Assessing the diagnostic accuracy of cardisiography in the diagnosis of coronary heart disease: CSG-DR study (A pilot study) - Report - MDSpire

Evaluating the Diagnostic Precision of Cardisiography for Coronary Artery Disease: Insights from the CSG-DR Pilot Study

  • By

  • Rafael A. Guillén-Marmolejos

  • Rodolfo A. Núñez-Musa

  • Alberto J. Núñez-Selles

  • Ana J. Santos-Rondón

  • Miguel Arias-Ceballos

  • the CSG Group

  • July 21, 2026

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Clinical Report: Evaluating the Diagnostic Precision of Cardisiography for CAD

Overview

The CSG-DR pilot study evaluated the diagnostic accuracy of Cardisiography (CSG) compared to resting ECG for detecting coronary artery disease (CAD). CSG demonstrated a sensitivity of 96.5%, significantly higher than the 6.9% sensitivity of ECG.

Background

Coronary artery disease (CAD) is a leading cause of mortality worldwide, with traditional diagnostic methods like resting ECG having limited sensitivity. In low- and middle-income countries, access to advanced diagnostic tools is often restricted.

Data Highlights

TestSensitivityCAD-RADS Classification
CSG96.5% (28/29)1-3
ECG6.9% (2/29)1-3

Key Findings

  • CSG achieved a sensitivity of 96.5% for detecting coronary lesions.
  • ECG sensitivity was only 6.9% in the same cohort.
  • CSG demonstrated 100% sensitivity for CAD-RADS 1 and 3, and 91% for CAD-RADS 2.
  • The study enrolled 104 patients aged 40 and above with suspected CAD.

Clinical Implications

The findings suggest that CSG could enhance the diagnostic process for CAD, particularly in settings with limited access to advanced imaging. Its high sensitivity may allow for more timely referrals and interventions.

Conclusion

Further multicenter studies are warranted to validate these preliminary findings.

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  4. Great debate: the new risk factor–weighted clinical likelihood model is useful to estimate the initial pre-test probability of obstructive coronary artery disease in individuals with suspected chronic coronary syndromes | European Heart Journal | Oxford Academic
  5. The Accuracy of Artificial Intelligence-Based Models Applied to 12-Lead Electrocardiograms for the Diagnosis of Acute Coronary Syndrome: A Systematic Review - PMC
  6. European Radiology — Multiparametric Cardiac Magnetic Resonance Without Contrast Enhances Detection of Coronary Microvascular Dysfunction and Structural Impairment Following Percutaneous Coronary Intervention
  7. Great debate: the new risk factor–weighted clinical likelihood model is useful to estimate the initial pre-test probability of obstructive coronary artery disease in individuals with suspected chronic coronary syndromes | European Heart Journal | Oxford Academic
  8. The Accuracy of Artificial Intelligence-Based Models Applied to 12-Lead Electrocardiograms for the Diagnosis of Acute Coronary Syndrome: A Systematic Review - PMC
  9. Artificial intelligence in cardiovascular diagnostics: a systematic review and descriptive analysis of clinical applications and diagnostic performance - PMC

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