Actively Recruiting

Age: 18Years +
All Genders
ID06337461

Computational Modeling of Myocardial Perfusion to Improve Outcome Prediction Based on Coronary Artery Stenosis and Atherosclerotic Plaque Burden by Computed Tomography

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

400

Participants Needed

1

Research Sites

N/A

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

Researchers are studying chronic coronary syndrome, focusing on improving the detection of coronary artery disease (CAD) through advanced imaging techniques. The study evaluates a new computational model designed to simulate myocardial blood flow (MBF) under stress conditions, potentially avoiding the need for additional stress testing. This observational research also explores how computed tomography angiography (CCTA) can identify plaque types and characteristics, using radiomics to enhance diagnosis accuracy. The study involves non-invasive coronary angiography tests that combine anatomical and functional assessments in a single imaging procedure. The computational model aims to predict MBF without the extra scanning and intravenous stress agents typically required, which can increase radiation exposure and cause side effects. Researchers will analyze plaque burden and biomechanics to better understand stenosis and stress within the coronary arteries. Participants will undergo imaging evaluations including CCTA and computational simulations to assess blood flow and plaque features. Data collected will help develop and validate the computational model by May 2025. The main outcome is creating a model to predict MBF and improve CAD risk assessment. The study is led by Centro Cardiologico Monzino and is expected to continue until May 2026.

CONDITIONS

Brief 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 coronary artery disease referred for nonemergent, clinically indicated non-invasive coronary angiography
  • Age 18 years or older
Not Eligible

You will not qualify if you...

  • Low pre-test likelihood of coronary artery disease
  • 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
  • Body mass index over 35 kg/m2
  • Presence of pacemaker or implantable cardioverter defibrillator
  • Contraindications to sublingual nitrates, beta-blockers, or adenosine administration

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - Up to 1 day

Participants undergo non-invasive coronary angiography and computed tomography to assess coronary artery stenosis and plaque burden.

1 visit (in-person)

Long-term Monitoring

Duration - Up to 12 months

Participants are observed for outcomes related to coronary artery disease risk without active intervention.

Follow-up visits as needed

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

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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