Vectorcardiography using an AI algorithm detected impaired systolic function with an AUC of 0.843 and left ventricular hypertrophy with AUCs ranging from 0.739 to 0.791 compared to CMR.
Cross-Sectional
No
Does AI-processed vectorcardiography accurately identify impaired systolic function and left ventricular hypertrophy compared to cardiac magnetic resonance imaging?
Patients evaluated for impaired systolic function and left ventricular hypertrophy, and controls with structurally normal hearts.
Vectorcardiography (VCG) using a five-lead system (cardisiography) processed by an AI algorithm extracting 583 parameters
Cardiac magnetic resonance imaging (CMR) as the reference standard
Diagnostic performance (AUC, sensitivity, specificity, accuracy) for identifying impaired systolic function and left ventricular hypertrophysurrogate
AI-processed vectorcardiography demonstrates good diagnostic accuracy for detecting left ventricular hypertrophy and impaired systolic function compared to cardiac MRI, offering a potentially scalable screening tool.
BACKGROUND: Timely diagnosis of impaired systolic function and left ventricular hypertrophy (LVH) remains a clinical challenge. Routine electrocardiography provides limited diagnostic accuracy for detecting early or subtle structural abnormalities. Vectorcardiography (VCG), which captures the spatial and temporal characteristics of cardiac electrical activation and repolarization, may offer a rapid, scalable, and cost-effective alternative for screening structural heart disease. OBJECTIVE: To evaluate the diagnostic performance of VCG for identifying impaired systolic function and left ventricular hypertrophy compared with cardiac magnetic resonance imaging. METHODS: ), or controls with structurally normal hearts. VCG was obtained using a five‑lead system (cardisiography), and signals were processed by an AI algorithm extracting 583 parameters. Diagnostic performance was evaluated using CMR as reference. RESULTS: The repolarization time-difference ratio (Rpeak-Tonset / QRSend-Tpeak) showed the best diagnostic performance for impaired systolic function, with an area under the curve (AUC) of 0.843, sensitivity of 80.0%, and specificity of 83.9%. In LVH patients, three parameters-T-wave azimuth, T-wave magnitude, and azimuth variability-showed AUCs ranging from 0.739 to 0.791. Overall diagnostic accuracy was 81.7% for impaired systolic function and 78.2% for LVH, and 83.1% for the combined phenotype of reduced LVEF and LVH. CONCLUSION: VCG reliably detects left ventricular systolic dysfunction and hypertrophy. This approach offers a scalable and interpretable screening tool, especially valuable in settings with limited access to advanced cardiac imaging. Future multicenter studies are needed to validate these findings and support clinical implementation.
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Janek Salatzki
Arne Kristian Schwarz
Sarah Wolfsteller
Journal of Electrocardiology
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Salatzki et al. (Sat,) conducted a cross-sectional in Impaired systolic function and left ventricular hypertrophy. Vectorcardiography (VCG) with AI algorithm vs. Cardiac magnetic resonance imaging (CMR) was evaluated on Diagnostic performance for identifying impaired systolic function (AUC 0.843). Vectorcardiography using an AI algorithm detected impaired systolic function with an AUC of 0.843 and left ventricular hypertrophy with AUCs ranging from 0.739 to 0.791 compared to CMR.
www.synapsesocial.com/papers/6a025f06c9581ed855361b95 — DOI: https://doi.org/10.1016/j.jelectrocard.2026.154272