NCT06025305Enrolling by invitation
Identifying Vulnerable CoronAry PLaqUes With Artificial IntElligence-assisted CT Angiography
Development and Validation of Multi-scale Deep Neural Network-Based CT Intelligent Diagnosis System for Coronary Vulnerable Plaques: A Chinese Multicenter Study
Source: ClinicalTrials.gov · Last updated 11 May 2026
Brief summary (registry, in English)
The goal of this observational study is to develop an automatic whole-process AI model to detect, quantify, and characterize plaques using coronary CT angiography in coronary artery disease patients. The main questions it aims to answer are: 1. Whether the AI model enables to detect and quantify coronary plaques compared with intravascular ultrasound or expert readers; 2. Whether the AI model enables to identify vulnerable plaques using intravascular ultrasound or optical coherence tomography as the reference standard. 3. Whether the AI model enables to predict future adverse cardiac events in a large cohort of 10,000 patients with non-obstructive CAD. 4. Whether the AI model enables to influnece downstream clincial decision-making.
- Status (registry)
- Enrolling by invitation
- Study type
- Observational
- Enrollment
- 2000 (estimated)
- First submitted
- 30 Aug 2023
- Start date
- 1 Jul 2023
- Primary completion date
- 31 Dec 2026
- Lead sponsor
- Jinling Hospital, China
- Diseases
- Coronary artery disease
- NCT number
- NCT06025305
What you commit to
- Study type: Observational
- Planned participants: 2000
- From 1 Jul 2023 to the primary completion date, 31 Dec 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- Image quality of CCTA or intravascular US was inadequate to analyze;
- Intravascular imaging was performed after percutaneous coronary intervention (PCI) or pre-dilation of the target lesions;
- Lesions could not be co-registered between CCTA and intravascular US;
- Missing CCTA or intravascular US data
Who the study is looking for
- Intravascular imaging (including intravascular ultrasound or optical coherence tomography) was performed within 3 months after CCTA;
- No change in medications or clinical symptoms during CCTA and intravascular imaging examinations;
- Coronary artery diameter stenosis of 30% to 90% on invasive coronary imaging.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Research Institute Of Medical Imaging Jinling Hospital Coordinator of this site? Confirm its status | Nanjing | China | Unknown status |
Related publications
- A Fully Automated Deep Learning Model for Quantifying Coronary Plaque at Coronary CT Angiography.Radiology · 2026 · PMID 42012347
This page is information, not medical advice. Discuss any trial with your doctor.