EXIT-CVD Project: Evidence Based Exit Strategies for the Cardiovascular Disease Continuum Trough Early Detection, Treatment and Evaluation (EXIT-CVD)
| Registry | NCT07857031, acronym EXIT-CVD |
|---|---|
| Status | Active not recruiting |
| Phase | Not applicable |
| Study type | Interventional; na, single group, masking: none, diagnostic |
| Enrollment | 300 (Actual) |
| Sponsor | Centro Cardiologico Monzino (Other) |
| Conditions | CAD - Coronary Artery Disease |
| Interventions | Photon Counting Computed Tomography (PCCT) (Radiation) |
| Dates | start 2026-09-01, primary completion 2028-01-01 (estimated), completion 2028-01-01 (estimated), first posted 2026-10-05, last updated 2026-10-05 |
| Locations | 1 site in Italy |
Related Papers Related Patents Related Grants Related Experts
All trials for CAD - Coronary Artery Disease All trials of Photon Counting Computed Tomography (PCCT)
This prospective, single-center interventional imaging study aims to evaluate the diagnostic performance of Photon Counting Computed Tomography (PCCT) combined with artificial intelligence-based Quantitative Coronary CT (AI-QCT) analysis in patients with suspected or known coronary artery disease (CAD).
Adult patients with a positive conventional coronary CT angiography (CCTA) who are scheduled for clinically indicated invasive coronary angiography with intravascular ultrasound (IVUS) will undergo an additional PCCT acquisition for research purposes. PCCT datasets will be analyzed using a dedicated post-processing platform implementing artificial intelligence-based Quantitative Coronary CT (AI-QCT) algorithms for automated plaque quantification and characterization, including assessment of plaque burden, plaque composition, stenosis severity, and high risk plaque features. Conventional CCTA and PCCT images will be compared within the same patient to assess image quality, coronary stenosis, plaque burden and composition, high-risk plaque features, CAD-RADS classification, radiation exposure, and contrast medium volume.
Invasive coronary angiography and IVUS findings will serve as reference standards to evaluate the diagnostic accuracy and agreement of CT-derived measurements. The study will assess whether PCCT combined with AI-QCT provides improved coronary plaque characterization, diagnostic performance, and cardiovascular risk stratification compared with conventional CCTA, while potentially reducing radiation exposure and contrast medium requirements.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| PCCT and AI-QCT Imaging | Experimental | Radiation: Photon Counting Computed Tomography (PCCT) | Participants with suspected or known coronary artery disease and a positive conventional coronary CT angiography (CCTA) will undergo an additional Photon Counting Computed Tomography (PCCT) acquisition for research purposes. PCCT images will be analyzed using a dedicated image post-processing platform incorporating artificial intelligence-based Quantitative Coronary CT (AI-QCT) algorithms for the assessment of coronary stenosis, plaque burden, plaque composition, and high-risk plaque features. PCCT findings will be compared with conventional CCTA findings and with invasive coronary angiography and intravascular ultrasound (IVUS), which will serve as reference standards. |
Sex: All, ages: 18 Years to any
Inclusion Criteria: * Adults (≥ 18 years) * Patients with suspected or known CAD and a positive conventional coronary CT angiography requiring further invasive evaluation. * Patients scheduled for clinically indicated invasive coronary angiography with IVUS assessment. * Ability to under go an additional PCCT scan according to the study protocol * Ability and willingness to provide written informed consent. Exclusion Criteria: * Contraindications to CT imaging or iodinated contrast media * Severe renal impairment (eGFR <30 mL/min/1.73 m²) * Pregnancy or breastfeeding. * Hemodynamic instability or inability to undergo CT acquisition * Significant arrhythmias impairing image acquisition quality. * Inability to provide informed consent.
| Facility | City | Country | Status |
|---|---|---|---|
| Centro Cardiologico Monzino; IRCCS | Milan, Milano | Italy |