Effect of FFRCT-angio in Functional Diagnosis of Coronary Artery Stenosis

Effect of FFRCT-angio in Functional Diagnosis of Coronary Artery Stenosis: a Prospective, Multicenter Clinical Study

Coronary CT angiography (CTA) or invasive coronary angiography (CAG) is usually performed to evaluate the severity of coronary stenosis depending on the probability of CAD. However, the stenosis severity is not closely corresponding with the hemodynamic significance in coronary arteries.

As a result, fractional flow reserve (FFR) with pressure wire measurement was introduced to functionally assess the coronary stenosis. FFR is defined as the ratio of maximum blood flow distal to a stenotic lesion under hyperemia state to normal maximum flow in the same vessel. The cutoff value of FFR to detect significant ischemia is set to be 0.80, indicating that PCI should be considered if FFR≤0.80. However, FFR does have some limitations, such as risks of pressure wire injury, extra time and cost, and side effects of hyperemic agents.

To overcome the limitations of FFR, CTA- and CAG-based methods to functionally assess coronary stenosis were proposed, i.e. FFR derived from CTA (FFRCT) and FFR derived from angiography-based quantitative flow ratio (QFR), which can simultaneously evaluate anatomic and hemodynamic significance of stenotic lesions. A number of studies have demonstrated that FFRCT has high sensitivity and specificity in identifying myocardial ischemia. However, the diagnostic accuracy of FFRCT depends on the image quality of coronary CTA, and it is relatively low in lesions with severe calcification and/or tortuosity. Besides, the methodology of FFRCT relies on computational fluid dynamics, which is complicated and time consuming. As for QFR, it is a novel method for deriving FFR based on 3-dimensional quantitative coronary angiography (3D-QCA) and contrast frame counting during CAG. Recent studies have shown that QFR has good diagnostic performance in evaluating the functional significance of coronary stenosis. The accuracy of QFR is also highly associated with anatomic information, thereby its diagnostic accuracy may be decreased in diffuse, tandem, thrombus-containing, calcified, or torturous lesions, and it is not suitable for prior infarction-related or collateral donor arteries as well. Given the above issues concerning FFRCT and QFR, we proposed a novel approach that integrates coronary CTA and CAG images to calculate FFR (FFRCT-angio) using artificial intelligence. The present study was undertaken to test the diagnostic accuracy of FFRCT-angio in patients with SCAD.

Study Overview

Status

Unknown

Intervention / Treatment

Detailed Description

Cardiovascular disease remains the leading cause of death worldwide, and stable coronary artery disease (SCAD) accounts for the greatest proportion of cardiovascular disease. In the past decades, percutaneous coronary intervention (PCI) has become one of the most common treatments for SCAD, and therefore assessing the hemodynamic significance of coronary stenosis is important for physicians to make the optimal treating strategy. Coronary CT angiography (CTA) or invasive coronary angiography (CAG) is usually performed to evaluate the severity of coronary stenosis depending on the probability of CAD. However, the stenosis severity is not closely corresponding with the hemodynamic significance in coronary arteries.

As a result, fractional flow reserve (FFR) with pressure wire measurement was introduced to functionally assess the coronary stenosis. FFR is defined as the ratio of maximum blood flow distal to a stenotic lesion under hyperemia state to normal maximum flow in the same vessel. The cutoff value of FFR to detect significant ischemia is set to be 0.80, indicating that PCI should be considered if FFR≤0.80. FAME (Fractional Flow Reserve versus Angiography for Multivessel Evaluation) study confirmed that FFR guided PCI was superior to angiography guided PCI in reducing major adverse cardiovascular events (MACE) in patients with multivessel disease. In the subsequent FAME 2 study, FFR guided PCI plus the optimal medical treatment (OMT), as compared with the OMT alone, decreased the composite event rates mainly driven by urgent revascularization in SCAD patients. However, FFR does have some limitations, such as risks of pressure wire injury, extra time and cost, and side effects of hyperemic agents.

To overcome the limitations of FFR, CTA- and CAG-based methods to functionally assess coronary stenosis were proposed, i.e. FFR derived from CTA (FFRCT) and FFR derived from angiography-based quantitative flow ratio (QFR), which can simultaneously evaluate anatomic and hemodynamic significance of stenotic lesions. A number of studies have demonstrated that FFRCT has high sensitivity and specificity in identifying myocardial ischemia. However, the diagnostic accuracy of FFRCT depends on the image quality of coronary CTA, and it is relatively low in lesions with severe calcification and/or tortuosity. Besides, the methodology of FFRCT relies on computational fluid dynamics, which is complicated and time consuming. As for QFR, it is a novel method for deriving FFR based on 3-dimensional quantitative coronary angiography (3D-QCA) and contrast frame counting during CAG. Recent studies have shown that QFR has good diagnostic performance in evaluating the functional significance of coronary stenosis. The accuracy of QFR is also highly associated with anatomic information, thereby its diagnostic accuracy may be decreased in diffuse, tandem, thrombus-containing, calcified, or torturous lesions, and it is not suitable for prior infarction-related or collateral donor arteries as well. Given the above issues concerning FFRCT and QFR, we proposed a novel approach that integrates coronary CTA and CAG images to calculate FFR (FFRCT-angio) using artificial intelligence. The present study was undertaken to test the diagnostic accuracy of FFRCT-angio in patients with SCAD.

Study Type

Observational

Enrollment (Anticipated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Heilongjiang
      • Harbin, Heilongjiang, China, 150001
        • Recruiting
        • The First Affiliated Hospital of Harbin Medical University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years to 86 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with stable coronary heart disease

Description

Inclusion Criteria:

  • Patients with stable coronary heart disease undergoing CTA.
  • Patients with at least one coronary artery stenosis of 50% - 90% in diameter ≥ 2mm.
  • Within 30 days after CTA, CAG and FFR were determined by clinicians according to their condition.

Exclusion Criteria:

  • Patients with myocardial infarction within 72 hours.
  • Patients with coronary artery thrombosis.
  • Patients with a history of allergy to contrast media or adenosine.
  • NYHA class III-IV patients.
  • Patients with previous CABG, target vessel PCI, pacemaker, ICD.
  • Patients with a history of prosthetic valve implantation.
  • Patients with myocardial bridges in the target vessels.
  • Patients with severe arrhythmia.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
By taking FFR value as the standard, evaluating the accuracy of FFRCT-angio in the functional significance of coronary stenosis
Time Frame: 5 days
By taking FFR value as the standard, evaluating the accuracy of FFRCT-angio in the functional significance of coronary stenosis
5 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
By taking FFR value as the standard, evaluating the sensitivity and specificity of FFRCT-angio in the functional significance of coronary stenosis
Time Frame: 5 days
By taking FFR value as the standard, evaluating the sensitivity and specificity of FFRCT-angio in the functional significance of coronary stenosis
5 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

October 1, 2020

Primary Completion (Anticipated)

October 1, 2021

Study Completion (Anticipated)

December 31, 2021

Study Registration Dates

First Submitted

July 28, 2020

First Submitted That Met QC Criteria

July 28, 2020

First Posted (Actual)

July 30, 2020

Study Record Updates

Last Update Posted (Actual)

July 30, 2020

Last Update Submitted That Met QC Criteria

July 28, 2020

Last Verified

July 1, 2020

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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