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Updated: Apr 25, 2026

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
Published on: June 11, 2019
Value of CMR for the differential diagnosis of cardiac masses
Pablo Pazos-López1, Eduardo Pozo2, Maria E Siqueira2
1The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai Hospital, New York, New York; Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Insights
Cardiac MRI effectively differentiates tumors from thrombi and aids in distinguishing benign from malignant neoplasms. This study highlights key imaging features for accurate cardiac mass diagnosis.
Area of Science:
- Cardiovascular Imaging
- Medical Diagnostics
- Oncology
Background:
- Distinguishing cardiac tumors from thrombi is clinically crucial yet challenging.
- Differentiating benign from malignant cardiac neoplasms requires accurate diagnostic tools.
- Limited studies have assessed the diagnostic value of cardiac magnetic resonance (CMR) for cardiac masses.
Purpose of the Study:
- To evaluate the diagnostic performance of cardiac magnetic resonance (CMR) features in differentiating cardiac masses.
- To assess CMR's ability to distinguish between cardiac tumors and thrombi.
- To determine CMR's utility in differentiating benign from malignant cardiac neoplasms.
Main Methods:
- Retrospective review of CMR scans from 116 patients with cardiac thrombi or tumors.
- Analysis of mass characteristics using cine, T1-weighted turbo spin echo (T1w-TSE), T2-weighted turbo spin echo (T2w-TSE), contrast first-pass perfusion (FPP), TI scout, and late gadolinium enhancement (LGE) sequences.
- Morphological and enhancement pattern analysis for differential diagnosis.
Main Results:
- CMR accurately differentiated thrombi (n=84) from tumors (n=42; 17 benign, 25 malignant) with 95% accuracy using specific T1/T2 signal patterns.
- Tumors showed significantly more hyperintensity on T2w-TSE, FPP, and LGE compared to thrombi.
- Malignant tumors were larger and more frequently showed FPP and LGE than benign tumors, with LGE achieving 79% accuracy for malignancy.
Conclusions:
- Cardiac magnetic resonance (CMR) imaging features provide excellent accuracy in differentiating cardiac thrombi from tumors.
- CMR can assist in distinguishing between benign and malignant cardiac neoplasms.
- Specific CMR sequences and enhancement patterns are valuable for diagnosing cardiac masses.
Objectives:
The goal of this study was to evaluate the diagnostic value of CMR features for the differential diagnosis of cardiac masses.
Background:
Differentiation of cardiac tumors and thrombi and differentiation of benign from malignant cardiac neoplasms is often challenging but important in clinical practice. Studies assessing the value of cardiac magnetic resonance (CMR) in this regard are scarce.
Methods:
We reviewed the CMR scans of patients with a definite cardiac thrombus or tumor. Mass characteristics on cine, T1-weighted turbo spin echo (T1w-TSE) and T2-weighted turbo spin echo (T2w-TSE), contrast first-pass perfusion (FPP), post-contrast inversion time (TI) scout, and late gadolinium enhancement (LGE) sequences were analyzed.
Results:
There were 84 thrombi, 17 benign tumors, and 25 malignant tumors in 116 patients. Morphologically, thrombi were smaller (median area 1.6 vs. 8.5 cm(2); p < 0.0001), more homogeneous (99% vs. 46%; p < 0.0001), and less mobile (13% vs. 33%; p = 0.007) than tumors. Hyperintensity compared with normal myocardium on T2w-TSE, FPP, and LGE were more common in tumors than in thrombi (85% vs. 42%, 70% vs. 4%, and 71% vs. 5%, respectively; all p < 0.0001). A pattern of hyperintensity/isointensity (compared with normal myocardium) with short TI and hypointensity with long TI was very frequent in thrombi (94%), rare in tumors (2%), and had the highest accuracy (95%) for the differentiation of both entities. Regarding the characterization of neoplastic masses, malignant tumors were larger (median area 11.9 vs. 6.3 cm(2); p = 0.006) and more frequently exhibited FPP (84% vs. 47%; p = 0.03) and LGE (92% vs. 41%; p = 0.001). The ability of CMR features to distinguish benign from malignant neoplasms was moderate, with LGE showing the highest accuracy (79%).
Conclusions:
CMR features demonstrated excellent accuracy for the differentiation of cardiac thrombi from tumors and can be helpful for the distinction of benign versus malignant neoplasms.
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