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Coronary artery disease (CAD) is the leading cause of mortality and morbidity worldwide. Coronary Computed Tomography angiography (CCTA) gained a pivotal clinical role for excellent sensitivity in rule-out CAD, but has limited specificity for a tendency to overestimate stenoses and for the lack of information about their hemodynamic impact. Fractional Flow Reserve derived from CT (FFR-CT) and stress CT perfusion (CTP) have been recently proposed to complement CCTA in the non-invasive assessment of myocardial ischemia, increasing the specificity and avoiding unnecessary catheterization. However, on energy-integrating (EID)-CT, FFR-CT has suboptimal performance, while CTP is affected by high radiation exposure. Both these approaches may benefit by the introduction of the new Photon Counting Detector (PCD)-CT technology, but data completely lacks. Aim of the study is to assess the performance of PCD-CT in the identification of significant CAD combining CCTA with FFR-CT and spectral CTP.
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of CCTA, CCTA plus FFR-CT, and CCTA plus spectral stress CT perfusion in the detection of hemodynamically relevant coronary stenosis | CCTA-derived stenosis and plaque characterization; CT-FFR values from commercial and in-house solutions; CTP-derived iodine uptake measurement; invasive FFR as reference standard. Comparison of off-site versus on-site CT-FFR solutions determined against invasive FFR. | 36 months |
| Evaluation of rest spectral CT perfusion for the assessment of haemodynamic significance of stenosis | Coronary stenosis severity at CCTA; myocardial iodine uptake at baseline, rest, and stress CTP; diagnostic performance of iodine uptake values against invasive FFR. | 36 months |
| Identification of geometric features from PCD-CT ultra high resolution CCTA associated to plaque-specific ischemia at invasive FFR. | Blinded analysis of baseline CCTA for qualitative and quantitative plaque characteristics, with correlation to invasive FFR. Inter-rater agreement assessment between two expert readers. Deep learning-based radiomic feature extraction from plaques and vessel walls. Development of a data-driven feature selection pipeline to predict hemodynamically significant stenosis from CCTA data, using invasive FFR as reference. | 36 months |
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Inclusion Criteria:
Exclusion Criteria:
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142 patients (age>18 years old) referred to our hospitals for elective CCTA for ruling out CAD and CCTA evidence of moderate stenosis (50-69%) requiring functional assessment according to ESC guidelines (1) because is known that not all anatomical stenosis in the range of moderate (50-69%) are haemodynamically significant (2) or induce myocardial ischaemia (3).
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Anna Palmisano, Medicine and Surgery | Contact | +39 3200985665 | palmisano.anna@hsr.it | |
| Davide Vignale, Medicine and Surgery | Contact | +39 3480521191 | vignale.davide@hsr.it |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Azienda Ospedaliero-Universitaria Sant'Andrea | Roma | RM | 00189 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39982387 | Background | Correction to: 2024 ESC Guidelines for the management of chronic coronary syndromes: Developed by the task force for the management of chronic coronary syndromes of the European Society of Cardiology (ESC) Endorsed by the European Association for Cardio-Thoracic Surgery (EACTS). Eur Heart J. 2025 Apr 22;46(16):1565. doi: 10.1093/eurheartj/ehaf079. No abstract available. | |
| 40138651 |
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| IRCCS Ospedale San Raffaele | Milan | Italy |
| Background |
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