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Diagnostic Performance of Angiography-derived Fractional Flow Reserve Based on Artificial Intelligence

Rapid Assessment of Precise Ischemic Diseases using angioFFR based on AI study - RAPID FFR study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000041712
Enrollment
200
Registered
2020-09-07
Start date
2018-11-05
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

coronary artery diseases

Interventions

None listed

Sponsors

Gifu Heart Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who had CAD with angiographically 30%-90% stenoses in major epicardial vessels were included

Exclusion criteria

Exclusion criteria: Coronary artery bypass grafting, myocardial infarction <72 hours, left main trunk disease, ostial lesions, vessel with stents, severe aortic valve stenosis and measured vessels with collaterals were excluded

Design outcomes

Primary

MeasureTime frame
Accuracy of angioFFR using invasive FFR less than or equal to 0.80 as the reference standard.

Secondary

MeasureTime frame
Sensitivity, specificity, positive predictive value and negative predictive value of angioFFR; the correlation, the agreement the area under the curve (AUC) of receiver-operating characteristics (ROC), the gradients and the processing time between invasive FFR and angioFFR; accuracy of average diameter and cross-section areas between the intracoronary imaging and angioFFR console; and reproducibility of angioFFR.

Countries

Japan

Contacts

Public ContactHiroyuki Omori

Gifu Heart Center Department of Cardiovascular Medicine

omori@heart-center.or.jp058-277-2277

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026