CPT codes covered if selection criteria are met: |
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75557 | Cardiac magnetic resonance imaging for morphology and function without contrast material |
75559 | with stress imaging |
75561 | Cardiac magnetic resonance imaging for morphology and function without contrast material(s), followed by contrast material(s) and further sequences |
75563 | with stress imaging |
75565 | Cardiac magnetic resonance imaging for velocity flow mapping |
CPT codes not covered if selection criteria are met: |
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Whole Heart Coronary magnetic resonance angiography -no specific code | |
0899T | Noninvasive determination of absolute quantitation of myocardial blood flow (AQMBF), derived from augmentative algorithmic analysis of the dataset acquired via contrast cardiac magnetic resonance (CMR), pharmacologic stress, with interpretation and report by a physician or other qualified health care professional (List separately in addition to code for primary procedure) |
0900T | Noninvasive estimate of absolute quantitation of myocardial blood flow (AQMBF), derived from assistive algorithmic analysis of the dataset acquired via contrast cardiac magnetic resonance (CMR), pharmacologic stress, with interpretation and report by a physician or other qualified health care professional (List separately in addition to code for primary procedure) |
Other CPT codes related to the CPB: |
|
71250 - 71270 | Computed tomography, thorax |
71550 - 71552 | Magnetic resonance (e.g., proton) imaging, chest (e.g., for evaluation of hilar and mediastinal lymphadenopathy) |
76604 | Ultrasound, chest (includes mediastinum), real time with image documentation |
77046 - 77047 | Magnetic resonance imaging, breast, without contrast material |
78414 - 78499 | Nuclear medicine, cardiovascular system imaging |
93303 - 93355 | Echocardiography |
HCPCS codes covered if selection criteria are met: |
|
A9576 | Injection, gadoteridol, (ProHance multipack), per ml |
A9577 | Injection, gadobenate dimeglumine (MultiHance), per ml |
A9578 | Injection, gadobenate dimeglumine (MultiHance multipack), per ml |
A9579 | Injection, gadolinium based magnetic resonance contrast agent, not otherwise specified, per ml |
C9762 | Cardiac magnetic resonance imaging for morphology and function, quantification of segmental dysfunction; with strain imaging |
C9763 | with stress imaging |
HCPCS codes not covered for indications listed in the CPB: |
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Q0138 | Injection, ferumoxytol, for treatment of iron deficiency anemia, 1 mg (non-ESRD use) |
Q0139 | Injection, ferumoxytol, for treatment of iron deficiency anemia, 1 mg (for ESRD on dialysis) |
Other HCPCS codes related to the CPB: |
|
J0151 | Injection, adenosine for diagnostic use, 1 mg (not to be used to report any adenosine phosphate compounds, instead use A9270) |
Q2049 | Injection, doxorubicin HCl, liposomal, imported Lipodox, 10 mg |
Q2050 | Injection, doxorubicin HCl, liposomal, not otherwise specified, 10 mg |
ICD-10 codes covered if selection criteria are met (not all-inclusive): |
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A18.89 | Tuberculosis of other sites [myocardium] |
A36.81 | Diphtheritic cardiomyopathy |
A39.52 | Meningococcal myocarditis |
A52.00 - A52.09 | Cardiovascular and cerebrovascular syphilis |
B33.22 | Viral myocarditis |
B58.81 | Toxoplasma myocarditis |
C34.00 - C38.8 | Malignant neoplasm of bronchus and lung, thymus, heart, mediastium and pleura |
C45.0 C45.2 |
Mesothelioma of pleura and pericardium |
C47.3, C49.3 | Malignant neoplasm of peripheral nerves of thorax and connective and soft tissue of thorax |
C78.00 - C78.2 | Secondary malignant neoplasm of lung, mediastinum and pleura |
D14.30 - D14.32 | Benign neoplasm of bronchus and lung |
D15.0 | Benign neoplasm of thymus |
D15.1 | Benign neoplasm of heart |
D15.2 | Benign neoplasm of mediastinum |
D17.4 | Benign lipomatous neoplasm of intrathoracic organs |
D19.0 | Benign neoplasm of mesothelial tissue of pleura |
D21.3 | Benign neoplasm of connective and other soft tissue of thorax |
D38.1 - D38.4 | Neoplasm of uncertain behavior of trachea, bronchus, lung, pleura, mediastinum and thymus |
D86.0 - D86.9 | Sarcoidosis |
E85.81 - E85.89 | Other amyloidosis [nutritional and metabolic cardiomyopathy] |
E85.9 | Amyloidosis, unspecified [nutritional and metabolic cardiomyopathy] |
I00 - I09.9 | Acute rheumatic fever and chronic rheumatic heart diseases |
I11.9 | Hypertensive heart disease without heart failure |
I20.0 | Unstable angina |
I20.2 | Refractory angina pectoris |
I21.01 - I22.9 | Acute and subsequent ST elevation (STEMI) and non-ST elevation (NSTEMI) myocardial infarction |
I23.6 | Thrombosis of atrium, auricular appendage, and ventricle as current complications following acute myocardial infarction |
I24.0 - I24.9 | Other acute ischemic heart diseases |
I25.10 - I25.9 | Chronic ischemic heart disease |
I26.01 - I26.99 | Pulmonary embolism |
I27.0 | Primary pulmonary hypertension |
I27.20 - I27.29 | Other secondary pulmonary hypertension |
I28.0 - I28.8 | Other diseases of pulmonary vessels |
I30.0 - I41 | Other forms of heart disease |
I42.0 - I43 | Cardiomyopathies |
I48.0 - I48.2, I48.91 | Atrial fibrillation |
I51.4 | Myocarditis, unspecified |
I67.0 | Dissection of cerebral arteries, nonruptured |
I70.201 - I70.799 I70.92 |
Atherosclerosis |
I71.00 - I71.9 | Aortic aneurysm and dissection |
I74.01 - I74.19 | Embolism and thrombosis of abdominal aorta and unspecified parts of aorta |
I77.70 - I77.79 | Other arterial dissection |
I79.0 - I79.8 | Disorders of arteries, arterioles and capillaries in diseases classified elsewhere |
I81 | Portal vein thrombosis |
I82.0 | Budd-Chiari syndrome |
I82.220 - I82.221 | Embolism and thrombosis of inferior vena cava |
J86.9 | Pyothorax without fistula |
J90 | Pleural effusion, not elsewhere classified |
J91.0 | Malignant pleural effusion |
J92.0 - J92.9 J94.0 - J94.9 |
Pleural plaque and other pleural conditions |
K75.1 | Phlebitis of portal vein |
Q20.0 - Q28.9 | Congenital malformations of the circulatory system [not covered for patent foramen ovale] |
Q87.40 - Q87.43 | Marfan's syndrome |
R09.1 | Pleurisy |
R22.2 | Localized swelling, mass and lump, trunk |
R93.1 | Abnormal findings on diagnostic imaging of heart and coronary circulation |
R93.89 | Abnormal findings on diagnostic imaging of other specified body structures |
R94.31 | Abnormal electrocardiogram [ECG] [EKG] |
T82.817A – T82.818S | Embolism of cardiac and vascular prosthetic devices, implants and grafts |
Z98.61 | Coronary angioplasty status |
ICD-10 codes not covered for indications listed in the CPB: |
|
I74.3 | Embolism and thrombosis of arteries of the lower extremities |
I75.021 - I75.029 | Atheroembolism of lower extremity |
T86.20 - T86.23 | Complications of heart transplant |
Z13.6 | Encounter for screening for cardiovascular disorders [routine without signs or symptoms of disease] |
Z94.1 | Heart transplant status |
Background
Magnetic resonance imaging (MRI) is a non-invasive imaging procedure used primarily for studying intra-cranial and intra-spinal pathology, and for evaluating abnormalities of the musculoskeletal system, the heart, and pelvis. It is also used to evaluate abdominal visceral problems.
Magnetic resonance imaging uses a pulsed radiofrequency wave in the presence of a high magnetic field to produce high quality images of the body in any plane. Magnetic resonance imaging may be preferred to a computed tomography (CT) scan because of its established capability to depict soft tissue, lack of radiation, and often without the need for contrast material.
During an MRI examination, the patient is placed inside a very strong magnet. A fraction of the hydrogen atoms within the patient's body align themselves with the magnetic field. The body area being examined is exposed to radio waves that are first absorbed and then emitted. The emitted waves become the MRI signal. The signal is analyzed by computer and processed into images of the body. The images are usually in the form of slices through the body. The slices can be taken in any plane. Magnetic resonance imaging also has the ability to acquire 2-, 3- or 4-dimensional data. The signal intensity of a tissue in MRI images depends on the molecular environment of the protons. MRI parameter settings can be tuned to “highlight” certain tissues, e.g. make fat, water or other tissue appear particularly bright, or dark. Structures without proteins (air, calcium) always appear black. The novel technique of mapping uses signal intensity measurements of several images to estimate relaxation times. These have normal ranges and thus are less sensitive to subjective errors. Furthermore, mapping allows for detecting global myocardial abnormalities such as edema or an increased extracellular space.
Magnetic resonance imaging is sometimes performed with the use of contrast agents for specific indications in order to specifically modify the contrast in regions with increased or decreased contrast uptake. MRI contrast agents typically are based on gadolinium, which shorten relaxation times and thereby modify the signal in images. Typically, T1-weighted images are used for contrast-enhanced MRI scans. Contrast enhancement agents are approved by the Federal Drug Administration for use with MRI: Magnevist, (gadopentetate dimeglumine), ProHance, (gadoteritol), Omniscan, (gadodiomode), Ultravist, (iopromide), and Ferumoxsil (feroxide).
Magnetic resonance imaging has been shown to have several technical advantages in comparison to other standard diagnostic testing procedures such as CT scan and X-ray. Magnetic resonance imaging is a non-invasive technique that uses no ionizing radiation and according to available literature, there are no known clinically significant side effects. The literature indicates that MRI can be used during the first trimester of pregnancy when it has been shown to offer an advantage over other modalities. Magnetic resonance imaging does not always require contrast agents in order to achieve a high degree of resolution. The literature indicates there is some increased risk of administering MRI contrast agents to patients with asthma or iodine allergy, but administration of these agents is still performed with caution. Magnetic resonance imaging soft tissue contrast has been shown to be superior to that of other imaging modalities, and there are no image artifacts from bone. The literature indicates MRI has greater inherent contrast between different types of normal body tissues and between pathological tissues and normal tissues. Magnetic resonance imaging clarity is equal in any view: axial, sagittal, coronal, or oblique. Magnetic resonance imaging also has the ability to acquire 2-dimensional, 3-dimensional and 4-dimensional data.
Magnetic resonance imaging has been shown to have several disadvantages. It requires more patient cooperation than other tests. Imaging time is longer than CT or X-ray. For MRI, the acquisition time per image is similar to the time required for a CT slice (current minimal acquisition times 34ms for MRI and 65ms for dual-source CT), while the temporal resolution can be increased by repeated measurements to less than 20ms. It has limitations in the acute trauma setting due to its incompatibility with various medical and life support devices. Overheating may result from the alternating magnetic transmissions of the radiofrequency coils. The literature indicates that care should be exercised when using MRI with infants, elderly patients, and hyperpyrexic individuals (NIH, 1987). There is a forceful attraction of ferromagnetic objects to the magnet. Most aneurysm clips, intra-cranial or intra-ocular metal, shrapnel, cardiac pacemakers or pacemaker wires and cochlear implants are absolute contraindications for MRI. Magnetic resonance imaging has somewhat less spatial resolution than CT scan.
Magnetic resonance imaging in the field of cardiology is evolving at a dynamic pace. However, because of the lack of availability of state of the art MRI technology and expertise, echocardiography, in particular trans-esophageal echocardiogram (TEE), remains the generally accepted modality for the evaluation of cardiac anatomy and function most of the time by most practitioners. According to the literature, 50 to 60 % of the population can not be adequately imaged with echocardiogram. For these patients, MRI has been shown to be particularly important. Magnetic resonance imaging has the following important attributes that make it effective for the evaluation of the cardiovascular system:
- Fast gradient echo techniques can be used to assess global and regional ventricular contractile function;
- It can produce high resolution images of the cardiac chambers and large vessels without the need of contrast agents;
- It does not have difficulties in evaluating right ventricular function;
- It does not have the weakness of geometric assumptions as does angiography and echocardiography in the assessment of ventricular volumes;
- It has high tissue contrast;
- It is a 3-dimensional imaging technique;
- It produces images of cardiovascular structures without the interference from adjacent bone or air; and
- Velocity encoded techniques permit measurement of blood flow.
Since MRI can usually not be brought to the bedside like the TEE, it may not be the first test used in an emergency situation, but may be used to better define the diagnosis. Under established guidelines, MRI is used as the diagnostic test for the following indications: diseases of the aorta, diseases of the pericardium, external and internal masses, pathology involving surrounding structures, congenital heart disease, and ventricular dysplasia. Magnetic resonance imaging is increasingly being used in the assessment of cardiac function, morphology and structure. When echocardiography does not provide enough information, in these circumstances, the literature suggests MRI may be warranted. Cardiac MRI and coronary CT angiography are superior to conventional angiography at detecting anomalous coronary arteries.
García-García et al (2008) noted that thin-capped fibroatheroma is the morphology that most resembles plaque rupture. Detection of these vulnerable plaques is essential for studying their natural history and assessing potential therapies and, thus, may have an important impact on the prevention of myocardial infarction and death. At the present time, conventional grayscale intra-vascular ultrasound, virtual histology and palpography data are being collected with the same catheter during the same pullback. A combination of this catheter with either thermography capability or additional imaging, such as optical coherence tomography or spectroscopy, would be an exciting development. Intra-vascular MRI also holds much promise. To date, none of the techniques described above has been sufficiently validated and, most importantly, their predictive value for adverse cardiac events remains elusive. Very rigorous and well-designed studies are compelling for defining the role of each diagnostic modality. Until vulnerable plaques can be detected accurately, no specific treatment is warranted.
Hauser and Manning (2008) stated that the non-invasive detection of coronary artery disease has been a major goal of newer cardiac imaging technologies. In the past 10 years, coronary MRI has undergone significant advances, resulting in excellent sensitivity for detecting coronary artery disease. The authors noted that whole-heart coronary MRI, a technique that is similar to coronary CT angiography, has emerged as a promising approach for the non-invasive evaluation of the coronary arteries. This is in agreement with the observation of Schaar et al (2007) who noted that the role of non-invasive imaging in vulnerable plaque detection is currently under investigation. Several invasive and non-invasive techniques (e.g., MRI and multi-slice spiral CT) are currently under development to evaluate the vulnerable plaque. However, none has proven its value in an extensive in-vivo validation and all have a lack of prospective data.
In a review on the use of cardiac MRI in the diagnosis of acute coronary syndrome (ACS), Breuckmann et al (2008) noted that in contrast to chronic myocardial infarction, data concerning the value of cardiac MRI in patients with acute onset of chest pain are still rare. Even in the presence of characteristic clinical parameters, cardiac MRI might provide independent evidence especially in the absence of typical ECG alterations and prior to biomarker elevation. Besides the ability to demonstrate wall motion abnormalities, cardiac MRI gains additional potential as to the detection of myocardial edema, microvascular obstruction (no-reflow) and myocardial necrosis. However, cardiac MRI is expensive and time-consuming, and thus may not be cost-effective. Currently, a lack of sufficient diagnostic and prognostic data would make cardiac MRI unsuitable for routine stratification of chest pain patients in an emergency department.
Lockie and colleagues (2009) stated that the role of cardiac MRI in the assessment of ACS is less well-established. Future larger studies will determine more fully the role of cardiac MRI in the setting of ACS. The American College of Radiology's Expert Panel on Cardiac Imaging (Hoffman et al, 2011) rendered a "2' rating for MRI of heart with or without stress without contrast; and a "3" rating for MRI of heart with or without stress without and with contrast for evaluation of patients with acute non-specific chest pain (rating Scale: 1,2,3 means "usually not appropriate"; 4,5,6 means "may be appropriate"; and 7,8,9 means "usually appropriate").
A report of the American College of Cardiology Foundation task force on cardiovascular magnetic resonance (Hundley et al, 2010) stated that cardiovascular MRI (performed with gandolinium enhancement) is recommended to diagnose anatomical location and degree of stenosis of peripheral arterial disease (PAD) and to select patients with lower extremity PAD as candidates for endovascular intervention.
The ACC report stated that cardiac MRI may be used for assessing left atrial structure and function in patients with atrial fibrillation, and may be useful for identifying pulmonary vein anatomy prior to or after electrophysiology procedures without need for patient exposure to ionizing radiation. The report also noted that standardization of protocols and more studies are needed to ascertain whether cardioavascular MRI provides a reliable method for detecting thrombi in the left atrial appendage in patients with atrial fibrillation.
An UpToDate review on “Ventricular septal defect in adults” (Ammash and Connolly, 2013) states that “Cardiovascular magnetic resonance (CMR) imaging and computed tomography (CT) can provide accurate, reliable and reproducible assessment of cardiac structure and function in congenital heart disease when performed by an expert. These techniques offer certain advantages over echocardiography since they allow unrestricted evaluation of cardiac chambers and great arteries not compromised by air, bone, or surgical scar. Summation of disks on multiple tomographic slices during ventricular diastole and systole permits direct and accurate measurement of left ventricular volume and function. Such data is helpful in timing intervention or repair in adults with VSDs. However, these techniques have not been widely adopted in the evaluation of VSD primarily because echocardiography is widely available and provides sufficient information in most cases and CMR and cardiac CT have more limited availability”.
MedlinePlus, a service of the U.S. National Library of Medicine, notes that cardiac MRI is one of the tests that are used for evaluation of VSD. The Adult Congenital Heart Association (ACHA) states that tests to confirm the presence and effect of a VSD may include cardiac MRI.
In an eMedicine review on “Ventricular septal defects”, Ramaswamy (2013) states that “ MRI is a useful adjunct tool, but it is infrequently required for the diagnosis of VSDs. As a rule, it is employed only when ultrasonography is not feasible or when ultrasonographic findings are not diagnostic. However, because MRI data about systemic and pulmonary flows are been well-validated and well-correlated with catheterization data, one of the indications for the use of MRI is evaluation of a VSD that is judged to be borderline during echocardiography in terms of the level of the left-to-right shunt. For such defects, an MRI-derived Qp:Qs may assist the clinician in making the decision whether to proceed with surgical treatment.
Sarcoidosis and amyloidosis are both multi-system disorders, which may involve the heart; however, isolated cardiac disease is rare. Diagnosis of cardiac sarcoidosis and amyloidosis is crucial because the patient prognosis is dependent on cardiac involvement and early treatment. Bauner and Wintersperger (2013) stated that echocardiography is the first line imaging modality in the diagnostic work-up of both diseases, possibly giving hints towards the correct diagnosis. Besides myocardial biopsy and radionuclide studies cardiac MRI is routinely performed in patients suspect of having infiltrative cardiomyopathy. The T1 mapping procedure is currently being evaluated as a new technique for detection and quantification of global myocardial enhancement, as seen in cardiac amyloidosis. Sensitivities and specificities for detection of cardiac sarcoidosis and amyloidosis can be significantly improved by MRI, especially with late gadolinium enhancement (LGE) imaging. In cardiac sarcoidosis the use of LGE is outcome-related while in amyloidosis analysis of T1-mapping may be of prognostic value. The authors recommended that if cardiac involvement in sarcoidosis or amyloidosis is suspected cardiac MRI including LGE should be performed for establishing the diagnosis.
An UpToDate review on “Cardiac sarcoidosis” (McKenna, 2013) states that “In patients with abnormalities after the initial evaluation, we suggest noninvasive imaging, preferably with cardiovascular magnetic resonance imaging (CMR) and FDG PET to enhance disease detection and monitoring of treatment response. If neither CMR nor PET is available, we suggest a gallium, thallium, or technetium scan”.
Maron (2012) stated that hypertrophic cardiomyopathy (HCM) is characterized by substantial genetic and phenotypic heterogeneity, leading to considerable diversity in clinical course including the most common cause of sudden cardiac death (SCD) in young people and a determinant of heart failure symptoms in patients of any age. Traditionally, 2-dimensional echocardiography has been the most reliable method for establishing a clinical diagnosis of HCM. However, cardiovascular magnetic resonance (CMR), with its high spatial resolution and tomographic imaging capability, has emerged as a technique particularly well-suited to characterize the diverse phenotypic expression of this complex disease. For example, CMR is often superior to echocardiography for HCM diagnosis, by identifying areas of segmental hypertrophy (i.e., anterolateral wall or apex) not reliably visualized by echocardiography (or under-estimated in terms of extent). High-risk HCM patient subgroups identified with CMR include those with thin-walled scarred left ventricular (LV) apical aneurysms (which prior to CMR imaging in HCM remained largely undetected), end-stage systolic dysfunction, and massive LV hypertrophy. Cardiovascular magnetic resonance observations also suggested that the cardiomyopathic process in HCM is more diffuse than previously regarded, extending beyond the LV myocardium to include thickening of the right ventricular wall as well as substantial morphologic diversity with regard to papillary muscles and mitral valve. These findings have implications for management strategies in patients undergoing invasive septal reduction therapy. Among HCM family members, CMR has identified unique phenotypic markers of affected genetic status in the absence of LV hypertrophy including: myocardial crypts, elongated mitral valve leaflets and late gadolinium enhancement (LGE). The unique capability of contrast-enhanced LGE-CMR to identify myocardial fibrosis has raised the expectation that this may represent a novel marker, which may enhance risk-stratification. At this time, LGE appears to be an important determinant of adverse LV re-modeling associated with systolic dysfunction. However, the predictive significance of LGE for SCD is incompletely resolved and ultimately future large prospective studies may provide greater insights into this issue.
Green et al (2012) performed a systematic review and meta-analysis of the predictive value of LGE-CMR for future cardiovascular events and death in patients with HCM. These investigators searched multiple databases including PubMed for studies of LGE in HCM that reported selected clinical outcomes (cardiovascular mortality, SCD, aborted SCD, and heart failure death). They performed a systematic review of the literature and meta-analysis to determine pooled odds ratios for these clinical events. A total of 4 studies evaluated 1,063 patients over an average follow-up of 3.1 years. The pooled prevalence of LGE was 60 %. The pooled odds ratios (OR) demonstrated that LGE-CMR correlated with cardiac death (pooled OR: 2.92, 95 % confidence interval [CI]: 1.01 to 8.42; p = 0.047), heart failure death (pooled OR: 5.68, 95 % CI: 1.04 to 31.07; p = 0.045), and all-cause mortality (pooled OR: 4.46, 95 % CI: 1.53 to 13.01; p = 0.006), and showed a trend toward significance for predicting sudden death/aborted sudden death (pooled OR: 2.39, 95 % CI: 0.87 to 6.58; p = 0.091). The authors concluded that LGE- CMR has prognostic value in predicting adverse cardiovascular events among HCM patients. There are significant relationships between LGE and cardiovascular mortality, heart failure death, and all-cause mortality in HCM. Additionally, LGE and SCD/aborted SCD displayed a trend toward significance. They stated that assessment of LGE-CMR has the potential to provide important information to improve risk-stratification in HCM in clinical practice.
Gulati et al (2013) examined if myocardial fibrosis (detected by LGE-CMR imaging) is an independent and incremental predictor of mortality and SCD in dilated cardiomyopathy. Prospective, longitudinal study of 472 patients with dilated cardiomyopathy referred to a United Kingdom center for CMR imaging between November 2000 and December 2008 after presence and extent of mid-wall replacement fibrosis were determined. Patients were followed-up through December 2011. Primary end point was all-cause mortality. Secondary end points included cardiovascular mortality or cardiac transplantation; an arrhythmic composite of SCD or aborted SCD (appropriate ICD shock, non-fatal ventricular fibrillation, or sustained ventricular tachycardia); and a composite of heart failure (HF) death, HF hospitalization, or cardiac transplantation. Among the 142 patients with mid-wall fibrosis, there were 38 deaths (26.8 %) versus 35 deaths (10.6 %) among the 330 patients without fibrosis (hazard ratio [HR], 2.96 [95 % CI: 1.87 to 4.69]; absolute risk difference, 16.2 % [95 % CI: 8.2 % to 24.2 %]; p < 0.001) during a median follow-up of 5.3 years (2,557 patient-years of follow-up). The arrhythmic composite was reached by 42 patients with fibrosis (29.6 %) and 23 patients without fibrosis (7.0 %) (HR, 5.24 [95 % CI: 3.15 to 8.72]; absolute risk difference, 22.6 % [95 % CI: 14.6 % to 30.6 %]; p < 0.001). After adjustment for left ventricular ejection fraction (LVEF) and other conventional prognostic factors, both the presence of fibrosis (HR, 2.43 [95 % CI: 1.50 to 3.92]; p < 0.001) and the extent (HR, 1.11 [95 % CI: 1.06 to 1.16]; p < .001) were independently and incrementally associated with all-cause mortality. Fibrosis was also independently associated with cardiovascular mortality or cardiac transplantation (by fibrosis presence: HR, 3.22 [95 % CI: 1.95 to 5.31], p < 0.001; and by fibrosis extent: HR, 1.15 [95 % CI: 1.10 to 1.20], p < 0.001), SCD or aborted SCD (by fibrosis presence: HR, 4.61 [95 % CI: 2.75 to 7.74], p < 0.001; and by fibrosis extent: HR, 1.10 [95 % CI: 1.05 to 1.16], p < 0.001), and the HF composite (by fibrosis presence: HR, 1.62 [95 % CI: 1.00 to 2.61], p = 0.049; and by fibrosis extent: HR, 1.08 [95 % CI: 1.04 to 1.13], p < 0.001). Addition of fibrosis to LVEF significantly improved risk re-classification for all-cause mortality and the SCD composite (net re-classification improvement: 0.26 [95 % CI: 0.11 to 0.41]; p = 0.001 and 0.29 [95 % CI: 0.11 to 0.48]; p = 0.002, respectively). The authors concluded that assessment of mid-wall fibrosis with LGE-CMR imaging provided independent prognostic information beyond LVEF in patients with non-ischemic dilated cardiomyopathy. They stated that the role of LGE-CMR in the risk-stratification of dilated cardiomyopathy requires further investigation.
Scott et al (2013) noted that approaches to the risk-stratification for SCD remain unsatisfactory. Although LGE-CMR for SCD risk-stratification has been evaluated in several studies, small sample size has limited their clinical validity. These investigators performed a meta-analysis to better-gauge the predictive accuracy of LGE-CMR for SCD risk-stratification. Electronic databases and published bibliographies were systematically searched to identify studies evaluating the association between the extent of LV scar on LGE-CMR and ventricular arrhythmic events [SCD, resuscitated cardiac arrest, the occurrence of ventricular arrhythmias, or appropriate implantable cardioverter defibrillator (ICD) therapy]. Only studies enrolling patients with CAD or non-ischemic cardiomyopathy were included. Summary estimates of the relative risk (RR) and likelihood ratios (LRs) were calculated using random effects models. A total of 11 studies comprising 1,105 patients were identified. During a mean/median follow-up of 8.5 to 41 months 207 patients had ventricular arrhythmic events. Ventricular arrhythmic events were more common in patients with a greater extent of LV scar: RR 4.33 [95 % CI: 2.98 to 6.29], positive LR 1.98 (95 % CI: 1.66 to 2.37), and negative LR 0.33 (95 % CI: 0.24 to 0.46). The authors concluded that the extent of LGE on CMR is strongly associated with the occurrence of ventricular arrhythmias in patients with reduced left ventricular ejection fraction and may be a valuable risk-stratification tool for identifying patients who will benefit from ICD therapy. However, they stated that uncertainties regarding clinical application persist and need to be addressed prior to introduction into broad clinical practice.
den Hartog et al (2013) provided an overview of the literature that assessed the agreement between MRI and histology for specific carotid plaque characteristics associated with vulnerability in terms of sensitivity and specificity. A systematic search strategy was conducted in MEDLINE and EMBASE databases resulting in 1,084 articles; these investigators included 17 papers. Due to variation in presentation, especially in MRI and histology methods, a pooled analysis could not be performed. Two studies were performed on a 3.0-T MRI scanner; all other studies were performed on a 1.5-T scanner. Most performed sequences were two-dimensional (2-D) and 3-D T1-weighted and all histology protocols varied slightly. These findings indicated that calcification, fibrous cap, intra-plaque hemorrhage (IPH) and lipid-rich necrotic cores can be identified with moderate-to-good sensitivity and specificity. The authors concluded that based on current literature, it appears premature for routine application of MRI as an imaging modality to assess carotid plaque characteristics associated with plaque vulnerability. They stated that although MRI still holds promise, clinical application for plaque characterization would require consensus regarding MRI settings and confirmation by histology. Pre-defined protocols for histology and MR imaging need to be established.
Saam et al (2013) performed a systematic review and meta-analysis to determine precise estimates of the predictive value of carotid IPH as determined by MRI for cerebrovascular events. These investigator searched PubMed, EMBASE, and the Cochrane Library through September 2012 for studies that followed more than 35 individuals after baseline MRI. Independent observers abstracted information on populations, MR techniques, outcomes, and study quality. Risk estimates of the presence of IPH for cerebrovascular events were derived in random effects regression analysis, and causes of heterogeneity were determined in meta-regression analysis. These researchers identified 8 eligible studies including 689 participants who underwent carotid MRI. The prevalence of IPH at baseline was high (49.0 %). Over a median follow-up of 19.6 months, a total of 108 cerebrovascular events occurred (15.7 % event rate). The presence of IPH was associated with an approximately 6-fold higher risk for events (HR: 5.69; 95 % CI: 2.98 to 10.87). The annualized event rate in subjects with detectable IPH was 17.71 % compared with 2.43 % in patients without IPH. Meta-regression analysis showed symptomatic subjects had higher risks as compared with asymptomatic subjects (HR: 11.71, 95 % CI: 5.17 to 26.48 versus HR: 3.50, 95 % CI: 2.59 to 4.73, p = 0.0065). Also, differences were observed for sex and sample size (all p < 0.01), with moderate visual publication bias due to missing smaller sample-size studies (p = 0.18). The authors concluded that presence of IPH on MRI strongly predicts cerebrovascular events. Moreover, they stated that homogenization of future studies is needed to allow for sufficient assessment of level of evidence for intervention trials.
Graft Monitoring Following Heart Transplantation
International Society of Heart and Lung Transplantation Guidelines for the care of heart transplant recipients (Costanzo, et al., 2010) state that the routine clinical use of MRI for acute allograft rejection monitoring is not recommended. Furthermore, an UpToDate review on “Clinical utility of cardiovascular magnetic resonance imaging” (Fuisz and Pohost, 2015) does not mention cardiac rejection as a potential indication of CMR.
Usman et al (2012) noted that acute rejection is a major factor impacting survival in the first 12 months after cardiac transplantation. Transplant monitoring requires invasive techniques. Cardiac magnetic resonance (CMR) has been used in monitoring heart transplants. Prolonged T2 relaxation has been related to transplant edema and possibly rejection. These researchers hypothesized that prolonged T2 reflects transplant rejection and that quantitative T2 mapping will concur with the pathological and clinical findings of acute rejection. In a pilot study, patients were recruited within the 1st year after transplantation. Biopsies were graded according to the International Society for Heart Lung Transplant system for cellular rejection with immunohistochemistry for humoral rejection. Rejection was also considered if patients presented with signs and symptoms of hemodynamic compromise without biopsy evidence of rejection who subsequently improved with treatment. Patients underwent a novel single-shot T2-prepared steady-state free precession 4-chamber and 3 short axis sequences and regions of interest were drawn overlying T2 maps by 2 independent blinded reviewers. A total of 74 (68 analyzable) CMRs T2 maps in 53 patients were performed. There were 4 cellular, 2 humoral, and 2 hemodynamic rejection cases. The average T2 relaxation time for grade 0R (n = 46) and grade 1R (n = 17) was 52.5 ± 2.2 and 53.1 ± 3.3 ms (mean ± SD), respectively. The average T2 relaxation for grade 2R (n = 3) was 59.6 ± 3.1 ms and 3R (n = 1) was 60.3 ms (all p value < 0.05 compared with controls). The T2 average in humoral rejection cases (n = 2) was 59.2 ± 3.3 ms and the hemodynamic rejection (n = 2) was 61.1 ± 1.8 ms (p < 0.05 versus controls). The average T2 relaxation time for all-cause rejection versus no rejection is 60.1 ± 2.1 versus 52.8 ± 2.7 ms (p < 0.05). All rejection cases were rescanned 2.5 months after treatment and demonstrated T2 normalization with average of 51.4 ± 1.6 ms. No difference was found in ventricular function between non-rejection and rejection patients, except in ventricular mass 107.8 ± 10.3 versus 127.5 ± 10.4 g (p < 0.05). The authors concluded that quantitative T2 mapping offered a novel non-invasive tool for transplant monitoring, and these initial findings suggested potential use in characterizing rejections. Given the limited numbers, a larger multi-institution study may help elucidate the benefits of T2 mapping as an adjunctive tool in routine monitoring of cardiac transplants.
Urbanowicz et al (2014) stated that diagnosis of rejection is a major objective in the management of heart transplant recipients. It has been reported that 1/3 of protocol biopsies in asymptomatic, biochemically stable organ transplant recipients in the first 6 months show unsuspected subclinical graft rejection. These researchers presented the case of a 43-year old man suffering from dilated cardiomyopathy who underwent orthotropic heart transplantation. The patient was admitted for a protocol endomyocardial biopsy and MRI on the 4th post-operative month as a protocol procedure. The examination revealed clinical status NYHA I with no signs of fatigue, diminution of exercise tolerance, or shortness of breath. His body temperature was not raised. He was referred for endomyocardial biopsy and cardiovascular magnetic resonance (CMR) imaging, which showed good left and right ventricle function and contractility. T2 imaging revealed increased signal in the area of the right ventricular free wall, seen both in 4-chamber and short axis views. The patient underwent an endomyocardial biopsy, which demonstrated diffuse infiltrate with multifocal miocyte damage and cellular edema recognized as acute rejection (3a ISHLT grade). Consequently, the patient was treated with parenteral methylprednisolone administration. The CMR study performed after 1 week of therapy showed that the signal intensity of the edematous areas was significantly decreased. Repetitive endomyocardial biopsy revealed no signs of rejection. The authors concluded that CMR can be helpful in graft monitoring following heart transplantation. It gives a whole-heart perspective that can be competitive with and/or complementary to endomyocardial biopsy.
Diagnosis and Disease Monitoring of Cardiac Involvement in Systemic Amyloidosis
American College of Cardiology appropriate use criteria for cardiac MRI (2006) rated evaluation of specific cardiomyopathies (infiltrative [amyloid, sarcoid], HCM, or due to cardiotoxic therapies) as an appropriate indication for cardiac MRI.
Barison et al (2015) noted that cardiac involvement in systemic amyloidosis is caused by the extracellular deposition of misfolded proteins, mainly immunoglobulin light chains (AL) or transthyretin (ATTR), and may be detected by CMR. These researchers measured myocardial extra-cellular volume (ECV) in amyloid patients with a novel T1 mapping CMR technique and determined the correlation between ECV and disease severity. A total of 36 patients with biopsy-proven systemic amyloidosis (mean age of 70 ± 9 years, 31 men, 30 with AL and 6 with ATTR amyloidosis) and 7 patients with possible amyloidosis (mean age of 64 ± 10 years, 6 men) underwent comprehensive clinical and CMR assessment, with ECV estimation from pre- and post-contrast T1 mapping; 30 healthy subjects (mean age of 39 ± 17 years, 21 men) served as the control group. Amyloid patients presented with LV concentric hypertrophy with impaired bi-ventricular systolic function. Cardiac ECV was higher in amyloid patients (definite amyloidosis, 0.43 ± 0.12; possible amyloidosis, 0.34 ± 0.11) than in control subjects (0.26 ± 0.04, p < 0.05); even in amyloid patients without late gadolinium enhancement (0.35 ± 0.10), ECV was significantly higher than in the control group (p < 0.01). A cut-off value of myocardial ECV greater than 0.316, corresponding to the 95th percentile in normal subjects, showed a sensitivity of 79 % and specificity of 97 % for discriminating amyloid patients from control subjects (area under the curve of 0.884). Myocardial ECV was significantly correlated with LVEF (R(2) = 0.16), LV mean wall thickness (R(2) = 0.41), LV diastolic function (R(2) = 0.21), right ventricular ejection fraction (R(2) = 0.13), N-terminal fragment of the pro-brain natriuretic peptides (R(2) = 0.23) and cardiac troponin (R(2) = 0.33). The authors concluded that myocardial ECV was increased in amyloid patients and correlated with disease severity. Thus, measurement of myocardial ECV represents a potential non-invasive index of amyloid burden for use in early diagnosis and disease monitoring.
Detection of Subclinical Cardiac Involvement in Kearns-Sayre Syndrome
Kabunga et al (2015) stated that Kearns-Sayre syndrome (KSS) is a mitochondrial disorder characterized by onset before the age of 20 years, progressive external ophthalmoplegia, and pigmentary retinopathy, accompanied by cardiac conduction defects, elevated cerebrospinal fluid protein or cerebellar ataxia; 50 % of patients with KSS develop cardiac complications. The most common cardiac manifestation is conduction disease that may progress to complete atrio-ventricular block or bradycardia-related polymorphic ventricular tachycardia (PMVT). The management of cardiac electrical disease associated with KSS and mitochondrial cytopathy was systematically reviewed including the case of a 23-year old female patient with KSS who developed a constellation of cardiac arrhythmias including rapidly progressive conduction system disease and monomorphic ventricular tachycardia with myocardial scarring. The emerging role of cardiac MRI (CMR) in detecting subclinical cardiac involvement was also highlighted.
An UpToDate review on “Mitochondrial myopathies: Clinical features and diagnosis” (Genge and Massie, 2105) states that “Kearns-Sayre syndrome (KSS) refers to the combination of CPEO [chronic progressive external ophthalmoplegia] with pigmentary retinopathy and onset before age 20. Other abnormalities have been described, including short stature, cerebellar ataxia, raised CSF protein (> 100 mg/dL), cardiac conduction defects or cognitive deficits/mental retardation. KSS is usually more aggressive than isolated CPEO, progressing to complete ophthalmoparesis, and often to death by the fourth decade due to the associated deficits. Patients with either disorder can develop a proximal myopathy, which usually does not limit daily functioning, particularly for patients with CPEO”. This review does not mention cardiac MRI as a management tool.
Children with Suspected or Confirmed Pulmonary Hypertension/Pulmonary Hypertensive Vascular Disease
Qian and co-workers (2015) examined the clinical value of CMR imaging in the assessment of right ventricular (RV) function in patients with PH. The PubMed/Medline, Wanfang data, CNKI (from January 2001 to April 2015) were searched. The search terms were pulmonary arterial hypertension, right ventricular function, and cardiac magnetic resonance imaging. An inclusion criterion was patients suffering from PH, and healthy volunteers served as controls. All the subjects investigated had received CMR imaging. Main outcome measures included right ventricular end diastolic volume (RVEDV), right ventricular end systolic volume (RVESV) and right ventricular ejection fraction (RVEF). Meta-analysis was conducted by RevMan 5.0 software provided by Cochrane Collaboration, and the publication bias was analyzed by the funnel plot analysis. A total of 5 papers involving 381 patients met inclusion criteria. It was showed by meta-analysis that compared with healthy control group, RVEDV was increased in the PH group [weighted mean difference (WMD) = 33.96, 95 % CI: 20.80 to 47.12, p < 0.00001], RVESV was increased (WMD = 41.91, 95 % CI: 29.63 to 54.19, p < 0.00001), and RVEF was decreased (WMD = -20.09, 95 % CI: -22.65 to -17.52, p < 0.00001). The authors concluded that CMR imaging can be used to evaluate RV function of patients with PH, and it has important significance in the evaluation of RV function in patients with PH.
Baggen and associates (2016) provided a comprehensive overview of all reported CMR findings that predict clinical deterioration in PH. Medline and Embase electronic databases were systematically searched for longitudinal studies published by April 2015 that reported associations between CMR findings and adverse clinical outcome in PAH. Studies were appraised using previously developed criteria for prognostic studies. Meta-analysis using random effect models was performed for CMR findings investigated by 3 or more studies. A total of 8 papers (539 patients) investigating 21 different CMR findings were included. Meta-analysis showed that RVEF was the strongest predictor of mortality in PH (pooled HR 1.23 [95 % CI: 1.07 to 1.41], p = 0.003) per 5 % decrease. In addition, RVEDV index (pooled HR 1.06 [95 % CI: 1.00 to 1.12], p = 0.049), RVESV index (pooled HR 1.05 [95 % CI: 1.01 to 1.09], p = 0.013) and LVEDV index (pooled HR 1.16 [95 % CI: 1.00 to 1.34], p = 0.045) were of prognostic importance; RV and LV mass did not provide prognostic information (p = 0.852 and p = 0.983, respectively). The authors concluded that the findings of this meta-analysis substantiated the clinical yield of specific CMR findings in the prognostication of PH patients. Decreased RV ejection was the strongest and most well established predictor of mortality. The authors stated that CMR is useful for prognostication in PH; RVEF was the strongest predictor of mortality. Moreover, they noted that serial CMR evaluation appeared to be of additional prognostic importance.
Latus and colleagues (2016) stated that childhood PH is a heterogeneous disease associated with considerable morbidity and mortality. Invasive assessment of hemodynamics is crucial for accurate diagnosis and guidance of medical therapy. However, adequate imaging is increasingly important in children with PH to evaluate the right heart and the pulmonary vasculature. Cardiac MRI and CT represent important non-invasive imaging modalities that may enable comprehensive assessment of RV function and pulmonary hemodynamics. These investigators presented graded consensus recommendations for the evaluation of children with PH by CMR and CT. They provided a structured approach for the use of CMR and CT imaging, emphasizing non-invasive variables of RV function, myocardial tissue and afterload parameters that may be useful for initial diagnosis and monitoring. The authors noted that the European Pediatric Pulmonary Vascular Disease Network, endorsed by the International Society of Heart and Lung Transplantation (ISHLT) and the German Society of Pediatric Cardiology (DGPK), recommended cardiac MRI, without anesthesia/sedation, for children with suspected or confirmed pulmonary hypertension/pediatric pulmonary hypertensive vascular disease as part of the diagnostic evaluation and during follow-up to assess changes in ventricular function and chamber dimensions (Class of Recommendation = 1; Level of Evidence = B).
Blood Oxygenation Level-Dependent Cardiac MRI in individuals with Critical Limb Ischemia
Bajwa and colleagues (2016) noted that use of blood oxygenation level-dependent CMR (BOLD-CMR) to assess perfusion in the lower limb has been hampered by poor reproducibility and a failure to reliably detect post-revascularization improvements in patients with critical limb ischemia (CLI). These researchers developed BOLD-CMR as an objective, reliable clinical tool for measuring calf muscle perfusion in patients with CLI. The calf was imaged at 3-T in young healthy control subjects (n = 12), age-matched control subjects (n = 10), and patients with CLI (n = 34). Signal intensity time curves were generated for each muscle group and curve parameters, including signal reduction during ischemia (SRi) and gradient during reactive hyperemia (Grad). BOLD-CMR was used to assess changes in perfusion following revascularization in 12 CLI patients. Muscle biopsies (n = 28), obtained at the level of BOLD-CMR measurement and from healthy proximal muscle of patients undergoing lower limb amputation (n = 3), were analyzed for capillary-fiber ratio. There was good inter-user and inter-scan reproducibility for Grad and SRi (all p < 0.0001). The ischemic limb had lower Grad and SRi compared with the contralateral asymptomatic limb, age-matched control subjects, and young control subjects (p < 0.001 for all comparisons). Successful revascularization resulted in improvement in Grad (p < 0.0001) and SRi (p < 0.0005). There was a significant correlation between capillary-fiber ratio (p < 0.01) in muscle biopsies from amputated limbs and Grad measured pre-operatively at the corresponding level. The authors concluded that BOLD-CMR showed promise as a reliable tool for assessing perfusion in the lower limb musculature and merits further investigation in a clinical trial.
Detection of Left Atrial/Left Atrial Appendage Thrombus in Patients with Atrial Fibrillation
In a meta-analysis, Chen and colleagues (2019) evaluated the accuracy of CMR in detecting left atrial/left atrial appendage (LA/LAA) thrombus and analyzed the difference between the diagnostic accuracy of various imaging sequences. PubMed, Web of Science, Embase, and the Cochrane Library were systematically searched for studies from 2000 to 2017 that compared CMR with transesophageal echocardiography (TEE) in detecting LA/LAA thrombus. The CMR images were analyzed in 4 categories: cine-CMR; first-pass contrast-enhanced 3D CMR angiography (CE-MRA); delayed-enhancement CMR (DE-CMR); and CMR, regardless of the magnetic resonance sequences used. Descriptive and quantitative information was extracted and Meta-DiSc 1.4 was used to perform the analysis. The analysis included 582 patients from 7 publications. The pooled sensitivity, specificity, diagnostic OR, LR+, LR-, and summary receiver operating characteristic (ROC) of cine-CMR were 91.00 %, 93.00 %, 50.43, 10.04, 0.24, and 93.93 %, respectively; for CE-MRA, the values were 77.00 %, 97.00 %, 179.21, 51.77, 0.30, and 97.63 %, respectively; for DE-CMR, 100.00 %, 99.00 %, 849.70, 77.62, 0.09, and 99.38 %, respectively; and for CMR, 80.00 %, 99.00 %, 187.54, 24.21, 0.17, and 97.71 %, respectively. The authors concluded that in patients with atrial fibrillation (AF), CMR has been proven to be a favorable diagnostic technique for the detection and assessment of LA/LAA thrombus. Among the imaging sequences evaluated, DE-CMR had the highest sensitivity, specificity, and diagnostic accuracy.
Management of Cardiovascular Complications of Cancer Therapy
Tamene and colleagues (2015) stated that patients with cancer are subject to short-term and long-term adverse cardiovascular outcomes from cancer therapies. It is important to identify patients at risk for cardiotoxicity so that appropriate therapy can be instituted early. Cardiovascular MRI is emerging as a promising imaging modality with unique applications beyond standard left-ventricular (LV) systolic function assessment.
In a prospective study, de Ville de Goyet and associates (2015) examined the role of cardiac MRI in the detection of subclinical left or right ventricular dysfunction as well as the prevalence of myocardial scaring in patients undergoing cancer treatments. A total of 81 children were enrolled in a pre-chemotherapy and then in a yearly protocol including: clinical evaluation; laboratory evaluation; electrocardiogram; echocardiogram; and cardiac MRI. Early LV systolic dysfunction was only detected in 2 patients. The entire cohort presented a significant increase of the left atrial volume as measured by cardiac MRI. This finding correlated with the total cumulative dose of anthracyclines (r = 0.34; p < 0.05) and the mean LV radiation dose (r = 0.86; p < 0.05). These investigators also observed a mild increase of myocardial scaring, similarly correlated to the radiation dose (r = 0.85; p < 0.05). The authors concluded that screening tools for late-onset cardiomyopathy secondary to cancer treatment are lacking. They stated that the findings of this study support the use of cardiac MRI for the evaluation of the left atrial volume, as an early marker of diastolic dysfunction, and myocardial delayed enhancement, as a marker of myocardial fibrosis and scaring. Moreover, they stated that longer follow-up and larger studies are still needed to better define the role of cardiac MRI in the evaluation of childhood cancer survivors.
In a review on “Cardiotoxicity of anticancer treatments: Epidemiology, detection, and management” (Curigliano et al, 2016), cardiac MRI was not mentioned as a detection/management tool.
The Canadian Cardiovascular Society’s guidelines for “Evaluation and management of cardiovascular complications of cancer therapy” (Virani et al, 2016) did not mention cardiac MRI as a management tool.
Jeong and co-workers (2017) stated that cardiac MRI is emerging as an important diagnostic modality in the management of cardiovascular-related dysfunction in oncological diseases. Advances in imaging techniques have enhanced the detection and evaluation of cardiac masses; meanwhile, innovative applications have created a growing role for cardiac MRI for the management of cardiotoxicity caused by cancer therapies. These investigators provided an overview of the clinical indications and technical considerations of cardiac MRI. Its role in the evaluation of cardiac masses and cardiac function was reviewed, and novel sequences were discussed that are giving rise to future directions in cardio-oncology research. A review of the literature was also performed, focusing on cardiac MRI findings associated with cardiac dysfunction related to cancer treatment. Cardiac MRI can be used to differentiate benign and malignant primary cardiac tumors, metastatic disease, and pseudo-tumors with high spatial and temporal resolution. Cardiac MRI can also be used to detect the early and long-term effects of cardiotoxicity related to cancer therapy. This was accomplished through a multi-parametric approach that used conventional bright blood, dark blood, and post-contrast sequences while also considering the applicability of newer T1 and T2 mapping sequences and other emerging techniques. The authors concluded that cardio-oncology programs have an expanding presence in the multi-disciplinary approach of cancer care. Consequently, knowledge of cardiac MRI and its potential applications is critical to the success of contemporary cancer diagnostics and cancer management.
Gavila and colleagues (2017) evaluated the difference between what it is currently done and what standards of care should be used to minimizing and managing cardiac toxicity in breast cancer survivors. A 2-round multi-center Delphi study was carried out. The panel consisted of 100 oncologists who were asked to define the elected therapies for breast cancer patients, the clinical definition and patterns of cancer drug-derived cardiac toxicity, and those protocols focused on early detection and monitoring of cardiovascular outcomes. Experts agreed a more recent definition of cardiotoxicity. Around 38 % of patients with early-stage disease, and 51.3 % cases with advanced metastatic breast cancer had pre-existing risk factors for cardiotoxicity. Among risk factors, cumulative dose of anthracycline greater than or equal to 450 mg/m2 and its combination with other anti-cancer drugs, and a pre-existing cardiovascular disease were considered the best predictors of cardiotoxicity. Echocardiography and radionuclide ventriculography have been the proposed methods for monitoring changes in cardiac structure and function. Breast cancer is generally treated with anthracyclines (80 %), so that the panel strongly stated about the need to plan a strategy to managing cardiotoxicity. A decline of LV ejection fraction (LVEF) of greater than 10 %, to an LVEF value less than 53 % was suggested as a criterion for changing the dose schedule of anthracyclines, or suspending the treatment of chemotherapy plus trastuzumab until the normalization of the LV function. The use of liposomal anthracyclines was strongly suggested as a therapeutic option for breast cancer patients. The authors concluded that this report was the first to produce a set of statements on the prevention, evaluation and monitoring of chemotherapy-induced cardiac toxicity in breast cancer patients.
Furthermore, an UpToDate review on “Clinical utility of cardiovascular magnetic resonance imaging” (Fuisz and Pohost) does not mention cardiac MRI as a management tool.
Diagnosis of Aortic Regurgitation with Cardiac MRI
Myerson and colleagues (2012) stated that current indications for surgery in patients with significant aortic regurgitation (AR) focus on symptoms and left ventricular (LV) dilation/dysfunction. However, prognosis is already reduced by this stage, and earlier identification of patients for surgery could be beneficial. Quantifying the regurgitation may help, but there are limited data on its link with outcome. Cardiovascular magnetic resonance (CMRI) can accurately quantify AR, and these researchers examined if this was associated with the future need for surgery. A total of 113 patients with echocardiographic moderate or severe AR were monitored for up to 9 years (mean of 2.6 ± 2.1 years) following a CMRI scan, and the progression to symptoms or other indications for surgery was monitored. AR quantification identified outcome with high accuracy: 85 % of the 39 subjects with regurgitant fraction greater than 33 % progressed to surgery (mostly within 3 years) in comparison with 8 % of 74 subjects with regurgitant fraction less than or equal to 33 % (p < 0.0001); the area under the curve (AUC) on ROC analysis was 0.93 (p < 0.0001). This ability remained strong on time-dependent Kaplan-Meier survival curves. CMRI-derived LV end-diastolic volume greater than 246 ml had good, although lower, discriminatory ability (AUC 0.88), but the combination of this measure with regurgitant fraction provided the best discriminatory power. The authors concluded that quantification of AR with CMRI showed significant associations with outcome, especially when combined with CMRI-derived LV volume. These investigators stated that this study was of moderate size, however, and not all clinicians were blinded to the CMRI results. They noted that these CMRI parameters might prove useful for identifying suitable patients for early aortic valve replacement, but a clinical trial is recommended to confirm this and determine clinical benefit.
The authors stated that this study had several drawbacks. The moderate sample size and relatively small number of events limited the strength of the conclusions, although follow-up was for a reasonable period of time (mean of 2.6 years, and up to 9 years). The lack of blinding to the CMRI data in 3 of the centers may have biased results. There were no current CMRI criteria/thresholds for recommending surgery, however, and these researchers attempted to minimize any bias where possible and confirmed that there were no significant differences in the association with the progression to surgery between centers. It was possible that some bias remained, particularly given the subjective nature of symptom assessment. The CMRI sequence for flow measurement also differed between centers, as did the analysis software, but the associations with outcome were not different between these subgroups, suggesting that the results may be generalizable for both types of sequence and different vendor software. The researchers stated that there remained a limited number of contraindications to MRI, including most pace-makers and other implanted metallic devices, and a few patients were unsuitable for CMRI however, prosthetic heart valves are not a contraindication.
Ribeiro and associates (2016) stated that residual AR following transcatheter aortic valve replacement (TAVR) is associated with greater mortality; yet, determining AR severity post-TAVR using Doppler echocardiography remains challenging. Cardiovascular MRI is purported as a more accurate means of quantifying AR; however, no data exist regarding the prognostic value of AR as assessed by CMRI post-TAVR. This trial included 135 patients from 3 centers; AR was quantified using regurgitant fraction (RF) measured by phase-contrast velocity mapping CMRI at a median of 40 days post-TAVR, and using Doppler echocardiography at a median of 6 days post-TAVR. Median follow-up was 26 months; clinical outcomes included mortality and re-hospitalization for HF. Moderate-to-severe AR occurred in 17.1 % and 12.8 % of patients as measured by echocardiography and CMRI, respectively. Higher RF post-TAVR was associated with increased mortality (HR: 1.18 for each 5 % increase in RF [95 % CI: 1.08 to 1.30]; p < 0.001) and the combined end-point of mortality and re-hospitalization for HF (HR: 1.19 for each 5 % increase in RF; 95 % CI: 1.15 to 1.23; p < 0.001). Prediction models yielded significant incremental predictive value; CMRI performed a median of 40 days post-TAVR had a greater association with post-TAVR clinical events compared with early echocardiography (p < 0.01); RF greater than or equal to 30 % best predicted poorer clinical outcomes (p < 0.001 for either mortality or the combined end-point of mortality and HF re-hospitalization). The authors concluded that a higher degree of CMRI-quantified AR post-TAVR was associated with increased mortality and poorer clinical outcomes. Quantifying AR by CMRI may help to identify those patients with significant residual AR and the eventual need for additional intervention following TAVR. These researchers stated that future studies are necessary to determine the effect of implementing CMRI post-TAVR in improving the treatment of and outcomes associated with AR post-TAVR.
The authors stated that this study had several drawbacks. Patients were not consecutive and a selection bias might have influenced the results. However, the fact that TTE results were similar to those obtained in prior TAVR studies made this possibility unlikely. Transthoracic echocardiography (TTE) and CMRI examinations were not performed on the same day for the majority of the patients; this precluded the direct comparison between echocardiography and CMRI at the same time-point post-TAVR in assessing the degree of AR and their relative predictive power for clinical outcomes. The results of this study were obtained in patients undergoing TAVR mostly with a balloon-expandable valve, and may not apply to those patients receiving a self-expanding valve. The authors noted that although this study represented the largest series of patients evaluated with CMRI post-TAVR, the study included a relatively small cohort of patients/events, and the results require confirmation in future larger-scale studies.
Lee and colleagues (2018) summarized the utility, application and data supporting use of CMRI to evaluate and quantitate AR. These investigators searched Medline and PubMed for original research articles published since 2000 that provided data on the quantitation of AR by CMRI and identified 11 articles for review. Direct aortic measurements using phase contrast allowed quantitation of volumetric flow across the aortic valve and were highly reproducible and accurate compared with echocardiography. However, this technique requires diligence in prescribing the correct imaging planes in the aorta. Volumetric analytic techniques using differences in ventricular volumes were also highly accurate but less than phase contrast techniques and only accurate when concomitant valvular disease was absent. Comparison of both aortic and ventricular data for internal data verification ensured fidelity of aortic regurgitant data. The authors concluded that CMRI data could be applied to many types of AR including combined aortic stenosis with regurgitation, congenital valve diseases and post-transcatheter valve placement; CMRI also predicted those patients who progress to surgery with high overall sensitivity and specificity. Moreover, these researchers stated that future studies of CMRI in patients with AR to quantify the incremental benefit over echocardiography as well as prediction of cardiovascular events are needed.
Kammerlander and co-workers (2019) noted that accurate quantification of AR severity by echocardiography frequently remains difficult; CMRI is recommended as the complementary method; however, its accuracy and prognostic utility remain unknown. These researchers evaluated the diagnostic and prognostic value of CMRI in chronic AR. A total of 232 consecutive patients (34.5 % were women; 55.5 ± 19.8 years of age) with chronic AR (including 40 with moderate-to-severe, and 44 with severe AR on echocardiography) underwent CMRI within 4 weeks of echocardiography. CMRI included phase-contrast velocity-encoded imaging for the measurement of regurgitant volume and fraction at the sino-tubular junction and assessment of holo-diastolic retrograde flow (HRF) in the descending aorta. Significant AR was defined as the presence of HRF on CMRI. Patients were followed prospectively, and multi-variate Cox regression was applied for outcome analysis using a combination of HF, hospitalization, and cardiovascular death as primary end-point. AR severity on the basis of echo was re-classified in a significant number of patients according to CMRI: 6.8 % with mild AR on echo had HRF on CMR, whereas 34.1 % with severe AR on echo did not have HRF on CMR and were re-classified as having non-significant AR. In 40 patients with uncertain AR severity (moderate-to-severe) on echo, 45.0 % had HRF on CMRI, indicating severe AR. Patients were followed for 35.3 ± 26.6 months. During that period, 63 patients (27.2 %) reached the combined end-point, including 43 (18.5 %) with HF hospitalizations and 20 (8.6 %) with cardiovascular deaths. By multi-variate regression analysis, including clinical as well as imaging parameters, only N-terminal pro-B-type natriuretic peptide concentration (HR: 2.184 [95 % CI: 1.468 to 3.248]; p < 0.001) and HRF on CMRI (HR: 2.774 [95 % CI: 1.131 to 6.802]; p = 0.026) remained significantly associated with outcome. The authors concluded that in chronic AR, CMRI has the potential to add important diagnostic and prognostic information.
Differentiation of the Nature of Cardiac Masses
Ni and colleagues (2020) stated that cardiac masses are rare, but lead to high risk of stroke and death. Because of the different therapeutic approaches, it is important for clinicians to differentiate the nature of masses. Cardiac magnetic resonance (CMR) imaging has high intrinsic soft-tissue contrast and high spatial and temporal resolution and could provide evidence for differential diagnosis of cardiac masses. However, there is no evidence-based conclusion as to its accuracy. Thus, these investigators plan to perform a systematic review on this issue and provide useful information for clinical diagnosis and treatment. They will perform a systematic search in Embase, Cochrane Library, PubMed and Web of Science for diagnostic studies using CMR to detect cardiac masses from inception to October, 2019. Two authors will independently screen titles and abstracts for relevance, review full texts for inclusion and conduct detail data extraction. The methodological quality will be evaluated using the QUADAS-2 tool. If pooling is possible, these researchers will use bi-variate model for diagnostic meta-analysis to estimate summary sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) of CMR, as well as different sequences of CMR. Estimates of sensitivity and specificity from each study will be plotted in summary receive operating curve (ROC) space and forest plots will be constructed for visual examination of variation in test accuracy. If enough studies are available, they will conduct sensitivity analysis and subgroup analysis. The results of this systematic review and meta-analysis will be published in a peer-reviewed journal. The authors stated that to their knowledge, this will be the first systematic review on the accuracy of CMR in the differential diagnosis of cardiac masses. This study will provide evidence and data to form a comprehensive understanding of the clinical value of CMR for cardiac masses patients.
Evaluation of Aortic / Mitral / Tricuspid Stenosis and Patent Foramen Ovale
The Society for Cardiovascular Magnetic Resonance (SCMR)’s position paper on “Clinical indications for cardiovascular magnetic resonance” (Leiner et al, 2020) provided the following information:
- Ascending aortic flow patterns in aortic stenosis (potentially useful, but still investigational)
- Mitral stenosis (Class III)
- Patent foramen ovale (Class III)
- Tricuspid stenosis (Class III).
Class III = provides clinically relevant information but is infrequently used because information from other imaging techniques is usually adequate.
An UpToDate review on “Clinical utility of cardiovascular magnetic resonance imaging” (Fuisz and Pohost, 2021) does not mention patent foramen ovale and tricuspid stenosis as clinical applications. Furthermore, an UpToDate review on “Clinical manifestations and diagnosis of rheumatic mitral stenosis” (Otto, 2021) does not mention cardiac MRI as a diagnostic tool.
Prognostication of Heart Failure with Preserved Ejection Fraction
Assadi and colleagues (2021) stated that CMR is emerging as an important tool in the evaluation of heart failure with preserved ejection fraction (HFpEF). In a systematic review and meta-analysis, these researchers examined the evidence on cardiac MRI for prognostication of HFpEF. Data sources included Scopus (PubMed and Embase) for studies published between 2008 and 2019. Eligibility criteria for study selection were studies that examined the prognostic role of CMR in HFpEF. Random effects meta-analyses of the reported HR for clinical outcomes was carried out. Initial screening identified 97 studies. From these, 9 (9 %) studies met all the criteria. The main CMR methods that showed association to prognosis in HFpEF included late gadolinium enhancement (LGE) assessment of scar (n = 3), tissue characterization with T1-mapping (n = 4), myocardial ischemia (n = 1) and right ventricular dysfunction (RVSD) (n = 1). The pooled HR for all 9 studies was 1.52 (95 % CI: 1.05 to 1.99, p < 0.01). Sub-evaluation by CMR methods revealed varying HRs: LGE (net n = 402, HR = 1.6, 95 % CI: 0.42 to 2.78, p = 0.008); T1-mapping (n = 1623, HR = 1.25, 95 % CI: 0.891 to 1.60, p < 0.001); myocardial ischemia or RVSD (n = 325, HR = 3.19, 95 % CI: 0.30 to 6.08, p = 0.03). The authors concluded that the findings of this meta-analysis showed that multi-parametric CMR had value in prognostication of patients with HFpEF. HFpEF patients with a detectable scar on LGE, fibrosis on T1-mapping, myocardial ischemia or RVSD appeared to have a worse prognosis. Moreover, these researchers stated that more studies are needed to examine the use of multi-parametric CMR in prognostication of patients with HFpEF.
The authors stated that this systematic review and meta-analysis had several drawbacks. These investigators did not include studies that specifically examined the diagnostic accuracy of any CMR metric for HFpEF; thus, they did not report studies that had performed sensitivity/specificity analysis. Caution should be used in the judgement of meta-analysis where heterogeneity was greater than 75 %. Future studies need a clearer framework for acquisition and post-processing to limit this heterogeneity for clinical translation. Due to the lack of significant number of studies representing stress CMR and right ventricular assessment for prognostication in HFpEF, these researchers have combined them into a “heterogenous” group. The findings of this heterogeneous group were only hypothesis-generating and caution should be applied for considerable judgement of the results.
In a retrospective study, Garg and associates (2021) examined the prognostic value of multi-parametric CMR, including left and right heart volumetric assessment, native T1-mapping and LGE in HFpEF. These researchers identified patients with HFpEF who had undergone CMR; CMR protocol included: cines, native T1-mapping and LGE. The mean follow-up period was 3.2 ± 2.4 years. A total of 86 patients with HFpEF who had CMR were included in this trial. Of the 86 patients (85 % hypertensive; 61 % males; 14 % cardiac amyloidosis), 27 (31% ) died during the follow-up period. From all the CMR metrics, LV mass (area under curve [AUC] 0.66, standard error [SE] 0.07, 95 % CI: 0.54 to 0.76, p = 0.02), LGE fibrosis (AUC 0.59, SE 0.15, 95 % CI: 0.41 to 0.75, p = 0.03) and native T1-values (AUC 0.76, SE 0.09, 95 % CI: 0.58 to 0.88, p < 0.01) were the strongest predictors of all-cause mortality. The optimum thresholds for these were: LV mass greater than 133.24 g (HR 1.58, 95 % CI: 1.1 to 2.2, p < 0.01); LGE-fibrosis greater than 34.86 % (HR 1.77, 95 % CI: 1.1 to 2.8, p = 0.01) and native T1 greater than 1056.42 ms (HR 2.36, 95 % CI: 0.9 to 6.4, p = 0.07). In multi-variate Cox regression, CMR score model comprising these 3 variables independently predicted mortality in HFpEF when compared to N-terminal pro-brain-type natriuretic peptide (NTproBNP) (HR 4 versus HR 1.65). In non-amyloid HFpEF cases, only native T1 greater than 1056.42 ms demonstrated higher mortality (AUC 0.833, p < 0.01). In patients with HFpEF, multi-parametric CMR aided prognostication. The authors concluded that these findings demonstrated that left ventricular fibrosis and hypertrophy quantified by CMR were associated with all-cause mortality in patients with HFpEF. Moreover, these researchers stated that future prospective studies are needed to confirm these findings.
The authors stated that this study had several drawbacks. First, this was an observational, single-center study; however, the patients recruited in this study were from the real clinical world, and the overall findings implied a clear advantage of using CMR for prognostication in HFpEF. Second, these investigators only recruited patients who had CMR and the request for CMR was at clinical discretion. This has the potential to introduce selection bias in this study. Third, this trial did not record therapeutic interventions, which may provide further insight into prognosis. Fourth, this study used optimum cut-offs for the CMR variables that may be center-specific, and caution should be used in using these; future larger HFpEF studies are needed to derive more generic cut-offs. Fifth, these researchers excluded patients who had unstable symptoms and were not able to lie flat because of shortness of breath. These patients were more likely to represent a higher risk group with more adverse prognosis.
Furthermore, an UpToDate review on “Clinical utility of cardiovascular magnetic resonance imaging” (Fuisz and Pohost, 2021) states that “Prediction of post-MI mortality -- CMR has been used to evaluate the size of the peri-infarct border zone size in relation to the core infarct as a predictor of post-MI mortality. The peri-infarct border zone is postulated to represent a mixture of viable and scarred myocardium, a heterogeneous region that may represent substrate for ventricular arrhythmias. Thus, the size of the peri-infarct border zone may predict future arrhythmic risk. The survival of 144 patients with documented coronary artery disease and LGE consistent with infarction was assessed at a median follow-up of 2.4 years. Patients with a peri-infarct zone to total infarct (core and peri-infarct zone) ratio above the median were at higher risk of death (28 versus 13 % in those below the median). This emerging methodology requires validation”.
Use of Ferumoxytol for Cardiac Magnetic Resonance Imaging
Lehrman et al (2019) stated that ferumoxytol is a promising non-gadolinium-based contrast agent with numerous varied MRI applications. Previous reviews of vascular applications have focused primarily on cardiac and aortic applications. After considering safety concerns and technical issues, these researchers examined peripheral applications for ferumoxytol-enhanced magnetic resonance angiography (MRA) and venography (MRV) in the upper and lower extremities. Separate searches for each of the following keywords were carried out in PubMed: “ferumoxytol”, “ultrasmall superparamagnetic iron oxide”, and “USPIO”. All studies pertaining to MRA or MRV in humans were included in this review. Case-based examples of various peripheral applications were used to supplement a relatively scant literature in this space. Ferumoxytol’s unique properties including high T1 relaxivity and prolonged intravascular half-life made it the optimal vascular imaging contrast agent on the market and one whose vast potential has only begun to be tapped.
In a multi-center study, Nguyen et al (2019) reported on the data for off-label diagnostic use of ferumoxytol in MRI. The multi-center ferumoxytol MRI registry was established as an open-label, non-randomized surveillance databank without industry involvement. Each center monitored all ferumoxytol administrations, classified adverse events (AEs) using the National Cancer Institute (NCI) Common Terminology Criteria for AEs (grade 1 to 5), and assessed the relationship of AEs to ferumoxytol administration. AEs related to or possibly related to ferumoxytol injection were considered adverse reactions. The core laboratory adjudicated the AEs and classified them with the ACR classification. Analysis of variance (ANOVAR) was used to compare vital signs. Between January 2003 and October 2018, a total of 3,215 patients received 4,240 ferumoxytol injections for MRI. Ferumoxytol dose ranged from 1 to 11 mg/kg of body weight. There were no systematic changes in vital signs following ferumoxytol administration (p > 0.05). No severe, life-threatening, or fatal AEs occurred; 83 (1.9 %) of 4,240 AEs were related or possibly related to ferumoxytol infusions (75 mild [1.8 %], 8 moderate [0.2 %]); and 31 AEs were classified as allergic-like reactions using ACR criteria but were consistent with minor infusion reactions observed with parenteral iron. The authors concluded that diagnostic ferumoxytol use was well-tolerated, associated with no serious AEs, and implicated in few adverse reactions. Registry results indicated a positive safety profile for ferumoxytol use in MRI.
The authors stated that this study had several drawbacks. First, because registry data reflect pragmatic experience, clinical trials criteria are less applicable and reporting efforts by collaborating sites were voluntary. Second, because of the rarity of serious immune-mediated allergic reactions, the current sample size was not sufficiently powered to examine the relationship between injection rate and serious adverse reactions. On the basis of their cohort, the incidence of adverse reactions should be no higher than 2 % at the lower range of injection rates. These researchers used a published serious hyper-sensitivity rate of 0.2 % to 0.9 % from therapeutic administrations and expected 2 to 10 events per 1,000 injections; however, no anaphylaxis or serious reactions were reported in this registry. Although there was potential for AE reporting biases, the absence of serious AEs supported further prospective investigations. A consistent definition of anaphylactic reactions among society guidelines was also lacking. Only 28 % (887 of 3,215) of patients in the registry had vital signs formally recorded, but in the remainder, no symptoms of hypotension were reported. Third, systematic monitoring for iron overload was not carried out. However, from a pragmatic standpoint, iron deficiency, largely related to blood loss, is far more common than iron overload. Ferumoxytol’s long intravascular half-life may influence the MRI signal for days (or weeks to months in some organs depending on the imaging sequences used) after administration and may confound interpretation of MRI findings by inexperienced radiologists. Fourth, these investigators noted that ferumoxytol is priced as a therapeutic agent, and its typical price point (approximately $700 per 17-ml vial) is not realistic for an MRI contrast agent (other than for very limited applications). The per-vial cost varies substantially and does not account for intangible benefits that may outweigh the monetary cost. A further complication is the fact that the typical dose used for diagnostic imaging is less than a full vial, and any unused product must be discarded. The authors stated that ferumoxytol holds promise as a safe alternative or complement to existing gadolinium-based contrast agents and extends MRI applications beyond their current bounds. To-date, and to the authors’ knowledge, no clinical trials have been conducted to directly address the safety of ferumoxytol as an MRI contrast agent; however, full clinical development to establish labeled diagnostic indications may be warranted.
In a systematic review, Ahmad et al (2021) examined the AE rate in patients undergoing MRI with ferumoxytol as a contrast agent. This trial included 39 studies including 5,411 ferumoxytol administrations in 4,336 patients. Multiple databases were searched for studies using ferumoxytol as an off-label MRI contrast agent in any patient population as of April 2020. Studies were eligible for inclusion if they reported the number and severity of AEs (classified by ACR severity of acute reactions). Risk of bias was assessed using the ROBINS-I tool. No deaths related to ferumoxytol administration were reported. A total of 16 studies reported immediate AEs in 3,849 patients undergoing 4,901 ferumoxytol administrations; 97 immediate AEs were reported and the pooled AE proportion for immediate AEs was 0.02 (95 % CI: 0.02 to 0.02); 23 studies reported time-unspecified AEs in 487 patients undergoing 510 ferumoxytol administrations; and 5 time-unspecified AEs were reported; the pooled AE proportion for time-unspecified AEs was 0.01 (95 % CI: 0.00 to 0.04); 88 % of AEs were mild (90/102), 11 % (11/102) were moderate, and 1 % (1/102) was severe; 16 studies were at low-risk of bias, 23 studies were at high-risk of bias. Subgroup analysis by patient population revealed no significant variability (adult versus pediatric). No studies examined the use of ferumoxytol as an alternative to patients who had a prior hyper-sensitivity reaction to gadolinium-based contrast agents (GBCAs). The authors concluded that the overall AE rate for off-label ferumoxytol use as an MRI contrast agent was 2 %, with rare severe reactions and no deaths. To-date, there are no studies examining the safety of ferumoxytol as an alternative to GBCAs in patients with a prior hyper-sensitivity reaction (Level of Evidence = II; Technical Efficacy Stage = V).
Colbert et al (2021) carried out a prospective, animal (pig) study with the objectives of optimizing and evaluating a 2-compartment model for estimation of fractional myocardial blood volume (fMBV) based on ferumoxytol-enhanced MRI (FE-MRI). Myocardial longitudinal spin-lattice relaxation rate (R1) was measured using the MOLLI sequence before and at contrast steady state following 7 ferumoxytol infusions (0.125 to 4.0 mg/kg). fMBV and water exchange were estimated using a 2-compartment model. Model-fitted fMBV was compared to simple fast-exchange fMBV approximation and % change in pre- and post-ferumoxytol R1. Dose under-sampling schemes were examined to reduce acquisition duration. Variation in fMBV was evaluated with a 1-way ANOVA. Fast-exchange fMBV and ferumoxytol dose under-sampling were examined using Bland-Altman analysis. Healthy normal pig showed a mean mid-ventricular fMBV of 7.2 ± 1.4 % and water exchange rate of 11.3 ± 5.1 s−1. There was inter-subject variation in fMBV (p < 0.05) without segmental variation (p = 0.387). fMBV derived from 8-dose and 4-dose sampling schemes had no significant bias (MD = 0.07, p = 0.541, limits of agreement -1.04 % [-1.45 % to -0.62 %] to 1.1 8% [0.77 % to 1.59 %]). Pixel-wise fMBV in 1 swine model with coronary artery stenosis showed elevated fMBV in ischemic segments (apical anterior: 11.90 % ± 4.00 %, apical septum: 16.10 % ± 5.71 %) relative to remote segments (apical inferior: 9.59 % ± 3.35 %, apical lateral: 9.38 % ± 2.35 %). The authors concluded that a 2-compartment model based on FE-MRI using the MOLLI sequence may enable estimation of fMBV in studies of ischemic heart disease.
Nguyen et al (2021) noted that the value of MRI in pediatric congenital heart disease (CHD) is well-recognized; however, the requirement for expert oversight impedes its widespread use. Four-dimensional (4D) multi-phase steady-state imaging with contrast enhancement (MUSIC) is a cardiovascular MRI technique that employs ferumoxytol and captures all anatomic features dynamically. In a prospective, multi-center study, these researchers examined the feasibility of 4D MUSIC MRI in pediatric CHD. Subjects with CHD underwent 4D MUSIC MRI at 3.0 T or 1.5 T between 2014 and 2020. From a pool of 460 total studies, an equal number of MRI studies from 3 sites (n = 60) was chosen for detailed analysis. With use of a 5-point scale, the feasibility of 4D MUSIC was scored on the basis of artifacts, image quality, as well as diagnostic confidence for intra-cardiac and vascular connections (n = 780). Respiratory motion suppression was examined by using the signal intensity profile. Bias between 4D MUSIC and 2D cine imaging was assessed by using Bland-Altman analysis; 4D MUSIC examination duration was compared with that of the local standard for CHD. A total of 206 subjects with CHD underwent MRI at 3.0 T, and 254 subjects underwent MRI at 1.5 T. Of the 60 MRI examinations chosen for analysis (20 per site; median subject age, 14.4 months [inter-quartile range (IQR) of 2.3 to 49 months]; 33 female subjects), 56 (93 %) had good or excellent image quality scores across a spectrum of disease complexity (mean score ± standard deviation [SD]: 4.3 ± 0.6 for site 1, 4.9 ± 0.3 for site 2, and 4.6 ± 0.7 for site 3; p < 0.001). Artifact scores were inversely related to image quality (r = -0.88, p < 0.001) and respiratory motion suppression (p < 0.001, r = -0.45). Diagnostic confidence was high or definite in 730 of 780 (94 %) intra-cardiac and vascular connections. The correlation between 4D MUSIC and 2D cine ventricular volumes and ejection fraction (EF) was high (range of r = 0.72 to 0.85; p < 0.001 for all). Compared with local standard MRI, 4D MUSIC reduced the image acquisition time (44 mins ± 20 versus 12 mins ± 3, respectively; p < 0.001). The authors concluded that 4D multi-phase steady-state imaging with contrast enhancement MRI in pediatric CHD was feasible in a multi-center setting, shortened the examination time, and simplified the acquisition protocol, independently of disease complexity. Moreover, these researchers stated that a prospective, randomized, multi-center study with and without high-level subspecialty skills in cardiovascular MRI is needed for more complete evaluation of the clinical impact of simplified, standardized, image-based care in complex pediatric CHD.
The authors stated that this study had several drawbacks. First, these researchers sampled only 13 % of the available pool of examinations (60 of 460), and the scope of this trial was limited to pediatric patients with CHD who underwent 4D MUSIC MRI under general anesthesia. Second, the 4D MUSIC technique relies on regularity and adequate control of the respiratory waveform during mechanical ventilation; thus, the image quality will reflect how well both cardiac and respiratory motion artifacts are eliminated. In most patients, if the depth of sedation is adequate and neuromuscular blockade is active, respiratory motion suppression is excellent. If, however, 4D MUSIC is performed when the effect of muscle relaxants is wearing off and the depth of anesthesia has lightened, the images will be prone to artifacts. Third, in pediatric CHD MRI, a balance between spatial resolution, temporal resolution, and imaging time is necessary. The range of temporal resolution (20 to 45 msec) relative to the modest number of cardiac phases achieved across the 3 centers reflected a balance between the high HR range that is typical in very small children and the total image acquisition time. As implemented in this study, the 4D MUSIC technique uses only modest levels of data under-sampling by leveraging parallel acquisition without data sharing or interpolation to attain true isotropic 3D resolution. Although current specifications clearly meet the requirements for highly diagnostic studies, much potential remains for image acceleration and reconstruction techniques that can further improve performance. Successful implementation of high-spatial-resolution, sedation-only, or anesthesia-free 4D imaging remains the subject of active research in the authors’ laboratory and others; however, the clinical performance and reliability of such techniques have not yet been established, and these were not the subject of this trial.
Kollar et al (2022) stated that CMR allows for 4D Flow)analysis of CHD. Higher spatial resolution in small infants requires thinner slices, which can degrade the signal. Particularly in infants, the choice of contrast agent (ferumoxytol versus gadolinium) may influence 4D Flow CMR accuracy. In a retrospective, single-center study, these investigators examined the accuracy of 4D Flow CMR measurements compared to gold standard 2D flow phase contrast (PC) measurements in ferumoxytol versus gadolinium-enhanced CMR of small CHD patients with shunt lesions. 4D Flow clinical software (Arterys) was employed to measure flow in great vessels, systemic veins, and pulmonary veins. 4D Flow accuracy was defined as % difference or correlation against conventional measurements (2D-PC) from the same vessels. Subgroup analysis was carried out on 2-ventricular versus 1-ventricular CHD, arterial versus venous flow, as well as low flows (defined as less than 1.5 L/min) in 1V CHD. A total of 21 ferumoxytol-enhanced and 23 gadolinium-enhanced CMR studies were included, with no difference in age (p = 0.70), patient body surface area (BSA; p = 0.67), or vessel diameter (p = 0.22). A total of 10 CMR studies with 1-ventricular CHD were included. Overall, ferumoxytol-enhanced 4D flow CMR measurements reported less % difference to 2D-PC when compared to gadolinium-enhanced 4D Flow CMR studies. In subgroup analyses of arterial versus venous flows (high velocity versus low velocity) and low flow in 1-ventricular CHD, ferumoxytol-enhanced 4D Flow CMR measurements had stronger correlation to 2D-PC CMR. The contrast-to-noise ratio (CNR) in ferumoxytol-enhanced studies was higher than the CNR in gadolinium-enhanced studies. The authors concluded that ferumoxytol-enhanced 4D Flow CMR has improved accuracy when compared to gadolinium 4D Flow CMR, especially for infants with small vessels in CHD.
The authors stated that this study had several drawbacks. First, the study was carried out in a 1 center in a retrospective manner. Second, because the choice to administer gadolinium versus ferumoxytol was clinical in nature, and not systematically varied, this may have introduced bias into the cohorts receiving each contrast agent. However, there were no significant differences in any clinical variable between the 2 cohorts; thus, likely any bias was minimized. Third, the sample size was small, although large enough to show significant reproducibility of 4D Flow CMR measurements in comparison to 2D-PC flow. Implications of the small sample size may have resulted in type-II error and failure to reject the null hypothesis. The inequal distribution of gadolinium-enhanced studies conducted at a spatial resolution of 1.3 mm (n = 3) versus 1.8 mm (n = 20) may have contributed to the insignificant difference in the CNR between these 2 groups. Fourth, the 4D Flow CMR measurements were carried out on a single platform with customized eddy-current phase correction to minimize vendor variability. These researchers stated that further investigation to determine variability between different vendor platforms and different background correction methods are needed. Fifth, the 2D-PC flow measurements were carried out in a clinical setting by various trained non-invasive imaging cardiologists where the spatial resolution, velocity encoding, and scanning time were determined independently based on patient-specific clinical indications. In contrast, the 4D Flow CMR measurements were carried out by an independent operator in a research setting. There were undoubtedly more patients in the gadolinium cohort with a spatial resolution of 1.8 mm, which is a limitation of the retrospective nature of this study.
Yoshida et al (2022) noted that quantitative ventricular volumetry and function are important in the management of CHD. Ferumoxytol-enhanced (FE) 4D MUSIC enables high-resolution, 3D cardiac phase-resolved MRI of the beating heart and extra-cardiac vessels in a single acquisition and without concerns regarding renal impairment. In a Health Insurance Portability and Accountability Act (HIPAA)-compliant and IRB-approved study, these researchers examined the semi-automatic quantification of ventricular volumetry and function of 4D MUSIC MRI using 2D and 3D software platforms. This trial prospectively recruited 50 children with CHD (3 days to 18 years) who underwent 4D MUSIC MRI at 3.0T between 2013 and 2017 for clinical indications. Each patient was either intubated in the neonatal intensive care unit (NICU) or underwent general anesthesia at MRI suite. For 2D analysis, these investigators re-formatted MUSIC images in Digital Imaging and Communications in Medicine (DICOM) format into ventricular short-axis slices with zero inter-slice gap. For 3D analysis, these researchers imported DICOMs into a commercially available 3D software platform. Using semi-automatic thresholding, the authors quantified bi-ventricular volume and ejection fraction (EF). They examined the bias between MUSIC-derived 2D versus 3D measurements and correlation between MUSIC versus conventional 2D balanced steady-state free precession (bSSFP) cine images. These investigators evaluated intra- and inter-observer agreement. There was a high degree of correlation between MUSIC-derived volumetric and functional measurements using 2D versus 3D software (r = 0.99, p < 0.001). Volumes derived using 3D software platforms were larger than 2D by 0.2 to 2.0 ml/m2 whereas EF measurements were higher by 1.2 % to 3.0 %. MUSIC volumetric and functional measures derived from 2D and 3D software platforms corresponded highly with those derived from multi-slice SSFP cine images (r = 0.99, p < 0.001). The MD in volume for re-formatted 4D MUSIC relative to bSSFP cine was 1.5 to 3.9 mL/m2. Intra- and inter-observer reliability was excellent. The authors concluded that accurate and reliable ventricular volumetry and function could be derived from FE 4D MUSIC MRI studies using commercially available 2D and 3D software platforms. These researchers stated that if fully validated in multi-center studies, the FE 4D-MUSIC pulse sequence may super-cede conventional multi-slice 2D cine cardiovascular MRI acquisition protocols for anatomical and functional evaluation of children with complex CHD.
The authors stated that this study had several drawbacks. First, the modest sample size of acquired conventional cine images (n = 10 subjects). Second, the spread in temporal resolution of the 4D MUSIC data. Whereas the temporal resolution of the multi-slice 2D SSFP cine was 40 to 60 ms, the temporal resolution of the 4D MUSIC was as low as 95 ms. Third, in these patients, the clinical questions were about relationships in cardiovascular anatomy rather than regional wall motion or function. Nevertheless, it is reassuring that, even with modest temporal resolution, the volumetric measurements correlated well and were 1.5 to 3.9 ml/m2 higher when compared to multi-slice 2D SSFP cine. These researchers stated that despite these drawbacks, they were able to show that measures of ventricular volume and function from 4D MUSIC MRI using commercially available software were similar to 2D SSFP cine, suggesting that 4D MUSIC may obviate the need to perform supplemental multi-slice 2D cine acquisition.
Renella et al (2022) noted that cardiac magnetic resonance imaging (cMRI) and angiography have a crucial role in the diagnostic evaluation and follow-up of pediatric and adult patients with CHD. Although much of the information required of advanced imaging studies can be provided by standard gadolinium-enhanced MRI, the limitations of precise bolus timing, long scan duration, complex imaging protocols, and the need to image small structures limit more widespread use of this modality. Recent experience with off-label diagnostic use of ferumoxytol has helped to mitigate some of these barriers. Approved by the FDA for IV treatment of anemia, ferumoxytol is an ultra-small super-paramagnetic iron oxide nanoparticle that has a long blood pool residence time and high relaxivity. Once metabolized by macrophages, the iron core is incorporated into the RES. The authors concluded that the use of ferumoxytol with novel MRA techniques has opened up new vistas in non-invasive cardiovascular imaging of pediatric CHD at specialized centers. With continued advancements in the speed of acquisition and the flexibility of image reconstruction, the hope is that these tools will become more widely available to the broader community, offering advanced imaging of CHD without radiation.
Adams et al (2023) stated that ferumoxytol is an ultra-small iron oxide nanoparticle that was originally approved by the Food and Drug Administration (FDA) in 2009 for intravenous (IV) treatment of iron deficiency in adults with chronic kidney disease (CKD). Subsequently, its off-label use as an MRI contrast agent increased in clinical practice, especially in pediatric patients in North America. Unlike conventional MRI contrast agents that are based on the rare earth metal gadolinium (GBCAs), ferumoxytol is biodegradable and carries no potential risk of nephrogenic systemic fibrosis. At FDA-approved doses, ferumoxytol shows no long-term tissue retention in patients with intact iron metabolism. Ferumoxytol provides unique MRI properties, including long-lasting vascular retention (facilitating high-quality vascular imaging) and retention in reticuloendothelial system (RES) tissues; thus, supporting a variety of applications beyond those possible with GBCAs. This Clinical Perspective described clinical and early translational applications of ferumoxytol-enhanced MRI in children and young adults via off-label use in a variety of settings, including vascular, cardiac, and cancer imaging, drawing on the institutional experience of the authors. The authors described current advances in pre-clinical and clinical research using ferumoxytol in cellular and molecular imaging as well as the use of ferumoxytol as a novel potential cancer therapeutic agent (e.g., in RES tissues). Moreover, these researchers stated that FDA approval of ferumoxytol as an MRI contrast agent would facilitate broader real-world application; a growing number of published clinical studies underscore the potential future clinical use of ferumoxytol-enhanced MRI in children and young adults.
Cardiac MRI after Sudden Cardiac Arrest
In a systematic review, Scharinger et al (2024) examined the diagnostic and prognostic value of cardiac MRI after sudden cardiac arrest (SCA). PubMed and Cochrane Library databases were systematically searched for studies examining cardiac MRI after SCA in adult patients (18 years of age or older). The time frame of the encompassed studies spans from January 2012 to January 2023. The study protocol was pre-registered in OSF Registries (www.osf.io/nxaev), and the systematic review was carried out following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The quality of the included studies was evaluated using the Newcastle-Ottawa quality assessment scale. A total of 14 studies entailing 1,367 individuals, 1,257 (91.9 %) of whom underwent cardiac MRI, were included. Inconsistent findings were reported on the diagnostic value of cardiac MRI-specific findings. The included studies reported the following main findings: First, cardiac MRI resulted in a new or alternative diagnosis in patients with SCA; second, cardiac MRI identified pathologic or arrhythmogenic substrates; third, cardiac MRI helped detect myocardial edema (potentially reversible); fourth, cardiac MRI provided evidence for the occurrence of AEs; and fifth, functional markers or ventricular dimensions were considered prognostically relevant in a few studies. Relevant challenges in this systematic review were the lack of comparators and reference standards relative to cardiac MRI as the index test as well as patient selection bias. The authors concluded that cardiac MRI following SCA could contribute to the diagnostic process and offer supplementary information essential for treatment planning.
These researchers stated that the Newcastle-Ottawa Scale (NOS) quality assessment used to evaluate the quality and risk of bias of the included studies highlighted limitations that include a lack of comparative data, patient selection bias, and challenges in study comparability; therefore, limiting definitive conclusions regarding diagnostic accuracy. Furthermore, the analysis emphasized the need for standardized approaches in future studies on cardiac MRI for SCA, proposing consensus guidelines to address heterogeneity, enhance interpretability, and facilitate robust meta-analyses, while considering complexities in post-cardiac arrest physiology. Moreover, these investigators noted that additional constraints included the omission of pediatric patients, defined as younger than 18 years of age. This narrowed the scope of the review, potentially overlooking unique aspects of cardiomyopathies in the pediatric population. In addition, the restriction to English- and German-language studies introduced the possibility of language bias, potentially excluding valuable research conducted in other languages. The potential for patient overlap among studies with common authors and institutions raised considerations, despite efforts to cross-reference inclusion criteria and study populations.
Quantitative Cardiac MRI (Parametric Imaging) for Evaluation of Myocarditis in Children and Adolescents
Das et al (2022) noted that myocarditis comprises many clinical presentations ranging from asymptomatic to sudden cardiac death. The history, physical examination, cardiac biomarkers, inflammatory markers, and electrocardiography (ECG) are usually helpful in the initial assessment of suspected acute myocarditis. Echocardiography is the primary tool to detect ventricular wall motion abnormalities, peri-cardial effusion, valvular regurgitation, and impaired function. The advancement of CMR imaging has been helpful in clinical practice for diagnosing myocarditis. A recent Scientific Statement by the AHA suggested CMR as a confirmatory test to diagnose acute myocarditis in children. However, standard CMR parametric mapping parameters for diagnosing myocarditis are unavailable in pediatric patients for consistency and reliability in the interpretation. These researchers highlighted the unmet clinical needs for standard CMR parametric criteria for diagnosing acute and chronic myocarditis in children; and differentiating dilated chronic myocarditis phenotype from idiopathic dilated cardiomyopathy. Of particular relevance to today's practice, these investigators also examined the potential and limitations of CMR to diagnose acute myocarditis in children exposed to severe acute respiratory syndrome coronavirus-2 infections. They also discussed the multi-inflammatory syndrome in children (MIS-C) and mRNA coronavirus disease 19 (COVID-19) vaccine-associated myocarditis.
These investigators noted that the ongoing COVID-19 pandemic and the increasing number of myocarditis related to SARS-CoV-2 infection might bring about yet another etiological shift. Recently, CMR has emerged as an essential test because of its non-invasive nature, high sensitivity, and ability to comprehensively examine the myocardial function, structure, and tissue characterization; however, CMR findings and late gadolinium enhancement (LGE) extension could be a dynamic process and time-dependent in the acute phase of acute myocarditis. According to the consensus statement by the Society for Cardiovascular Magnetic Resonance (Messroghli et al, 2017), parametric CMR T1 and T2 imaging were superior to LGE in diagnosing and prognosis of acute myocarditis in adults; however, there is a need for external validation of CMR parametric parameters in children. This review identified a crucial need for more in-depth information on CMR parametric imaging parameters to accurately diagnose and manage myocarditis in children and predict adverse long-term outcomes in patients with suspected acute myocarditis.
In a systematic review and meta-analysis, Yao et al (2023) examined the role of quantitative cardiac MRI (CMRI) parameters in myocarditis, including acute and chronic myocarditis (AM and CM), for children and adolescents. These investigators followed the PRISMA guidelines; PubMed, Embase, Web of Science, Cochrane Library, and grey literature were searched. The NOS and the Agency for Healthcare Research and Quality (AHRQ) check-list were employed for quality assessment. Quantitative CMRI parameters were extracted and a meta-analysis was carried out in comparison with healthy controls (HCs). The overall effect size was measured as the WMD. A total of 10 quantitative CMRI parameters of 7 studies were analyzed. Compared with the control group, the myocarditis group reported longer native T1 relaxation time (WMD = 54.00, 95 % CI: 33.21 to 74.79, p <0.001), longer T2 relaxation time (WMD = 2.13, 95 % CI: 0.98 to 3.28, p < 0.001), increased extra-cellular volume (ECV; WMD = 3.13, 95 % CI: 1.34 to 4.91, p = 0.001), elevated early gadolinium enhancement (EGE) ratio (WMD = 1.47, 95 % CI: 0.65 to 2.28, p < 0.001), and increased T2-weighted ratio (WMD = 0.43, 95 % CI: 0.21 to 0.64, p < 0.001). The AM group had longer native T1 relaxation times (WMD = 72.02, 95 % CI: 32.78 to 111.27, p < 0.001), increased T2-weighted ratios (WMD = 0.52, 95 % CI: 0.21 to 0.84 p = 0.001), and impaired LVEF (WMD = -5.84, 95 % CI: -9.69 to -1.99, p = 0.003). Impaired LVEF (WMD = -2.24, 95 % CI: -3.32 to -1.17, p < 0.001) was also observed in the CM group. The authors concluded that statistical differences could be observed in some CMRI parameters between patients with myocarditis and HCs; however, apart from native T1 mapping, there were no large differences in other parameters between the 2 groups, which may reveal the limited benefit of CMRI in evaluating myocarditis in children and adolescents.
Whole Heart Coronary Magnetic Resonance Angiography for Detection of Coronary Artery Disease
In a systematic review and meta-analysis, Kato et al (2023) examined the diagnostic ability of 1.5 T and 3.0 T whole heart magnetic resonance coronary angiography (WHCA) to detect significant coronary artery disease (CAD) on X-ray coronary angiography. These investigators carried out a literature search of electronic databases, including PubMed, Web of Science Core Collection, Cochrane advanced search, and Embase to retrieve and integrate articles showing significant CAD detectability of 1.5 and 3.0 T WHCA. Data from 1,899 patients from 34 studies were included in the meta-analysis. 1.5 T WHCA had a summary area under ROC of 0.88 in the patient-based analysis, 0.90 in the vessel-based analysis, and 0.92 in the segment-based analysis. These values for 3.0 T WHCA were 0.94, 0.95, 0.96, respectively. Contrast-enhanced 3.0 T WHCA had significantly higher specificity than non-contrast-enhanced 1.5 T WHCA on a patient-based analysis (0.87, 95 % CI: 0.80 to 0.92 versus 0.74, 95 % CI: 0.64 to 0.82, p = 0.02). There were no differences in diagnostic performance on a patient-based analysis by use of vasodilators, beta-blockers or between Asian and Western countries. The authors concluded that the diagnostic performance of WHCA was deemed satisfactory, with contrast-enhanced 3.0 T WHCA exhibiting higher specificity compared to non-contrast-enhanced 1.5 T WHCA in a patient-based analysis. There were no significant differences in diagnostic performance on a patient-based analysis in terms of vasodilator or beta-blocker use, nor between Asian and Western countries. Moreover, these researchers stated that further prospective, large-scale, multi-center studies are needed for the widespread global adoption of WHCA.
The authors stated that this study had 2 main drawbacks. First, many of the studies analyzed were single-center studies with a limited number of cases, and the variability in study results could not be ruled out. Second, these investigators carried out several subgroup analyses; however, the number of included studies may be too small to produce statistically valid results.
Cardiac Magnetic Resonance for Absolute Quantification of Myocardial Blood Flow
Papanastasiou et al (2016) stated that mathematical modeling of perfusion cardiovascular magnetic resonance (CMR) data allows absolute quantification of myocardial blood flow (MBF) and could potentially improve the diagnosis and prognostication of obstructive CAD, against the current clinical standard of visual assessments. These researchers compared the diagnostic performance of distributed parameter modeling (DP) against the standard Fermi model, for the detection of obstructive CAD, in per vessel against per patient analysis. A pilot cohort of 28 subjects (24 included in the final analysis) with known or suspected CAD underwent adenosine stress-rest perfusion CMR at 3T. Data were analyzed using Fermi and DP modeling against invasive coronary angiography and fractional flow reserve (FFR), acquired in all subjects. Obstructive CAD was defined as luminal stenosis of 70 % or greater alone, or luminal stenosis 50 % or greater and FFR of 0.80 or less. On ROC analysis, DP modeling out-performed the standard Fermi model, in per vessel and per patient analysis. In per patient analysis, DP modeling-derived myocardial blood flow at stress showed the highest sensitivity and specificity (0.96, 0.92) in detecting obstructive CAD, against Fermi modeling (0.78, 0.88) and visual assessments (0.79, 0.88), respectively. The authors concluded that DP modeling showed consistently increased diagnostic performance against Fermi modeling and demonstrated that it may have merit for stratifying patients with at least 1 vessel with obstructive CAD.
The authors stated that the principal drawback of this study was the small sample size (n = 28); however, this was a pilot study to examine the feasibility of applying the DP model in this cohort of patients with known or suspected CAD. The afore-mentioned methods need to be examined in larger patient cohorts to further evaluate their diagnostic accuracy. For perfusion CMR, a single bolus protocol was implemented to eliminate patient discomfort, similar to previous quantitative perfusion CMR studies at 1.5T and at 3T. Therefore, it was impossible to assess any MBF over-estimations at the specific contrast agent dose (0.05 mmol/kg) used in this study, due to arterial input function saturation issues at 3T. These investigators had previously shown that the DP model was less dependent on saturation effects, although at a lower contrast agent dose (0.03 mmol/kg). However, it is currently shown that DP modeling achieved higher sensitivity and specificity in detecting obstructive CAD in this pilot cohort. This suggested that further investigation is needed to examine if DP modeling may be a more robust method of analysis for single bolus data at 3T, compared to the Fermi model. Any possible mis-registration between the actual architecture of vessel territories and the standard 16-segment model used for myocardial segmentation is a methodological consideration that should not be excluded in both visual and quantitative CMR analysis. Both types of analysis could be subject to overlap of vessel territories which could in turn affect their sensitivity and/or specificity. Despite this, the reference method for quantitative CMR analysis of myocardial perfusion still occurs across the 3 major epicardial arteries and this standard type of analysis was also implemented in this study.
van Dijk et al (2017) noted that stress CMR perfusion imaging is a promising modality for the evaluation of CAD due to high spatial resolution and absence of radiation. Semi-quantitative and quantitative analysis of CMR perfusion are based on signal-intensity curves produced during the first-pass of gadolinium contrast. Multiple semi-quantitative and quantitative parameters have been introduced. Diagnostic performance of these parameters varied extensively among studies and standardized protocols were lacking. In a meta-analysis, these investigators examined the diagnostic accuracy of semi- quantitative and quantitative CMR perfusion parameters, compared to multiple reference standards. PubMed, WebOfScience, and Embase were systematically searched using pre-defined criteria (3,272 articles). A check for duplicates was performed (1,967 articles). Eligibility and relevance of the articles were determined by 2 independent reviewers using pre-defined criteria. The primary data extraction was carried out independently by 2 researchers with the use of a pre-defined template. Differences in extracted data were resolved by discussion between the 2 researchers. The quality of the included studies was assessed using the “Quality Assessment of Diagnostic Accuracy Studies Tool” (QUADAS-2). True positives, false positives, true negatives, and false negatives were subtracted/calculated from the articles. The principal summary measures used to evaluate diagnostic accuracy were sensitivity, specificity, and AUC. Data was pooled according to analysis territory, reference standard, and perfusion parameter. A total of 22 articles were eligible based on the pre-defined study eligibility criteria. The pooled diagnostic accuracy for segment-, territory- and patient-based analyses showed good diagnostic performance with sensitivity of 0.88, 0.82, and 0.83, specificity of 0.72, 0.83, and 0.76 and AUC of 0.90, 0.84, and 0.87, respectively. In per territory analysis, these findings revealed similar diagnostic accuracy comparing anatomical (AUC 0.86 (0.83 to 0.89)) and functional reference standards (AUC 0.88 (0.84 to 0.90)). Only the per territory analysis sensitivity did not show significant heterogeneity. None of the groups showed signs of publication bias. The authors stated that this meta-analysis provided an overview of 23 original studies reporting on the diagnostic accuracy of semi-quantitative or quantitative analysis of stress CMR perfusion on a per segment, per territory or per patient basis for the assessment of significant CAD. Based on these findings, these investigators concluded that due to a high degree of inter-study heterogeneity the real value of signal intensity curve based analyses of stress CMR perfusion still remained unclear. Semi-quantitative analysis showed a higher diagnostic accuracy for per territory analysis in this meta-analysis, possibly because it was less complex and less susceptible to false assumptions during the calculation. However, quantitative analysis still showed the potential to be used for absolute quantification of MBF and further studies should be conducted to determine the quantitative model that best represent true MBF. The standardization and validation of semi-quantitative or quantitative stress CMR perfusion is needed before it can be safely implemented in clinical practice.
The authors stated that the principal drawbacks for this meta-analysis was the small number of studies available regarding either segment, territory or patient based semi-quantitative or quantitative analysis of SI-curves in the assessment of myocardial perfusion using CMR, and the wide variety of CMR protocols used in these studies. This resulted in a high degree of heterogeneity and possible bias making inter-study comparison difficult. In addition, there was an over-representation of male patients in the included studies. This drawback made the findings less generalizable for women. These researchers also decided not to include visual CMR perfusion analysis as the diagnostic accuracy of this assessment has been assessed in previous meta-analyses, and their objective was to examine the diagnostic accuracy of SI-curve based assessment. Another drawback regarding this meta-analysis was the wide variety of reference standards used. These investigators decided to pool all reference standards used to provide a more complete overview of the evidence regarding SI-curve analysis during CMR perfusion. For subgroup analysis, they decided to group reference standards on either providing anatomical or functional information and observed a difference in diagnostic accuracy when using either anatomical or functional reference standards.
Hsu et al (2018) noted that fully quantitative CMR perfusion pixel maps were previously validated with microsphere MBF measurements and showed potential in clinical applications; however, the methods required laborious manual processes and were excessively time-consuming. These researchers developed a fully automated frame-work to quantify MBF from contrast-enhanced CMR (CE-CMR) perfusion imaging and examined its diagnostic performance in patients. CMR perfusion imaging was carried out on 80 patients with known or suspected CAD and 17 healthy volunteers. Significant CAD was defined by quantitative coronary angiography (QCA) as 70 % or greater stenosis. Non-significant CAD was defined by: QCA as less than 70 % stenosis; or coronary computed tomography angiography (CTA) as less than 30 % stenosis and a calcium score of 0 in all vessels. Automatically generated MBF maps were compared with manual quantification on healthy volunteers. Diagnostic performance of the automated MBF pixel maps was analyzed on patients using absolute MBF, myocardial perfusion reserve (MPR), and relative measurements of MBF and MPR. The correlation between automated and manual quantification was excellent (r = 0.96). Stress MBF and MPR in the ischemic zone were lower than those in the remote myocardium in patients with significant CAD (both p < 0.001). Stress MBF and MPR in the remote zone of the patients were lower than those in the normal volunteers (both p < 0.001). All quantitative metrics had good AUC (0.864 to 0.926), sensitivity (82.9 % to 91.4 %), and specificity (75.6 % to 91.1 %) on per-patient analysis. On a per-vessel analysis of the quantitative metrics, AUC (0.837 to 0.864), sensitivity (75.0 % to 82.7 %), and specificity (71.8 % to 80.9 %) were good. The authors concluded that fully quantitative CMR MBF pixel maps could be generated automatically, and the results agreed well with manual quantification. These investigators noted that these methods could discriminate regional perfusion variations and have high diagnostic performance for detecting significant CAD.
The authors stated that this study had several drawbacks. First, the reference standard by invasive QCA and CTA might not reflect microvascular disease in patients. Intra-coronary pressure-derived FFR measurements might more accurately evaluate the physiological significance of coronary artery stenosis. QCA is not able to assess blood flow supply through collateral vessels. These researchers stated that further studies are needed to compare this with absolute MBF measured from independent reference standards. Second, although the automatic MBF measurements agreed well with manual quantification, one should not over-interpret the differences in the Bland-Altman plots. Inclusion of some blood cavity pixels could bias manual measurements and could account for some of the differences observed. Third, the optimum thresholds selected from different perfusion values were tested on the same data as the accuracy evaluation. Until verified in independent datasets, the thresholds should be considered conceptually important but not necessarily generalizable.
Kotecha et al (2019) examined the performance of CMR myocardial perfusion mapping against invasive coronary physiology reference standards for detecting CAD (defined by FFR of 0.80 or less), micro-vascular dysfunction (MVD) (defined by index of microcirculatory resistance [IMR] of 25 or greater) and the ability to differentiate between the two. A total of 50 patients with stable angina and 15 healthy volunteers underwent adenosine stress CMR at 1.5T with quantification of MBF and myocardial perfusion reserve (MPR). FFR and IMR were measured in 101 coronary arteries during subsequent angiography. A total of 27 patients had obstructive CAD, and 23 had non-obstructed arteries (7 normal IMR, 16 abnormal IMR). FFR positive (epicardial stenosis) areas had significantly lower stress MBF (1.47 ± 0.48 ml/g/min) and MPR (1.75 ± 0.60) than FFR-negative IMR-positive (MVD) areas (stress MBF: 2.10 ± 0.35 ml/g/min; MPR: 2.41 ± 0.79) and normal areas (stress MBF: 2.47 ± 0.50 ml/g/min; MPR: 2.94 ± 0.81). Stress MBF of 1.94 ml/g/min or less accurately detected obstructive CAD on a regional basis (AUC: 0.90; p < 0.001). In patients without regional perfusion defects, global stress MBF of less than 1.82 ml/g/min accurately discriminated between obstructive 3-vessel disease and MVD (AUC: 0.94; p < 0.001). The authors concluded that this novel automated pixel-wise perfusion mapping technique could be used to detect physiologically significant CAD defined by FFR, MVD defined by IMR, and to differentiate MVD from multi-vessel coronary disease. Moreover, these researchers stated further research is needed to validate a proposed CMR-based diagnostic algorithm to detect obstructive coronary disease and coronary microvascular dysfunction (CMD) using myocardial perfusion mapping.
The authors stated that this study had several drawbacks. First, the cohort studied were at high-risk of CAD and predominantly male. Accepting this, the diagnostic accuracy of CMR derived stress MBF and MPR was good but the performance of this technique in lower-risk populations requires further investigation. Second, the proposed diagnostic algorithm provided a frame-work for differentiating epicardial disease from MVD and normal; however, the sample size was small, there was no independent validation sample and no adjustments were made for MBF measurements within individuals. Therefore, this algorithm requires further validation in a larger cohort of patients to confirm the accuracy of the suggested cut-off values. In its current form, the technique is not yet fully automated as it requires the user to manually trace endo- and epicardial borders and to visually differentiate regional from global perfusion defects. Third, due to the sample size, effects of confounders such as age, gender, smoking status, and presence of diabetes were not investigated; and the effect of these factors on MBF requires further investigation.
Sakuma and Ishida (2022) stated that stress myocardial perfusion imaging (MPI) is the preferred test in patients with intermediate-to-high clinical likelihood of CAD, and can be used as a gate-keeper to avoid unnecessary re-vascularization. Cardiac magnetic resonance (CMR) has a number of favorable characteristics, including high spatial resolution that can delineate sub-endocardial ischemia; comprehensive assessment of morphology, global and regional cardiac functions, tissue characterization, and coronary artery stenosis; and no radiation exposure to patients. According to meta-analysis studies, the diagnostic accuracy of perfusion CMR is comparable to positron emission tomography (PET) and perfusion CT, and is better than SPECT when FFR is used as a reference standard. Furthermore, stress CMR has an excellent prognostic value. One meta-analysis study showed the annual event rate of cardiovascular death or non-fatal myocardial infarction was 4.9 % and 0.8 %, respectively, in patients with positive and negative stress CMR. Quantitative assessment of perfusion CMR not only allows the objective evaluation of regional ischemia but also provides insights into the pathophysiology of micro-vascular disease and diffuse sub-clinical atherosclerosis. For accurate quantification of myocardial perfusion, saturation correction of arterial input function is important. There are 2 main approaches for saturation correction, one is a dual-bolus method, and the other is a dual-sequence method. Absolute quantitative mapping with myocardial perfusion CMR has good accuracy in detecting coronary microvascular dysfunction. Flow measurement in the coronary sinus (CS) with phase contrast cine CMR is an alternative approach to quantify global coronary flow reserve (CFR). The measurement of global CFR by quantitative analysis of perfusion CMR or flow measurement in the CS allows assessment of micro-vascular disease and diffuse sub-clinical atherosclerosis, which may provide improved prediction of future event risk in patients with suspected or known CAD. The authors concluded that multi-center studies are needed to validate the diagnostic and prognostic values of quantitative perfusion CMR approaches.
Chang et al (2023) stated that ischemia with no obstructive coronary arteries (INOCA) is a relatively newly discovered ischemic phenotype that affects patients similarly to obstructive CAD but has a unique pathophysiology and epidemiology. Patients with INOCA present with ischemic signs and symptoms but no obstructive CAD observed on CTA or invasive coronary angiography, which can assess epicardial vessels. The mechanisms of INOCA can be grouped into 3 endotypes: coronary microvascular dysfunction, epicardial coronary vasospasm, or a combination of both. Accurate and comprehensive assessment of both epicardial and microvascular disease in suspected cases of INOCA is important for providing targeted therapy and improving outcomes in this under-represented population. These investigators clarified the complex pathophysiology of INOCA, presented an overview of invasive and non-invasive diagnostic methods, and examined contemporary approaches for coronary perfusion assessment using CMR. In addition, they examined how recent advancements in quantitative CMR can potentially revolutionize the evaluation of suspected INOCA by offering a rapid, accurate, and non-invasive diagnostic approach; thus, reducing the alarming number of cases that go undetected. These researchers stated that preliminary studies have shown the potential for non-invasive cardiac imaging in characterizing INOCA; however, further investigations are needed to confirm their accuracy and to ascertain how they can provide more refined data to stratify patients by disease severity and/or subtype.
Borodzicz-Jazdzyk et al (2024) implemented a ready-to-use quantitative perfusion (QP) CMR (QP CMR) work-flow, encompassing a simplified dual-bolus gadolinium-based contrast agent (GBCA) administration scheme and fully automated QP image post-processing. A total of 25 patients with suspected obstructive CAD underwent both adenosine stress perfusion CMR and an invasive coronary angiography or CTA. The dual-bolus protocol consisted of a pre-bolus (0.0075 mmol/kg GBCA at 0.5 mmol/ml concentration + 20 ml saline) and a main bolus (0.075 mmol/kg GBCA at 0.5 mmol/ml concentration + 20 ml saline) at an infusion rate of 3 ml/s. The arterial input function curves showed excellent quality. Stress MBF 1.84 ml/g/min or less accurately detected obstructive CAD (AUC 0.79; 95 % CI: 0.66 to 0.89). Combined visual assessment of color pixel QP maps and conventional perfusion images yielded a diagnostic accuracy of 84 %, sensitivity of 70 %, and specificity of 93 %. The authors concluded that the proposed easy-to-use dual-bolus QP CMR work-flow provided good image quality and holds promise for high accuracy in diagnosis of obstructive CAD. These investigators stated that implementation of this approach has the potential to serve as an alternative to current methods; thereby, increasing the accessibility to offer high-quality QP CMR imaging by a wide range of CMR laboratories.
The authors stated that the main drawback of the study is this trial was a small sample size (n = 25) and lack of inclusion of healthy volunteers; thus, larger validation studies are needed to confirm these findings and establish cut-off values of stress MBF to detect obstructive CAD. Moreover, these investigators did not carry out a head-to-head comparison with the conventionally used GBCA administration schemes. In a young healthy population the blood flow may reach even 4 ml/g/min; thus, choosing the moderate infusion rate at 3 ml/s may cause a bias with under-estimation of MBF in this population. In this trial, the presented protocol was applied to patients suspected of having obstructive CAD, who had cardiovascular risk factors, and some of them already had a history of CAD. Therefore, a moderate infusion rate of 3 ml/s applied together with 2 concentrated boluses appeared to be a reasonable compromise that could be implemented in daily clinical practice. After exclusion of coronary territories with late gadolinium enhancement (LGE), the prevalence of coronary artery obstruction was relatively low. As a consequence, the authors’ approach yielded relatively low PPV. However, even based on such a small cohort, their simplified dual-bolus scanning protocol showed comparable results to other studies validating QP CMR on larger population of patients in an easy to implement approach in contemporary clinical practice. Nevertheless, larger studies involving simultaneously comprehensive assessment of coronary physiology and function of microcirculation are needed to provide the precise (age- and sex-specific) cut-off values, and propose a diagnostic algorithm to detect obstructive CAD and CMD using our work-flow. It is also important to recognize the overall limitation of perfusion CMR, presence of dark rim artifact, which due to loss of signal intensity (SI) may result in false-positive results in QP analysis and possibly affect the accuracy of this method. Lastly, the fully-automated QP CMR software remains a research tool and further studies on its validation in clinical practice are needed.
References
The above policy is based on the following references:
- Adams LC, Jayapal P, Ramasamy SK, et al. Ferumoxytol-enhanced MRI in children and young adults: State of the art. AJR Am J Roentgenol. 2023;220(4):590-603.
- Ahmad F, Treanor L, McGrath TA, et al. Safety of off-label use of ferumoxtyol as a contrast agent for MRI: A systematic review and meta-analysis of adverse events. J Magn Reson Imaging. 2021;53(3):840-858.
- American College of Radiology (ACR). Standard for the Performance of Magnetic Resonance Imaging. Reston, VA: ACR; 2000.
- American Heart Association (AHA). Medical /Scientific Statement. Practice Guidelines for the Use of Imaging in Transient Ischemic Attacks and Acute Stroke. Dallas, TX: AHA; 1994. Available at: http://www.americanheart.org/Scientific/statements/1994/
069401.html. Accessed January 25, 2001. - American Heart Association. Guidelines for the management of transient ischemic attacks. From the Ad Hoc Committee on Guidelines for the Management of Transient Ischemic Attacks of the Stroke Council of the American Heart Association. Stroke. 1994;25(6):1320-1335.
- American Medical Association, Council on Scientific Affairs. Magnetic resonance imaging. Prologue. Council on Scientific Affairs. JAMA. 1987;258(22):3283-3285.
- Ammash NM, Connolly HM. Ventricular septal defect in adults. UpToDate [online serial]. Waltham, MA: UpToDate; reviewed April 2013.
- Aquaro GD, Di Bella G, Castelletti S, et al. Clinical recommendations of cardiac magnetic resonance, Part I: Ischemic and valvular heart disease: A position paper of the working group 'Applicazioni della Risonanza Magnetica' of the Italian Society of Cardiology. J Cardiovasc Med (Hagerstown). 2017;18(4):197-208.
- Assadi H, Jones R, Swift AJ, et al. Cardiac MRI for the prognostication of heart failure with preserved ejection fraction: A systematic review and meta-analysis. Magn Reson Imaging. 2021;76:116-122.
- Aviram G, Fishman JE. Magnetic resonance imaging of the heart and great vessels. Can Assoc Radiol J. 2004;55(2):96-101.
- Baggen VJ, Leiner T, Post MC, et al. Cardiac magnetic resonance findings predicting mortality in patients with pulmonary arterial hypertension: A systematic review and meta-analysis. Eur Radiol. 2016;26(11):3771-3780.
- Bajwa A, Wesolowski R, Patel A, et al. Blood oxygenation level-dependent CMR-derived measures in critical limb ischemia and changes with revascularization. J Am Coll Cardiol. 2016;67(4):420-431.
- Barison A, Aquaro GD, Pugliese NR, et al. Measurement of myocardial amyloid deposition in systemic amyloidosis: Insights from cardiovascular magnetic resonance imaging. J Intern Med. 2015;277(5):605-614.
- Baron MB. Magnetic Resonance Imaging of the Heart. In: Essentials of Radiologic Imaging. 6th ed. JH Juhl, AB Crummy, eds. Philadelphia, PA: JB Lippincott Company; 1993:1139-1148.
- Bauner KU, Wintersperger B. MRI in cardiac sarcoidosis and amyloidosis. Radiologe. 2013;53(1):54-60.
- Beanlands RS, Chow BJ, Dick A, et al; Canadian Cardiovascular Society; Canadian Association of Radiologists; Canadian Association of Nuclear Medicine; Canadian Nuclear Cardiology Society; Canadian Society of Cardiac Magnetic Resonance. CCS/CAR/CANM/CNCS/CanSCMR joint position statement on advanced noninvasive cardiac imaging using positron emission tomography, magnetic resonance imaging and multidetector computed tomographic angiography in the diagnosis and evaluation of ischemic heart disease -- executive summary. Can J Cardiol. 2007;23(2):107-119.
- Blissett S, Chocron Y, Kovacina B, Afilalo J. Diagnostic and prognostic value of cardiac magnetic resonance in acute myocarditis: A systematic review and meta-analysis. Int J Cardiovasc Imaging. 2019;35(12):2221-2229.
- Bonow RO, Carabello B, de Leon AC, et al. ACC/AHA Guidelines for the management of patients with valvular heart disease. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Heart Valve Dis. 1998;7(6):672-707.
- Borodzicz-Jazdzyk S, Vink CEM, Demirkiran A, et al. Clinical implementation of a fully automated quantitative perfusion cardiovascular magnetic resonance imaging workflow with a simplified dual-bolus contrast administration scheme. Sci Rep. 2024;14(1):9665.
- Braunwald E. Heart Disease: A Textbook of Cardiovascular Medicine. 5th ed. Philadelphia, PA: W. B. Saunders Company; 1997:317-335.
- Breuckmann F, Nassenstein K, Bruder O, et al. Cardiac magnetic resonance imaging in the diagnosis of acute coronary syndrome. Basics and clinical value. Herz. 2008;33(2):129-135.
- Chalela JA. Evaluating the carotid plaque: Going beyond stenosis. Cerebrovasc Dis. 2009;27 Suppl 1:19-24.
- Chang A, Kang N, Chung J, et al. Evaluation of ischemia with no obstructive coronary arteries (INOCA) and contemporary applications of cardiac magnetic resonance (CMR). Medicina (Kaunas). 2023;59(9):1570.
- Chen J, Zhang H, Zhu D, et al. Cardiac MRI for detecting left atrial/left atrial appendage thrombus in patients with atrial fibrillation: Meta-analysis and systematic review. Herz. 2019;44(5):390-397.
- Chen S, Cunningham J. Magnetic resonance imaging for patients with valvular heart disease: A review of clinical-effectiveness. Ottawa, ON: Canadian Agency for Drugs and Technologies in Health (CADTH); 2009.
- Colbert CM, Thomas MA, Yan R, et al. Estimation of fractional myocardial blood volume and water exchange using ferumoxytol-enhanced magnetic resonance imaging. J Magn Reson Imaging. 2021;53(6):1699-1709.
- Costanzo MR, Dipchand A, Starling R, et al.; International Society of Heart and Lung Transplantation Guidelines. The International Society of Heart and Lung Transplantation Guidelines for the care of heart transplant recipients. J Heart Lung Transplant. 2010;29(8):914-956.
- Culebras A, Kase CS, Masdeu JC, et al. Practice guidelines for the use of imaging in transient ischemic attacks and acute stroke. A report of the Stroke Council, American Heart Association. Stroke. 1997;28(7):1480-1497.
- Curigliano G, Cardinale D, Dent S, et al. Cardiotoxicity of anticancer treatments: Epidemiology, detection, and management. CA Cancer J Clin. 2016;66(4):309-325.
- Das BB, Akam-Venkata J, Abdulkarim M, Hussain T. Parametric mapping cardiac magnetic resonance imaging for the diagnosis of myocarditis in children in the era of COVID-19 and MIS-C. Children (Basel). 2022;9(7):1061.
- de Ville de Goyet M, Brichard B, Robert A, et al. Prospective cardiac MRI for the analysis of biventricular function in children undergoing cancer treatments. Pediatr Blood Cancer. 2015;62(5):867-874
- den Hartog AG, Bovens SM, Koning W, et al. Current status of clinical magnetic resonance imaging for plaque characterisation in patients with carotid artery stenosis. Eur J Vasc Endovasc Surg. 2013;45(1):7-21.
- Dweck MR, Williams MC, Moss AJ, et al. Computed tomography and cardiac magnetic resonance in ischemic heart disease. J Am Coll Cardiol 2016;68:2201-2216.
- Earls JP, Ho VB, Foo TK, et al. Cardiac MRI: Recent progress and continued challenges. J Magn Reson Imaging. 2002;16(2):111-127.
- Edelman RR, Warach S. Magnetic resonance imaging (2). N Engl J Med. 1993;328(11):785-791.
- European Society of Cardiology. The clinical role of magnetic resonance in cardiovascular disease. Task Force of the European Society of Cardiology, in collaboration with the Association of European Paediatric Cardiologists. Eur Heart J. 1998;19(1):19-39.
- Foerster V, Murtagh J, Lentle BC, et al. CT and MRI for selected clinical disorders: A systematic review of clinical systematic reviews. Technology Report Issue 59. Ottawa, ON: Canadian Coordinating Office for Health Technology Assessment (CCOHTA); 2005.
- Fuisz AR, Pohost GM. Clinical utility of cardiovascular magnetic resonance imaging. UpToDate [online serial]. Waltham, MA: UpToDate; reviewed March 2015 (Updated March 2018; March 2021).
- Fyfe DA, Parks WJ. Noninvasive diagnostics in congenital heart disease: Echocardiography and magnetic resonance imaging. Crit Care Nurs Q. 2002;25(3):26-36.
- García-García HM, Gonzalo N, Granada JF, et al. Diagnosis and treatment of coronary vulnerable plaques. Expert Rev Cardiovasc Ther. 2008;6(2):209-222.
- Garg P, Assadi H, Jones R, et al. Left ventricular fibrosis and hypertrophy are associated with mortality in heart failure with preserved ejection fraction. Sci Rep. 2021;11(1):617.
- Gavila J, Segui MA, Calvo L, et al. Evaluation and management of chemotherapy-induced cardiotoxicity in breast cancer: A Delphi study. Clin Transl Oncol. 2017;19(1):91-104.
- Genge A, Massie R. Mitochondrial myopathies: Clinical features and diagnosis. UpToDate [online serial]. Waltham, MA: UpToDate; reviewed March 2015.
- Green JJ, Berger JS, Kramer CM, Salerno M. Prognostic value of late gadolinium enhancement in clinical outcomes for hypertrophic cardiomyopathy. JACC Cardiovasc Imaging. 2012;5(4):370-377.
- Gulati A, Jabbour A, Ismail TF, et al. Association of fibrosis with mortality and sudden cardiac death in patients with nonischemic dilated cardiomyopathy. JAMA. 2013;309(9):896-908.
- Hamshere S, Jones DA, Pellaton C, et al. Cardiovascular magnetic resonance imaging of myocardial oedema following acute myocardial infarction: Is whole heart coverage necessary? J Cardiovasc Magn Reson. 2016;18(1):7.
- Hauser TH, Manning WJ. The promise of whole-heart coronary MRI. Curr Cardiol Rep. 2008;10(1):46-50.
- Hendel RC, Patel MR, Kramer CM, et al; American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group; American College of Radiology; Society of Cardiovascular Computed Tomography; Society for Cardiovascular Magnetic Resonance; American Society of Nuclear Cardiology; North American Society for Cardiac Imaging; Society for Cardiovascular Angiography and Interventions; Society of Interventional Radiology. ACCF/ACR/SCCT/SCMR/ASNC/NASCI/SCAI/SIR 2006 appropriateness criteria for cardiac computed tomography and cardiac magnetic resonance imaging: a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology. J Am Coll Cardiol. 2006;48(7):1475-1497.
- Hoffman U, Venkatesh V, White RD, et al; Expert Panel on Cardiac Imaging. ACR Appropriateness Criteria acute nonspecific chest pain - low probability of coronary artery disease [online publication]. Reston, BA: American College of Radiology (ACR); 2011.
- Hsu L-Y, Jacobs M, Benovoy M, et al. Diagnostic performance of fully automated pixel-wise quantitative myocardial perfusion imaging by cardiovascular magnetic resonance. JACC Cardiovasc Imaging. 2018;11(5):697-707.
- Hundley WG, Bluemke DA, Finn JP, et al. ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: A report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. Circulation. 2010;121(22):2462-2508.
- Ishida M, Kato S, Sakuma H. Cardiac MRI in ischemic heart disease. Circ J. 2009;73(9):1577-1588.
- Jeong D, Patel A, Francois CJ, et al. Cardiac magnetic resonance imaging in oncology. Cancer Control. 2017;24(2):147-160.
- Kabunga P, Lau AK, Phan K, et al. Systematic review of cardiac electrical disease in Kearns-Sayre syndrome and mitochondrial cytopathy. Int J Cardiol. 2015;181:303-310.
- Kammerlander AA, Wiesinger M, Duca F, et al. Diagnostic and prognostic utility of cardiac magnetic resonance imaging in aortic regurgitation. JACC Cardiovasc Imaging. 2019;12(8 Pt 1):1474-1483.
- Kato S, Azuma M, Nakayama N, et al. Diagnostic accuracy of whole heart coronary magnetic resonance angiography: A systematic review and meta-analysis. J Cardiovasc Magn Reson. 2023;25(1):36.
- Kawaji K, Foppa M, Roujol S, et al. Whole heart coronary imaging with flexible acquisition window and trigger delay. PLoS One. 2015;10(2):e0112020.
- Kellenberger CJ, Yoo SJ, Buchel ER. Cardiovascular MR imaging in neonates and infants with congenital heart disease. Radiographics. 2007;27(1):5-18.
- Kiaos A, Tziatzios I, Hadjimiltiades S, et al. Diagnostic performance of stress perfusion cardiac magnetic resonance for the detection of coronary artery disease: A systematic review and meta-analysis. Int J Cardiol. 2018;252:229-233.
- Kollar SE, Udine ML, Mandell JG, et al. Impact of ferumoxytol vs gadolinium on 4D flow cardiovascular magnetic resonance measurements in small children with congenital heart disease. J Cardiovasc Magn Reson. 2022;24(1):58.
- Kotecha T, Martinez-Naharro A, Boldrini M, et al. Automated pixel-wise quantitative myocardial perfusion Mmapping by CMR to detect obstructive coronary artery disease and coronary microvascular dysfunction: Validation against invasive coronary physiology. JACC Cardiovasc Imaging. 2019;12(10):1958-1969.
- Kramer CM. Magnetic resonance imaging to identify the high-risk plaque. Am J Cardiol. 2002;90(10C):15L-17L.
- Latus H, Kuehne T, Beerbaum P, et al. Cardiac MR and CT imaging in children with suspected or confirmed pulmonary hypertension/pulmonary hypertensive vascular disease. Expert consensus statement on the diagnosis and treatment of paediatric pulmonary hypertension. The European Paediatric Pulmonary Vascular Disease Network, endorsed by ISHLT and DGPK. Heart. 2016;102 Suppl 2:ii30-ii35.
- Lau J, Kent D, Tatsioni A, et al. Vulnerable plaques. A brief review of the concept and proposed approaches to diagnosis and treatment. Prepared by theTufts-New England Medical Center AHRQ Evidence-based Practice Center. Contract No. 290-02-0022, Task Order #1. Rockville, MD: Agency for Healthcare Research and Quality (AHRQ); January 22, 2004.
- Lehrman ED, Plotnik AN, Hope T, Saloner D. Ferumoxytol-enhanced MRI in the peripheral vasculature. Clin Radiol. 2019;74(1):37-50.
- Leiner T, Bogaert J, Friedrich MG, et al. SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2020;22(1):76.
- Lerakis S, McLean DS, Anadiotis AV, et al. Prognostic value of adenosine stress cardiovascular magnetic resonance in patients with low-risk chest pain. J Cardiovasc Magn Reson. 2009;11(1):37.
- Lima JA, Desai MY. Cardiovascular magnetic resonance imaging: Current and emerging applications. J Am Coll Cardiol. 2004;44(6):1164-1171.
- Link KM, Martin EM, Loehr SP. Cardica MRI. In: Textbook of Diagnostic Imaging. 2nd ed. CE Putnam, CE Ravin eds. Philadelphia, PA: WB Saunders Company; 1994;2:1728-1738.
- Lockie T, Nagel E, Redwood S, Plein S. Use of cardiovascular magnetic resonance imaging in acute coronary syndromes. Circulation. 2009;119(12):1671-1681.
- Maron MS. Clinical utility of cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J Cardiovasc Magn Reson. 2012;14:13.
- Mayala HA, Bakari KH, Wang Z. The role of cardiac magnetic resonance (CMR) in the diagnosis of cardiomyopathy: A systematic review. Malawi Med J. 2019;31(3):241-245.
- Mckenna MJ. Cardiac sarcoidosis. UpToDate [online serial]. Waltham, MA: UpToDate; reviewed April 2013.
- Messroghli DR, Moon JC, Ferreira VM, et al. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson. 2017;19(1):75.
- Morey SS. American Heart Association issues guidelines on imaging in transient ischemic attacks and stroke. Am Fam Physician. 1998;57(7):1682, 1685-1686.
- Murphy G, Argaez C. Cardiac Magnetic Resonance Imaging (MRI) for patients with coronary artery disease: A review of diagnostic accuracy. Ottawa, ON: Canadian Agency for Drugs and Technologies in Health (CADTH); 2009.
- Myerson SG, d'Arcy J, Mohiaddin R, et al. Aortic regurgitation quantification using cardiovascular magnetic resonance: Association with clinical outcome. Circulation. 2012;126(12):1452-1460.
- Nagel E, Bornstedt A, Hug J, et al. Noninvasive determination of coronary blood flow velocity with magnetic resonance imaging: Comparison of breath-hold and navigator techniques with intravascular ultrasound. Magn Reson Med. 1999;41(3):544-549.
- Nagel E, Fleck E. Functional MRI in ischemic heart disease based on detection of contraction abnormalities. J Magn Reson Imaging. 1999;10(3):411-417.
- Nagel E, Lehmkuhl HB, Bocksch W, et al. Noninvasive diagnosis of ischemia-induced wall motion abnormalities with the use of high-dose dobutamine stress MRI: Comparison with dobutamine stress echocardiography. Circulation. 1999;99(6):763-770.
- National Institutes of Health (NIH). Magnetic resonance imaging. NIH Consens Statement 1987 Oct 26-28;6(14):1-31.
- Nguyen KL, Ghosh RM, Griffin LM, et al. Four-dimensional multiphase steady-state MRI with ferumoxytol enhancement: Early multicenter feasibility in pediatric congenital heart disease. Radiology. 2021;300(1):162-173.
- Nguyen KL, Yoshida T, Kathuria-Prakash N, et al. Multicenter safety and practice for off-label diagnostic use of ferumoxytol in MRI. Radiology. 2019;293(3):554-564.
- Ni J-R, Hu Y, Shao L-P, et al. The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol. Medicine (Baltimore). 2020;99(2):e18717.
- Nordbeck P, Ertl G, Ritter O. Magnetic resonance imaging safety in pacemaker and implantable cardioverter defibrillator patients: How far have we come? Eur Heart J. 2015;36(24):1505-1511.
- Ontario Ministry of Health and Long-Term Care, Medical Advisory Secretariat. Functional cardiac magnetic resonance imaging in the assessment of myocardial viability and perfusion. Health Technology Scientific Literature Review. Toronto, ON: Ontario Ministry of Health and Long-Term Care; November 2003.
- Otto CM. Clinical manifestations and diagnosis of rheumatic mitral stenosis. UpToDate [online serial]. Waltham, MA: UpToDate; reviewed March 2021.
- Papanastasiou G, Williams MC, Dweck MR, et al. Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: Comparison of Fermi and distributed parameter modeling against invasive methods. J Cardiovasc Magn Reson. 2016;18(1):57.
- Pohost GM, Ratner AV. Nuclear magnetic resonance - Potential applications in clinical cardiology. JAMA. 1984;251(10):1304-1309.
- Pontone G, Di Bella G, Silvia C, et al. Clinical recommendations of cardiac magnetic resonance, Part II: Inflammatory and congenital heart disease, cardiomyopathies and cardiac tumors: A position paper of the working group 'Applicazioni della Risonanza Magnetica' of the Italian Society of Cardiology. J Cardiovasc Med (Hagerstown). 2017;18(4):209-222.
- Qian C, Xihong G, Jing Y, et al. The assessment of right ventricular function in patients with pulmonary arterial hypertension with cardiac magnetic resonance imaging: A meta-analysis. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2015;27(12):998-1001.
- Qian D, Bottomley PA. High-resolution intravascular magnetic resonance quantification of atherosclerotic plaque at 3T. J Cardiovasc Magn Reson. 2012;14:20.
- Ramaswamy P. Ventricular septal defects. New York, NY: MedScape, LLC.; April 17, 2013. Available at:http://emedicine.medscape.com/article/892980-overview.
- Ray T, Biederman RW, Doyle M, Mankad S. Magnetic resonance imaging in the assessment of coronary artery disease. Curr Atheroscler Rep. 2005;7(2):108-114.
- Renella P, Li J, Prosper AE, et al. Ferumoxytol-enhanced cardiac magnetic resonance angiography and 4D flow: Safety and utility in pediatric and adult congenital heart disease. Children (Basel). 2022;9(12):1810.
- Ribeiro HB, Orwat S, Hayek SS, et al. Cardiovascular magnetic resonance to evaluate aortic regurgitation after transcatheter aortic valve replacement. J Am Coll Cardiol. 2016;68(6):577-585.
- Saam T, Hetterich H, Hoffmann V, et al. Meta-analysis and systematic review of the predictive value of carotid plaque hemorrhage on cerebrovascular events by magnetic resonance imaging. J Am Coll Cardiol. 2013;62(12):1081-1091.
- Sakuma H, Ishida M. Advances in myocardial perfusion MR imaging: Physiological implications, the importance of quantitative analysis, and impact on patient care in coronary artery disease. Magn Reson Med Sci. 2022;21(1):195-211.
- Schaar JA, Mastik F, Regar E, et al. Current diagnostic modalities for vulnerable plaque detection. Curr Pharm Des. 2007;13(10):995-1001.
- Scharinger B, Boxhammer E, Rezar R, et al. Cardiac MRI after sudden cardiac arrest: A systematic review. Radiol Cardiothorac Imaging. 2024;6(2):e230216.
- Schuetz GM, Zacharopoulou NM, Schlattmann P, Dewey M. Meta-analysis: Noninvasive coronary angiography using computed tomography versus magnetic resonance imaging. Ann Intern Med. 2010;152(3):167-177.
- Scott PA, Rosengarten JA, Curzen NP, Morgan JM. Late gadolinium enhancement cardiac magnetic resonance imaging for the prediction of ventricular tachyarrhythmic events: A meta-analysis. Eur J Heart Fail. 2013;15(9):1019-1027.
- Shan K, Constantine G, Sivananthan M, Flamm SD. Role of cardiac magnetic resonance imaging in the assessment of myocardial viability. Circulation. 2004;109(11):1328-1334.
- Sharples L, Hughes V, Crean A, et al. Cost-effectiveness of functional cardiac testing in the diagnosis and management of coronary artery disease: A randomised controlled trial. The CECaT trial. Health Technol Assess. 2007;11(49):1-136.
- Snorek M, Bulava A. MRI compatible cardiac pacemakers and implantable cardioverter defibrillators. Vnitr Lek. 2014;60(2):123-127.
- Soto DM. Current guidelines for MRI safety in patients with cardiovascular implantable electronic devices. Nursing. 2020;50(2):24-29.
- Steiner RE. Present and future clinical position of magnetic resonance imaging. Magn Reson Med. 1986;3(4)::473-490.
- Sudarski S, Henzler T, Haubenreisser H, et al. Free-breathing sparse sampling cine MR imaging with Iterative reconstruction for the assessment of left ventricular function and mass at 3.0 T. Radiology. 2017;282:74-83.
- Tamene AM, Masri C, Konety SH. Cardiovascular MR imaging in cardio-oncology. Magn Reson Imaging Clin N Am. 2015;23(1):105-116.
- Tapson VF, Carroll BA, Davidson BL, et al. The diagnostic approach to acute venous thromboembolism. Clinical practice guideline. American Thoracic Society. Am J Respir Crit Care Med. 1999;160(3):1043-1066.
- Urbanowicz T, Kociemba A, Pyda M, et al. Cardiovascular magnetic resonance imaging in asymptomatic acute heart rejection: A case report. Ann Transplant. 2014;19:447-451.
- Usman AA, Taimen K, Wasielewski M, et al. Cardiac magnetic resonance T2 mapping in the monitoring and follow-up of acute cardiac transplant rejection: A pilot study. Circ Cardiovasc Imaging. 2012;5(6):782-790.
- van Dijk R, van Assen M, Vliegenthart R, et al. Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: A meta-analysis. J Cardiovasc Magn Reson. 2017;19(1):92.
- van Voorthuisen AE. Evaluation of MRI today. Diagn Imaging Clin Med. 1986;55(1-2):5-8.
- Virani SA, Dent S, Brezden-Masley C, et al. Canadian Cardiovascular Society guidelines for evaluation and management of cardiovascular complications of cancer therapy. Can J Cardiol. 2016;32(7):831-841.
- Wong S, Spina R, Toemoe S, Dhital K. Is cardiac magnetic resonance imaging as accurate as echocardiography in the assessment of aortic valve stenosis? Interact Cardiovasc Thorac Surg. 2016;22(4):480-486.
- Yao Y, Bian W, Zhang H, et al. Quantitative cardiac MRI parameters for assessment of myocarditis in children and adolescents: A systematic review and meta-analysis. Clin Radiol. 2023;78(9):703-714.
- Yoshida T, Chen JJ, Zhou B, et al. Ferumoxytol-enhanced 4D multiphase, steady-state imaging with magnetic resonance in congenital heart disease: Ventricular volume and function across 2D and 3D software platforms. Quant Imaging Med Surg. 2022;12(9):4377-4389.
- Zerhouni EA. Magnetic Resonance Imaging of Acquired Heart Disease. In: Computed Tomography and Magnetic Resonance Imaging of the Whole Body. JR Haaga, DJ Sartoris, DF Lanzieri, et al, eds. St. Louis, MO: Mosby; 1994;1:788-818.