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Diagnostic Performance of On-site Automatic Coronary Computed Tomography Angiography-derived Fractional Flow Reserve

Diagnostic Performance of On-site Automatic Coronary Computed Tomography Angiography-derived Fractional Flow Reserve

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06153927
Enrollment
332
Registered
2023-12-01
Start date
2022-05-26
Completion date
2023-10-31
Last updated
2023-12-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary Artery Disease

Keywords

Computed Tomography-based Fractional Flow Reserve, Coronary Computed Tomography Angiography, Fractional Flow Reserve, Coronary Artery Disease

Brief summary

The current study evaluated the diagnostic performance for myocardial ischemia of on-site automatic CCTA-derived FFR (CT-FFR) using a commercially available workstation as compared with invasive FFR as a reference. The diagnostic performance of CT-FFR was compared to that of CCTA diameter stenosis.

Detailed description

This is a retrospective, multicenter, comparative, investigator-initiated study to evaluate the diagnostic performance of CT-FFR from routinely acquired CCTA data using the software HeartMedi+ 1.0 (AI Medic, Korea) to detect hemodynamically significant CAD. Patients who underwent CCTA within 90 days before invasive coronary angiography and FFR measurement will be screened in each participating center. After that, invasive coronary angiography, FFR data, and CCTA data will be anonymized and transferred to the independent core laboratories and analyzed in a blind fashion. The presence of ischemia was defined as FFR ≤0.80. Anatomical obstructive stenosis was defined as diameter stenosis on CCTA ≥50%, and the diagnostic performance of CT-FFR and CCTA stenosis for ischemia was compared.

Interventions

DIAGNOSTIC_TESTCT-FFR

CT-FFR was calculated using HeartMedi+ 1.0 according to the manufacturer's instructions

Sponsors

Keimyung University Dongsan Medical Center
CollaboratorOTHER
Inje University Ilsan Paik Hospital
CollaboratorOTHER
Chosun University Hospital
CollaboratorOTHER
Severance Hospital
CollaboratorOTHER
Seoul National University Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* adults aged 20 years or older * individuals who had undergone ≥ 64 multidetector row CCTA within 90 days before invasive coronary angiography and FFR measurement * individuals who had not experienced any clinical events or significant clinical changes between the time of CCTA and invasive coronary angiography

Exclusion criteria

* previous coronary intervention or coronary bypass surgery in the target vessel * invasive coronary angiography under unstable conditions * previous myocardial infarction at target vessel territory * congenital heart disease * moderate or severe valvular heart disease * previous valvular heart surgery * left ventricular ejection fraction ≤40% or left ventricular hypertrophy * previous cardiac device implantation * body mass index \>35 kg/m2 * poor FFR tracing quality * no information on the position of the FFR pressure wire * heart rate ≥100 beats/min during CCTA * CCTA calcium score ≥1000 * no nitroglycerin prior to CCTA * CCTA slice thickness \>1.0 mm * significant artifacts in CCTA

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic accuracy of CT-FFRAt the time of testDiagnostic accuracy of CT-FFR to detect hemodynamically significant CAD evaluated with an invasive FFR

Secondary

MeasureTime frameDescription
Agreement between CT-FFR and FFRAt the time of testBland-Altman analysis was used to demonstrate the agreement between CT-FFR and FFR.
Spearman's correlation coefficient of CT-FFR with FFRAt the time of testSpearman's correlation coefficient of CT-FFR with FFR
Comparison of diagnostic performance of CT-FFR to that of CCTA stenosisAt the time of testDiagnostic performance to predict hemodynamically significant CAD included diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. A comparison of diagnostic performance was performed using McNemar's test or weight generalized score statistic as appropriate.
Comparison of discriminant ability of CT-FFR to that of CCTA stenosisAt the time of testDiscriminant ability to predict hemodynamically significant CAD was assessed by the area under the receiver-operating characteristic curve (AUC). The AUCs were compared by Delong's test

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026