Key result
Echo-based deep radiomics model accurately predicts MACE in cohort with ~20% event rate.
Why the study?
Current tools for risk stratification in hypertrophic cardiomyopathy do not fully exploit quantitative myocardial texture from routine echocardiography.
Does a deep survival model integrating echocardiographic texture radiomics improve prediction of MACE in patients with hypertrophic cardiomyopathy?
Observational (n=413)
Yes
Does a deep survival model integrating echocardiographic texture radiomics improve prediction of MACE in patients with hypertrophic cardiomyopathy?
A deep survival model incorporating echocardiographic texture radiomics may provide an accessible approach to individualized MACE risk stratification in patients with hypertrophic cardiomyopathy.
Hypertrophic cardiomyopathy (HCM) carries substantial risk of major adverse cardiovascular events (MACE), yet current tools do not fully exploit quantitative myocardial texture from routine echocardiography. We retrospectively studied 413 patients with HCM from two tertiary centers to develop and externally validate a deep survival model integrating transthoracic echocardiographic texture radiomics with clinical and conventional echocardiographic variables. Patients from one center (n = 308) were used for development and internal testing and those from the other (n = 105) for external validation. The best-performing model was selected by cross-validated Harrell C-index and interpreted using Shapley additive explanations. During median follow-up of 30.7 and 35.6 months, 83 patients (20.1%) experienced a first MACE. The Combined model showed the highest concordance and net clinical benefit, with age, RadScore, left atrial diameter, and maximal wall thickness as leading contributors. This model may provide an accessible approach to individualised MACE risk stratification in HCM.
No takes yet. Share an insight, caveat, or question.
Liang et al. (2026) conducted an observational in Hypertrophic cardiomyopathy (n=413). Deep survival model integrating echocardiographic texture radiomics was evaluated on First major adverse cardiovascular event (MACE). A deep survival model integrating echocardiographic texture radiomics with clinical variables showed high concordance for predicting MACE, which occurred in 20.1% of patients.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: