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Updated: Apr 29, 2026
Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
Published on: October 28, 2020
Image-based left ventricular shape analysis for sudden cardiac death risk stratification
Fijoy Vadakkumpadan1, Natalia Trayanova1, Katherine C Wu2
1Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland.
Insights
Quantifiable differences in left ventricular (LV) shape, including wall thickness, can help predict sudden cardiac death (SCD) risk in patients with ischemic cardiomyopathy and low ejection fraction (LVEF). These LV remodeling indices offer improved personalized risk assessment beyond LVEF alone.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Imaging
Background:
- Low left ventricular ejection fraction (LVEF) is a primary but imperfect clinical marker for sudden cardiac death (SCD) risk stratification.
- Existing methods for SCD risk assessment lack sufficient sensitivity and specificity.
Purpose of the Study:
- To identify specific left ventricular (LV) shape indices that differentiate between high and low SCD risk patients.
- To explore novel computational methods for analyzing LV shape in ischemic cardiomyopathy.
Main Methods:
- A novel computational framework was developed using cardiac magnetic resonance imaging (CMR) and computational anatomy.
- The framework analyzed 3D LV endocardial surface curvedness, wall thickness, and relative wall thickness.
- Data from 61 patients with ischemic cardiomyopathy and reduced LVEF were analyzed, categorized by clinical outcomes (no events, arrhythmic events, heart failure events).
Main Results:
- Global LV volumes and mass were comparable across patient groups.
- Patients with adverse outcomes (arrhythmic or heart failure events) exhibited significantly lower mean shape metrics in all coronary artery regions compared to those with no events.
- These differences indicate regional LV wall thinning and stretching/flattening, signifying adverse LV remodeling.
Conclusions:
- Quantifiable differences in 3D LV endocardial shape, wall thickness, and relative wall thickness exist between patients with and without adverse outcomes.
- These regional LV remodeling indices show potential for enhancing personalized risk assessment for SCD in patients with ischemic cardiomyopathy and low LVEF.
- This study serves as a proof of concept for utilizing advanced shape analysis in clinical risk stratification.
Background:
Low left ventricular ejection fraction (LVEF), the main criterion used in the current clinical practice to stratify sudden cardiac death (SCD) risk, has low sensitivity and specificity.
Objective:
To uncover indices of left ventricular (LV) shape that differ between patients with a high risk of SCD and those with a low risk.
Methods:
By using clinical cardiac magnetic resonance imaging and computational anatomy tools, a novel computational framework to compare 3-dimensional LV endocardial surface curvedness, wall thickness, and relative wall thickness between patient groups was implemented. The framework was applied to cardiac magnetic resonance data of 61 patients with ischemic cardiomyopathy who were selected for prophylactic implantable cardioverter-defibrillator treatment on the basis of reduced LVEF. The patients were classified by outcome: group 0 had no events; group 1, arrhythmic events; and group 2, heart failure events. Segmental differences in LV shape were assessed.
Results:
Global LV volumes and mass were similar among groups. Compared with patients with no events, patients in groups 1 and 2 had lower mean shape metrics in all coronary artery regions, with statistical significance in 9 comparisons, reflecting wall thinning and stretching/flattening.
Conclusion:
In patients with ischemic cardiomyopathy and low LVEF, there exist quantifiable differences in 3-dimensional endocardial surface curvedness, LV wall thickness, and LV relative wall thickness between those with no clinical events and those with arrhythmic or heart failure outcomes, reflecting adverse LV remodeling. This retrospective study is a proof of concept to demonstrate that regional LV remodeling indices have the potential to improve the personalized risk assessment for SCD.
