Personalized Computational Electro-mechanics Simulations to Optimize Cardiac Resynchronization Therapy

Keywords

Advanced Numerical Methods for Scientific Computing
Computational Medicine for the Cardiocirculatory System
Code:
10/2024
Title:
Personalized Computational Electro-mechanics Simulations to Optimize Cardiac Resynchronization Therapy
Date:
Thursday 25th January 2024
Author(s):
Capuano E.; Regazzoni F.; Maines M.; Fornara S.; Locatelli V.; Catanzariti D.; Stella S.; Nobile F.; Del Greco M.; Vergara C.
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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 calibrated, for patients with left bundle branch block, using data from Electro-Anatomical Mapping System (EAMS) measures, 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, by providing preliminary answers on optimal electrode placement and delay.
This report, or a modified version of it, has been also submitted to, or published on
Journal of the Royal Society Interface