Electrocardiographic imaging-based recognition of possible induced bundle branch blocks during transcatheter aortic

Peter M van Dam1, Klaudia Proniewska, Anne-Marie Maugenest

  • 1Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Geert Groote plein21, 6525 EZ Nijmegen, The Netherlands.

Insights

A new tool, the cardiac isochrone positioning system (CIPS), shows promise in diagnosing left bundle branch block (LBBB) after transcatheter aortic valve implantation (TAVI). This imaging system visualizes cardiac activation, aiding in the interpretation of complex ECG findings in patients with left ventricular hypertrophy.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Electrophysiology

Background:

  • Diagnosing left bundle branch block (LBBB) in patients with left ventricular hypertrophy (LVH) using conventional electrocardiograms (ECG) is challenging.
  • Left ventricular hypertrophy is common in severe aortic stenosis, where transcatheter aortic valve implantation (TAVI) can induce LBBB.

Purpose of the Study:

  • To evaluate the sensitivity of a novel electrocardiographic imaging tool, the Cardiac Isochrone Positioning System (CIPS).
  • To visualize cardiac activation patterns for detecting interventricular conduction abnormalities pre- and post-TAVI.

Main Methods:

  • The CIPS translates standard 12-lead ECGs into ventricular isochrones representing cardiac activation sequence.
  • A patient-specific thoracic model derived from CT scans was integrated with a fastest route-based algorithm to estimate activation isochrones.
  • CIPS results were compared against standard ECG analysis in 10 patients (20 ECGs: 10 pre-TAVI, 10 post-TAVI).

Main Results:

  • The CIPS showed agreement with ECG-based diagnosis in 11 out of 20 cases.
  • Partial agreement was observed in 2 cases, and disagreement in 7 cases.
  • Clinical history supported CIPS interpretation in 4 of the 7 disagreement cases.

Conclusions:

  • This feasibility study suggests CIPS is a promising tool for classifying conduction disorders, particularly those affecting the left ventricle or septum.
  • Visualization of activation isochrones and model-derived features may enhance TAVI procedures and post-procedural therapy selection.
Abstract

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