Computational mOdelliNg of myoCardial pERfusion to Improve ouTcome Prediction Based on cOronary Artery Stenosis and Atherosclerotic Plaque Burden Assessment by Computed Tomography
NCT ID: NCT06337461
Last Updated: 2026-02-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
400 participants
OBSERVATIONAL
2023-05-22
2026-05-30
Brief Summary
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On top of this, CCTA can characterize plaque type and identify adverse plaque characteristics. Moreover, biomechanics analysis allows the study of luminal stenosis and stress within the plaque. Finally, radiomics, extracting quantitative features from medical images to create big data and identify novel imaging biomarkers, can be applied to improve the diagnostic accuracy of coronary plaques.
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Prior myocardial infarction
* Previous history of revascularization
* Acute coronary syndrome
* Need for an emergent procedure
* Evidence of clinical instability
* Contraindication for contrast agent or impaired renal function
* Inability to sustain a breath-hold
* Pregnancy
* Atrial fibrillation or flutter
* BMI \> 35kg/m2
* Presence of pm or ICD
* Contraindications to the administration of sublingual nitrates, betablockade, and adenosine
18 Years
ALL
No
Sponsors
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Politecnico di Milano
OTHER
University of Bari
OTHER
Centro Cardiologico Monzino
OTHER
Responsible Party
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Locations
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Centro Cardiologico Monzino
Milan, Milan, Italy
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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CCM1930
Identifier Type: -
Identifier Source: org_study_id
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