Cleerly Demonstrates Significant Cardiovascular Risk Prediction in Late-Breaking Clinical Science at European Society of Cardiology Congress 2025

Partner News | Published: Thursday, September 4, 2025

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Cleerly, a leader in artificial intelligence (AI)-based cardiovascular imaging, presented a late-breaking analysis of registry data, Prognostic Value of AI-based Quantitative Coronary CT Evaluation Versus Standard Qualitative Evaluation, and five additional research abstracts at the European Society of Cardiology (ESC) Congress 2025, Aug. 29 - Sept. 1, 2025, at the Institución Ferial de Madrid (IFEMA) in Madrid, Spain.

Cleerly presented late-breaking results from the CONFIRM2 registry, which demonstrated that the addition of AI-based quantitative coronary computed tomography angiography (AI-QCT) significantly improved risk discrimination compared to models combining other clinical predictors such as CAD-RADS 2.0, coronary artery calcium score (CAC), and DUKE coronary artery disease (CAD) index used for predicting major adverse cardiovascular events (MACE).

CONFIRM2¹ is a multicenter, international, observational cohort targeting 30,000 patients, with more than 8,000 participants currently enrolled, that aims to perform comprehensive quantification of CT angiography findings and relate them to clinical variables and cardiovascular clinical outcomes. For this ESC late-breaker, investigators analyzed a symptomatic subset of the cohort with available manual Coronary Artery Disease-Reporting and Data System (CAD-RADS) and CAC scores. AI-QCT was applied to quantify plaque burden, morphology, composition and luminal obstruction across the coronary tree, and predictive modeling was performed using quantitative diameter stenosis and non-calcified plaque volume.

"This research shows we can now identify patients at risk for MACE with greater precision than ever before," said Ibrahim Danad, MD, PhD, of Radboud University Medical Center and principal investigator. 

Principal investigator Alexander van Rosendael, MD, PhD, from Leiden University Medical Center, who presented the results at ESC, stated, "Plaque burden quantification by AI-QCT provides critical insights that standard CT evaluation will miss, especially in patients with mild-to-moderate disease who represent a significant portion of our patient population."

Key findings include:

• AI-QCT provided incremental prognostic information over CAD-RADS, CAC scoring, and the Duke Index.
• The addition of AI-QCT significantly improved risk stratification compared to the CAD-RADS (AUC 0.81 vs. 0.79, p<0.001), the CAC score (AUC 0.79 vs. 0.70, p<0.001), and the DUKE Index (0.81 vs. 0.76, p<0.001).
• The greatest benefit of the addition of AI-QCT was observed in patients without severe stenosis.

Additional Research Abstracts

• Cleerly also presented five additional abstracts covering advances in stenosis quantification, diagnostic performance across patient populations and sex-based differences in plaque assessment:
  • Optimizing Stenosis Quantification by a Novel Interpolation-Based Approach: Diagnostic Performance Data from CREDENCE and PACIFIC-1.
  • Diagnostic Performance of a Novel AI Algorithm for Determining Coronary Ischemia (AI-QCT ISCHEMIA) According to Patient Comorbidities.
  • Pooled-Analysis Comparing Accuracy of Cleerly ISCHEMIA vs. FFRCT.
  • Sex-Based Differences in Association with Plaque Burden and Ischemia — a CREDENCE Trial Substudy.
  • Differential Atherosclerotic Burden and Ischemic Risk Across Major Coronary Arteries: a Comparative Analysis Using Quantitative Coronary Computed Tomography Angiography; a CREDENCE Trial Substudy.

For more information about Cleerly's groundbreaking cardiovascular research and technology, visit www.cleerlyhealth.com. 

References:

1. Van Rosendael AR, Crabtree T, Bax JJ, et al.; CONFIRM 2 investigators. Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study. J Cardiovasc Comput Tomogr. 2024;18(1):11-17.

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