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Abstract #5248

Predictive Value of Hemodynamic Forces Derived from Cardiac Magnetic Resonance in Adverse Ventricular Remodeling

Xiuzheng Yue1,2, Jing Qi1, Miao Hu1, Jianan Li1, Tao Li3, and Kunlun He1
1Medical Innovation Research Department, Chinese PLA General Hospital, Beijing, China, 2Philips Healthcare, Beijing, China, 3Department of Radiology, the First Medical Center, Chinese PLA General Hospital, Beijing, China

Synopsis

Keywords: Myocardium, Cardiomyopathy

Motivation: Early identification of adverse ventricular remodeling post-MI is crucial for improving patient outcomes.

Goal(s): To assess the predictive value of HDF metrics derived from CMR for ventricular remodeling.

Approach: Forty-five patients were analyzed, with HDF metrics and strain parameters computed from CMR cine imaging and compared between groups with and without adverse remodeling.

Results: Significant HDF metrics, particularly systolic and atrial thrust in L-S and A-B directions, showed high predictive potential (AUC up to 0.99), suggesting their utility for non-invasive, early identification of patients at risk for adverse ventricular remodeling.

Impact: HDF metrics from CMR cine imaging provide a novel, non-invasive approach for predicting adverse ventricular remodeling, with high predictive accuracy, supporting personalized patient management and early intervention strategies.

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Keywords