ArticleBiomechanics and modeling in mechanobiology2024
Personalized computational electro-mechanics simulations to optimize cardiac resynchronization therapy.
Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Dyssynchrony-Induced Cardiomyopathy in Children: Mechanisms, Diagnosis, and Contemporary Management.Pediatric cardiology · 2026Review
- Prediction of arrhythmogenesis in non-ischemic cardiac resynchronization therapy patients.APL bioengineering · 2026Article
- Computational Modelling of Selective Capture Mechanisms in Conduction System Pacing.Annals of biomedical engineering · 2026Article
- Mechanical Modeling of Cardiac Fibrosis With Explicit Spatial Representation of Cellular Structure and Collagen Alignment.Journal of biomechanical engineering · 2026Article
- Learning cardiac activation and repolarization times with operator learning.PLoS computational biology · 2026Article
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Authors and funding
10 authors.
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Abstract
In this study, we present a computational framework designed to evaluate virtual scenarios of cardiac resynchronization therapy (CRT) and compare their effectiveness based on relevant clinical biomarkers. Our approach involves electro-mechanical numerical simulations personalized, for patients with left bundle branch block, by means of a calibration obtained using data from Electro-Anatomical Mapping System (EAMS) measures acquired by cardiologists during the CRT procedure, as well as ventricular pressures and volumes, both obtained pre-implantation. We validate the calibration by using EAMS data coming from right pacing conditions. Three patients with fibrosis and three without are considered to explore various conditions. Our virtual scenarios consist of personalized numerical experiments, incorporating different positions of the left electrode along reconstructed epicardial veins; different locations of the right electrode; different ventriculo-ventricular delays. The aim is to offer a comprehensive tool capable of optimizing CRT efficiency for individual patients. We provide preliminary answers on optimal electrode placement and delay, by computing some relevant biomarkers such as
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