Machine learning algorithms for predicting arrhythmic events in Hypertrophic Cardiomyopathy: limited enhancement beyond late gadolinium enhancement.

Joana Certo Pereira Rita Amador A. Vieira Rita Almeida Carvalho B. Castilho Edmundo Arteaga C. Rochitte B. Rocha Pedro M Lopes J. Abecasis Pedro Freitas Pedro Adragão A. M. Ferreira

Jul 2026 · The International Journal of Cardiovascular Imaging · 1 citation · 40 references

Medicine

TL;DR

A ML model using available clinical variables significantly outperformed the ESC HCM risk score in predicting arrhythmic events in HCM and its incremental value over LGE alone was weak, underscoring the strong predictive value of this imaging marker.

DOI PubMed Semantic Scholar

View source

Similar papers

Open access Sep 2026

Prognostic significance of artificial intelligence-quantified late gadolinium enhancement on cardiac magnetic resonance in hypertrophic cardiomyopathy

Artificial intelligence-based quantitative assessment of LGE is an independent predictor of adverse cardiovascular outcomes in patients with HCM and may represent a clinically meaningful imaging biomarker for risk stratification.

Youngsang Jeong, Jong-Il Park, Kang-Un Choi et al. · The Korean Journal of Intern... · 0 citations

Open access Aug 2026

Enhancing risk prediction for sudden cardiac death: quantitative late gadolinium enhancement analysis in hypertrophic cardiomyopathy

Both single- and dual-threshold LGE quantification independently predict SCD in patients with HCM, while dual-threshold gray zone metrics demonstrate stronger prognostic associations, underscore the importance of standardizing LGE quantification to improve SCD risk stratification in patients with HCM.

Li-Li Wang, Hongbo Zhang, Guan-Yu Lu et al. · Insights into Imaging · 0 citations

Open access Aug 2026

Prognostic Value of Native T1 Mapping in Nonischemic Dilated Cardiomyopathy: A Prospective Observational Study from India

Native septal T1 mapping provides independent prognostic information in NIDCM patients beyond LGE, offering incremental value for risk-stratification and clinical decision-making.

Sneha Goswami, Vineeta Ojha, P. Jagia et al. · Indian Journal of Radiology... · 0 citations

Aug 2026

Left Atrial Reservoir Strain Improves Sudden Cardiac Death Risk Stratification in Hypertrophic Cardiomyopathy.

LARS was an independent predictor of SCD-related events and effectively stratified risk among patients classified as low-to-intermediate risk by the HCM Risk-SCD score and adding LARS to the HCM Risk-SCD score significantly improved risk discrimination in the low-to-intermediate risk population.

S. Kwak, Younghyun Kang, Ji-Hyun Kim et al. · Journal of the American Soci... · 0 citations

Aug 2026

Incremental prognostic value of late gadolinium enhancement in hypertrophic cardiomyopathy in a large contemporary cohort.

Compared with no LGE, LGE ≥10% was associated with higher risk of the composite endpoint, and higher %LGE ≥10% was associated with higher risk of the composite endpoint.

Susan K. Keen, Stuti Shah, Hesham Sheashaa et al. · Cardiovascular Research · 0 citations

Sep 2026

PVCuRe: a machine-learning based tool to predict left ventricular systolic function recovery in patients undergoing ablation for premature ventricular contraction.

This ML-based tool accurately estimates the probability of LVEF recovery after PVC ablation and may support clinical decision-making and patient counselling.

A. Saglietto, D. Penela, G. Falasconi et al. · Heart Rhythm · 0 citations