Actively Recruiting

Age: 18Years +
All Genders
NCT06337461

Computational mOdelliNg of myoCardial pERfusion to Improve ouTcome Prediction Based on cOronary Artery Stenosis and Atherosclerotic Plaque Burden Assessment by Computed Tomography

Led by Centro Cardiologico Monzino · Updated on 2026-02-03

400

Participants Needed

1

Research Sites

157 weeks

Total Duration

On this page

Sponsors

C

Centro Cardiologico Monzino

Lead Sponsor

P

Politecnico di Milano

Collaborating Sponsor

AI-Summary

What this Trial Is About

Detection of coronary stenosis is of utmost importance in identifying vulnerable patients. The combined use of coronary computed tomography angiography at rest (CCTA) and stress myocardial computed tomography perfusion (stress-CTP) provides both anatomic and functional analysis of coronary artery disease (CAD) using a single imaging test. Stress-CTP evaluates myocardial perfusion by measuring myocardial blood flow (MBF) under pharmacologically induced stress conditions. The drawback is that stress-CTP requires additional scanning and administration of an intravenous stressor with an increase in radiation exposure and potential stressor-related side effects. The investigators recently patented a computational model that can reproduce MBF under stress conditions (Italian patent n. 102021000031475 Metodo implementato mediante computer per la simulazione del flusso sanguigno miocardico in condizioni di stress \[Computational method for simulating myocardial blood flow in stress conditions\], half owned by Centro Cardiologico Monzino, half by Politecnico di Milano). 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.

CONDITIONS

Official Title

Computational mOdelliNg of myoCardial pERfusion to Improve ouTcome Prediction Based on cOronary Artery Stenosis and Atherosclerotic Plaque Burden Assessment by Computed Tomography

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Symptomatic patients with suspected CAD referred for nonemergent, clinically indicated non-invasive coronary angiography
Not Eligible

You will not qualify if you...

  • Low pre-test likelihood of CAD
  • 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 pacemaker or ICD
  • Contraindications to the administration of sublingual nitrates, betablockade, and adenosine

AI-Screening

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Trial Site Locations

Total: 1 location

1

Centro Cardiologico Monzino

Milan, Milan, Italy, 20131

Actively Recruiting

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Research Team

G

Gianluca Pontone, MD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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