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The AIPLAQUE Study: An Artificial Intelligence-based Prospective Study to Analyze PLAQUE Using CCTA

NCT05750082 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2023-04-19

No results posted yet for this study

Summary

This trial is a single-center, prospective, observational clinical study. All patients who have at least one coronary artery stenosis of 30%-90% in diameter ≥ 2mm confirmed by CCTA, and who are scheduled to undergo clinically indicated invasive coronary angiography (ICA) and optical coherence tomography (OCT) evaluation and/or treatment will be eligible for enrollment. We proposed a novel approach that integrates CCTA, ICA and OCT images to automatically measure plaque characterization and calculate CT-FFR using computational fluid dynamics (CFD) simulation and artificial intelligence deep learning.

Conditions

  • Coronary Artery Disease Acute Coronary Syndrome Myocardial Ischemia Plaque Characterization

Interventions

DEVICE

CCTA CT-FR CAG OCT

Per the protocol, patients will have a CCTA (coronary computed tomography angiography), CT-FFR (fractional flow reserve derived from CTA), ICA (invasive coronary angiography), OCT (optical coherence tomography).

Sponsors & Collaborators

  • Harbin Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-04-12
Primary Completion
2023-09-01
Completion
2023-12-01

Countries

  • China

Study Locations

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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 NCT05750082 on ClinicalTrials.gov