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Related Experiment Video

Updated: Jun 15, 2025

In Silico Clinical Trials for Cardiovascular Disease
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In Silico Clinical Trials for Cardiovascular Disease

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Personalized computational electro-mechanics simulations to optimize cardiac resynchronization therapy.

Emilia Capuano1, Francesco Regazzoni1, Massimiliano Maines2

  • 1MOX, Dipartimento di Mathematica, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 201333, Milan, Italy.

Biomechanics and Modeling in Mechanobiology
|August 27, 2024
PubMed
Summary

This study introduces a computational framework for optimizing cardiac resynchronization therapy (CRT) using personalized simulations. Findings suggest optimal electrode placement and delays can improve CRT effectiveness, particularly in non-fibrotic cases.

Keywords:
Cardiac resynchronization therapyElectro-anatomical mappingElectro-mechanics simulationsEpicardial veins

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Area of Science:

  • Computational modeling
  • Biomedical engineering
  • Cardiology

Background:

  • Cardiac resynchronization therapy (CRT) is crucial for heart failure patients with left bundle branch block.
  • Optimizing CRT requires personalized approaches to account for individual patient anatomy and electrophysiology.
  • Current methods for optimizing CRT can be limited in providing real-time, personalized guidance.

Purpose of the Study:

  • To develop and validate a computational framework for evaluating virtual CRT scenarios.
  • To compare the effectiveness of different CRT configurations using patient-specific electro-mechanical simulations.
  • To identify optimal electrode placements and pacing delays for improved CRT outcomes.

Main Methods:

  • Personalized electro-mechanical numerical simulations for patients with left bundle branch block.
  • Calibration using Electro-Anatomical Mapping System (EAMS) data, ventricular pressures, and volumes.
  • Validation of calibration with EAMS data from right pacing conditions.
  • Exploration of scenarios with and without cardiac fibrosis, varying electrode positions and ventriculo-ventricular delays.

Main Results:

  • The latest activated segment during sinus rhythm is identified as an effective left electrode placement for non-fibrotic cases.
  • Pacing the right electrode before the left electrode appears to enhance CRT performance in non-fibrotic patients.
  • Positioning the right electrode midway between the base and apex may improve CRT performance.

Conclusions:

  • The developed computational framework offers a tool for optimizing individual CRT strategies.
  • Preliminary findings provide insights into optimal electrode placement and pacing delays for enhanced CRT efficiency.
  • This approach, incorporating epicardial veins and electrode movement, advances computational tools for clinical CRT guidance.