Automatic QRS Selvester scoring system in patients with left bundle branch block
Xiaojuan Xia1, Björn Wieslander2, David G Strauss3
1Heart Research Follow-Up Program, Cardiology Division, University of Rochester Medical Center, 265 Crittenden Boulevard, PO Box 653, Rochester, NY 14642, USA heartjxx@heart.rochester.edu.
Summary
We developed an automated method to measure the Selvester score using electrocardiograms (ECG) in patients with left bundle branch block (LBBB). This system accurately quantifies myocardial scar size, aiding clinical use.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- The Selvester QRS scoring system quantifies myocardial scar size using 12-lead ECG criteria.
- Clinical application is limited by the manual measurement of complex QRS patterns, especially in patients with left bundle branch block (LBBB).
Purpose of the Study:
- To develop and validate an automated algorithm for measuring the Selvester score in LBBB patients.
- To facilitate the clinical adoption of ECG-based myocardial scar assessment.
Main Methods:
- Developed automated algorithms for QRS parameter detection and measurement for the Selvester score.
- Trained and validated algorithms on 216 LBBB patients' ECGs from the MADIT-CRT study.
- Assessed performance against expert manual adjudication.
Main Results:
- The automated system achieved an average absolute difference of 1.2 ± 1.5 points compared to manual scoring.
- Wave location and interval duration differences were within 0-6 ms.
- Detection error rates for Q, R, S, R', and S' waves were low (≤16%).
Conclusions:
- An efficient computerized method for automatic Selvester score measurement in LBBB patients was developed.
- The automated system shows high accuracy and potential for clinical utility.
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