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Automatic Anatomical and Functional Classification of Coronary Arteries With Artificial Intelligence.

NCT05810610 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1670

Last updated 2023-04-12

No results posted yet for this study

Summary

The goal of this Category 3 research involving the human person is to predict the measurement of the post-stenosis flow (FFR) using CTTA coupled with an intelligent predictive analysis system and comparing it with invasive coronary angiography FFR as measurement of reference.

The population studied are adult patients,- with no diagnosed coronary status or history of stenting or bypass surgery- with indication for FFR measurement.

The main question it aims to answer is:

• Can, in a single acquisition, CTTA coupled with AI produce good predictive performance of stenosis and FFR ? If it can it will allow us to avoid the need for invasive FFR.

For patients who will be included in the retrospective part: only their data from their medical records will be used.

Patients who will be included in the prospective part will additionally complete the EQ5D5L questionnaire before coronary angiography and at the end of the patient's participation (4 months after the CCTA).

There is a no comparison group, the predictive FFR from CTTA of a patient will be compared with angiography FFR from the same patient, same vessel.

Conditions

  • Coronary Stenosis

Sponsors & Collaborators

  • Institut Mutualiste Montsouris

    lead OTHER

Principal Investigators

  • Jean-François PAUL, MD · Institut Mutualiste Montsouris

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-04-30
Primary Completion
2025-10-31
Completion
2025-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05810610 on ClinicalTrials.gov