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EXIT-CVD Project: Evidence Based Exit Strategies for the Cardiovascular Disease Continuum Trough Early Detection, Treatment and Evaluation
Sponsor: Centro Cardiologico Monzino
Summary
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).
Official title: EXIT-CVD Project: Evidence Based Exit Strategies for the Cardiovascular Disease Continuum Trough Early Detection, Treatment and Evaluation (EXIT-CVD)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
300
Start Date
2026-09-01
Completion Date
2028-01-01
Last Updated
2026-10-05
Healthy Volunteers
No
Conditions
Interventions
Photon Counting Computed Tomography (PCCT)
Participants will undergo an additional Photon Counting Computed Tomography (PCCT) coronary angiography acquisition for research purposes after a clinically performed conventional coronary CT angiography. The PCCT examination will be performed using an optimized low-dose acquisition protocol. PCCT images will be analyzed using a dedicated image post-processing platform incorporating artificial intelligence-based Quantitative Coronary CT (AI-QCT) algorithms for quantitative and qualitative assessment of coronary artery disease, including coronary stenosis, plaque burden, plaque composition, and high-risk plaque features. Image quality, radiation exposure, and contrast medium volume will also be assessed.
Locations (1)
Centro Cardiologico Monzino; IRCCS
Milan, Milano, Italy