Ontology highlight
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