Trustworthy, Integrated Artificial Intelligence Tools for Predicting High-risk CORonary PlaqueS

Официальное название

Rustworthy, Integrated Artificial Intelligence Tools for Predicting High-risk CORonary PlaqueS

Обзор

Coronary artery disease (CAD) is among the leading cause of death and disability. Identification of patients at high risk of cardiovascular events is pivotal. However, current risk stratification based on imaging and known biomarkers is suboptimal. The objective of this proposal is to develop a multicriteria decision model for non-invasive assessment of vulnerable atherosclerotic patients and to evaluate its ability to predict the occurrence of an adverse event in intermediate-to-high risk patients with suspected or known CAD. The planned workflow includes a first step using a retrospective cohort of patients undergoing clinically indicated coronary angiography (CCTA) to develop an integrated application for automatic coronary artery segmentation, quantitative plaque analysis, biomechanics and fluid dynamics, based on machine learning, radiomics and computational analysis approaches and validated against the reference standard for each tool. The second step will apply this new methodology to a larger retrospective cohort of patients with the integration of genomic biomarker assessment to derive the most accurate risk stratification model to properly identify vulnerable patients and vulnerable plaques with respect to outcome. Finally, in the third step, the derived predictive model will be prospectively validated in an independent cohort of patients from an ongoing study (CTP-PRO study) to assess the robustness and accuracy of the proposed solution.

Первичные конечные точки

• Creation of an automated integrative artificial intelligence (AI) approach for the stratification of CAD patients and assessment of vulnerable coronary plaques at risk of acute complications [Срок оценки: January 2026]
• Quantitative assessment of the atherosclerotic burden and high risk plaque features [Срок оценки: January 2026]

Критерии участия

Критерии включения

• patients (age ≥ 18 years) with known or suspected CAD referred for clinically indicated diagnostic evaluation;
• CCTA performed with state-of-the-art scanner technology, i.e., scanners with more than 64 slices.

Критерии исключения

• performance of any non-invasive diagnostic test within 90 days before enrolment;
• low-to-intermediate pre-test likelihood of CAD according to the updated Diamond-Forrester risk model score;
• acute coronary syndrome;
• evidence of clinical instability;
• contraindication to contrast agent administration and/or impaired renal function;
• inability to sustain a breath hold;
• pregnancy;
• cardiac arrhythmias;- presence of a pacemaker or implantable cardioverter defibrillator;
• contraindications to the administration of sublingual nitrates, β-blockers or adenosine;
• structural cardiomyopathy

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения

Когортное

Центры проведения

Италия · 2 центра

• Centro Cardiologico Monzino — Milan
• Centro Cardiologico Monzino — Milan

Идентификаторы

NCT: NCT06410690 · CCM1890

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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