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Dataset Information

Validation of a novel semi-automated ECG quantification tool, applied to a cardio-oncology : Semi-automated ECG Tool applied to cardio-oncology.


ABSTRACT:

Background

Electrocardiogram (ECG) analysis is crucial to detect cardiotoxicity. Manual methods are time-consuming and limited by inter-reader variability, highlighting the need for precise, reproducible and rapid semi-automated digital tools in clinical practice.

Objective

This study evaluates the triplicate concatenation method (TCM) using a semi-automated ECG software (CalECG-4.2, AMPS®) by assessing intra- and inter-reader variabilities in two distinct cardio-oncology populations: breast cancer patients receiving ribociclib (a QT-prolonging drug) and patients admitted with severe immune checkpoint inhibitors (ICI)-myocarditis, a condition marked by QRS alterations.

Methods

A total of 420 ECG from 31 patients (21 ribociclib, and 10 ICI-myocarditis) were independent

SUBMITTER: Cohen SD 

PROVIDER: S-EPMC12717738 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature