Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 3, 2026Chaos An Interdisciplinary Journal of Nonlinear Science

Subject-specific 3D MRI heart models better match experimental VT outcomes than average-value models.

View Full Paper
Ask AI
Bookmark
Share

Why the study?

Computational efficiency of multi-scale digital twins for cardiac arrhythmia is hindered by equation complexity, and prediction accuracy relies on parameter calibration and intricate non-linear relations.

Population

n = 8 swine with chronic infarction

Comparison

Subject-specific personalized parameters vs average parameter values from all cases

Design

Preclinical in silico validation study

Key result

Subject-specific personalization of 3D MRI-based heart models demonstrated very good agreement between experimental and simulated VT outcomes compared to models tuned from average values.

Authors

JPJairo Rodríguez PadillaNCNicolas CedilnikBLBuntheng Ly

Discussion

Loading...

Member takes

Overview

May advance VT prediction in infarct models; extends preclinical digital twins but leaves human translation open.

Key Points

  • To develop and validate a computationally efficient GPU-accelerated pipeline for 3D cardiac digital twins that accurately predicts infarct-related ventricular tachycardia.
  • Constructed 3D digital twins from MRI scans of swine with chronic myocardial infarction (n = 8).
  • Calibrated tissue-specific electrophysiological parameters (action potential duration, excitability, wave speed) for scar, border zone, and healthy tissue using endocardial bipolar voltage maps and electrograms.
  • Simulated electrical wave propagation using a GPU-accelerated Lattice-Boltzmann Method to reproduce animal pacing protocols and evaluate 10,000 virtual endocardial stimulation sites per model.
  • Subject-specific model parameterization yielded very good agreement with experimental ventricular tachycardia induction, whereas models parameterized with cohort-averaged values performed poorly.
  • In silico pacing across 10,000 virtual endocardial locations demonstrated a strong site-dependent variation in ventricular tachycardia inducibility.
  • Simulating 10 seconds of sustained ventricular tachycardia on a 1.2-million-voxel 3D mesh required 30 minutes on a standard laptop GPU.

Structured PICO

P
Population
8 swine with chronic infarction used to build 3D digital twins for simulating ventricular tachycardia.
I
Intervention
Subject-specific personalization of 3D MRI-based heart models using an efficient Lattice-Boltzmann Method with GPU-based accelerated code
C
Comparator
Models tuned from average values from all cases
O
Outcome
Agreement between experimental and simulated VT outcome (inducibility)surrogate

A computationally efficient, subject-specific 3D MRI-based digital twin pipeline accurately predicts infarct-related VT inducibility, highlighting its potential for clinical translation in VT risk assessment.

Cite This Study

Padilla et al. (2026) studied Chronic infarction and scar-related ventricular tachycardia (n=8). Subject-specific personalization of 3D MRI-based heart models vs. Models tuned from average values from all cases was evaluated on Ventricular tachycardia (VT) simulation outcome agreement with experiment. Subject-specific personalization of 3D MRI-based heart models demonstrated very good agreement between experimental and simulated VT outcomes compared to models tuned from average values.

synapsesocial.com/papers/6a993635636c6408cfa7f29fhttps://doi.org/10.1063/5.0336480
View Full Paper
Ask AI
Bookmark
Share