Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
Not yet recruitingNCT06186336
View the official record on ClinicalTrials.gov Recruiting status changes often. Contact the study team listed on ClinicalTrials.gov, and talk to your doctor before joining a study.
This study has no listed site in Canada in this snapshot. It is included as part of the worldwide chronic pain corpus.
Brief summary (from the registry)
The primary objective of this study is to assess the accuracy in terms of sensitivity, specificity, negative and positive predicted values of the DL-based algorithm with respect to correct identification of the plaque and associated vulnerability grade.
Study details
- Official title
- Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
- Conditions
- Chronic Coronary Syndrome
- Coronary Artery Disease
- Stable Angina
- Acute Coronary Syndrome
- Interventions
- Other: Deep Learning-based Vulnerable Plaque Detection and Assessment Tool
- Sponsor
- GE Healthcare
- Collaborators
- Azienda Socio-Sanitaria Territoriale di Pavia
- Start date
- 2025-01
- Primary completion
- 2025-06
- Sex
- All
- Results posted
- No results posted in this snapshot
- Countries
- Italy
- Total sites listed
- 1
Eligibility criteria
Show eligibility criteria (verbatim from the registry)
Inclusion Criteria: 1. Patients referred for a clinically indicated CCTA and ICA with OCT imaging examinations; 2. Diagnosis of chronic coronary syndrome, known CAD, or stable angina; AND, 3. Patients with ACS that may undergo a CCTA and not refer directly to the Cath lab for revascularization procedures. Exclusion Criteria: 1. Contradictions to contrast; 2. Contraindications for beta blocker; 3. BMI \>30; 4. High heart rate ≥75 BPM; 5. Atrial Fibrillation; 6. Arrythmia or irregular heartbeats; 7. Any prior coronary revascularization; 8. Presence of pacemaker or implantable cardioverter defibrillator; OR, 9. Patients with TAVI/TAVR.
Source: ClinicalTrials.gov (US National Library of Medicine), snapshot October 2026. Check the registry for current recruiting status. Record: https://clinicaltrials.gov/study/NCT06186336