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September 10, 2025

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

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Authors

PWPeter WohlfahrtMPMichal PazderníkNMNATÁLIA MARHEFKOVÁ

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Overview

Observational analysis found significant atherosclerotic burden in patients with low coronary artery calcium scores, suggesting limitations of traditional risk models.

Key Points

  • AI-QCT revealed significant coronary stenosis in 17% of T1D patients with low coronary artery calcium scores, highlighting undetected cardiovascular risks.
  • Among 52 patients undergoing AI-QCT, 30 presented with at least one high-risk plaque, indicating a higher prevalence of atherosclerosis than previously understood.
  • Fair agreement was observed between AI-QCT and coronary artery calcium scoring, with AI-QCT reclassifying 58% of patients into different risk categories.
  • These findings suggest that a low CAC score does not necessarily indicate low cardiovascular risk, calling for improved screening strategies.

Cite This Study

Wohlfahrt et al. (2025) studied this question.

synapsesocial.com/papers/68c241efb210217d647a2012https://doi.org/10.1177/15209156251363492
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Risk Stratification and Coronary Optical Coherence Tomography Findings in Asymptomatic Patients With Type 1 Diabetes Mellitus2025
  2. 2Predicting subclinical atherosclerosis in adults with type 1 diabetes using cardiovascular risk models: a cross‑sectional study from Italy2026
  3. 3Artificial intelligence in coronary artery calcification scoring: Current progress and future directions2025
  4. 4SCORE2-Diabetes for Predicting Coronary Artery Disease: A Cardiac CT Study in a Diabetic Moderate-Risk Region Population2025
  5. 5Redefining cardiovascular risk stratification: The evolving role of coronary CTA2025