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October 10, 2025Cardiovascular DiabetologyOpen Access

Deep learning-based coronary calcium score derived from non-gated chest CT and major adverse cardiovascular events in patients with type 2 diabetes mellitus

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Authors

YXYidan XuYYYarong YuXDXiaoying Ding

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Overview

Retrospective analysis shows DL-CACS predicts MACEs in T2DM patients, suggesting improved risk stratification.

Key Points

  • DL-CACS is an independent predictor of MACEs in patients with T2DM, improving risk assessment.
  • In this study, MACEs occurred in 10.71% of 2,241 patients, significantly related to higher DL-CACS values.
  • Multivariate Cox regression demonstrated DL-CACS's predictive value, with a hazard ratio of 1.07.
  • Model 2, incorporating DL-CACS, showed better predictive performance than the Framingham risk score in validation cohorts.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/68e861b07ef2f04ca37e4abehttps://doi.org/10.1186/s12933-025-02934-y
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Also Consider

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

  1. 1Prognostic Value of Anatomic and Hemodynamic Analysis Based on Coronary Computed Tomography Angiography in Type 2 Diabetes Mellitus Patients With Stable Coronary Artery Disease.2026
  2. 2SCORE2-Diabetes for Predicting Coronary Artery Disease: A Cardiac CT Study in a Diabetic Moderate-Risk Region Population2025
  3. 3Explainable machine learning model of coronary artery disease combined with diabetes: development and validation study2026
  4. 4A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data2025
  5. 5Incremental Value of Non‐Gated Chest CT Coronary Artery Calcium Score in Predicting Major Adverse Cardiovascular Events by GRACE Score After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome2025