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Updated: Jun 11, 2025

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
Published on: June 11, 2019
Prediction of left ventricular thrombus after myocardial infarction: a cardiac magnetic resonance-based prospective
Carlos Bertolin-Boronat1, Víctor Marcos-Garcés2, Hector Merenciano-González2
1Department of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain; INCLIVA Biomedical Research Institute, Valencia, Spain.
Insights
This study predicts left ventricular thrombus (LVTh) after ST-segment elevation myocardial infarction (STEMI) using readily available admission data. Clinical, echocardiographic, and ECG factors effectively identify high-risk patients for early detection and management.
Area of Science:
- Cardiology
- Medical Imaging
- Predictive Analytics
Background:
- Left ventricular thrombus (LVTh) is a serious complication following ST-segment elevation myocardial infarction (STEMI).
- Early identification of LVTh is crucial for preventing embolic events and improving patient outcomes.
Purpose of the Study:
- To develop a predictive model for LVTh occurrence post-STEMI.
- Utilize cardiac magnetic resonance (CMR) imaging alongside clinical, echocardiographic, and electrocardiographic (ECG) data available at admission.
Main Methods:
- Included 590 STEMI patients undergoing CMR (1-week and/or 6-month follow-up).
- Collected baseline clinical, echocardiographic (LVEF), and ECG (sum-STE, Q-STE) data.
- Employed multivariate logistic regression and ROC curve analysis for LVTh prediction.
Main Results:
- LVTh detected in 7.3% of patients.
- Predictors included chronic coronary syndrome (CCS), anterior STEMI, LVEF, maximum sum-STE, and Q-STE.
- A high-risk group (anterior STEMI, Q-STE, CCS, max sum-STE >10 mm, LVEF <50%) showed 19.6% LVTh risk within 6 months.
- The predictive model demonstrated excellent discrimination (AUC=0.85).
Conclusions:
- LVTh within 6 months post-STEMI is predictable using pre-discharge clinical, echocardiographic, and ECG data.
- The findings aid in selecting STEMI patients for CMR screening to detect LVTh.
- Simplified risk scores showed comparable predictive ability and external validation.
Background:
Left ventricular thrombus (LVTh) is a severe complication after ST-segment elevation myocardial infarction (STEMI).
Objectives:
We aim to predict LVTh occurrence by cardiac magnetic resonance (CMR) using clinical, echocardiographic, and electrocardiographic (ECG) variables readily available at admission.
Methods:
We included 590 reperfused STEMI patients who underwent early (1-week) and/or late (6-month) CMR in our institution. Baseline clinical, echocardiographic (left ventricular ejection fraction -LVEF-) and ECG data (summatory of ST-segment elevation -sum-STE- and Q-wave and residual ST-elevation >1 mm -Q-STE-) during admission were registered. Multivariate binary logistic regression models and receiver operating characteristic curves were computed for LVTh prediction.
Results:
LVTh was detected by CMR in 43 (7.3 %) patients and was predicted by previous chronic coronary syndrome (CCS, HR 4.74 [1.82-12.35], p = 0.001), anterior STEMI (HR 10.93 [2.47-48.31], p = 0.002), LVEF (HR 0.96 [0.93-0.99] per %, p = 0.008), maximum sum-STE (HR 1.04 [1.01-1.07] per mm, p = 0.04), and Q-STE (HR 1.31 [1.08-1.6] per lead, p = 0.008). High-risk patients with both major (anterior STEMI and Q-STE in ≥1 leads) and 1-3 minor (CCS, maximum sum-STE >10 mm, LVEF <50%) factors showed the highest LVTh risk (19.6 % within 6 months). The model showed excellent discrimination ability (area under the curve=0.85 [0.81-0.9], p < 0.001). Simplified 4-variable (excluding sum-STE) and 3-variable (also excluding CCS) risk scores showed similar discrimination ability and were externally validated.
Conclusions:
LVTh within 6 months post-STEMI can be predicted using pre-discharge clinical (anterior infarction and CCS), echocardiographic (LVEF), and ECG (sum-STE and Q-STE) data. Our results can help select patients who should undergo CMR after STEMI for LVTh detection.
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