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Machine leArning Based CT angiograpHy derIved FFR: a Multi-ceNtEr, Registry

Machine leArning Based CT angiograpHy derIved FFR a Multi-ceNtEr, Registry

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02805621
Acronym
Machine
Enrollment
352
Registered
2016-06-20
Start date
2016-04-30
Completion date
2017-01-31
Last updated
2017-01-04

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

Conditions

Coronary Artery Disease, Coronary Heart Disease

Brief summary

Demonstrate in a large multicenter population the diagnostic performance of a pre-commercial on-site, local, CT angiography derived FFR algorithm in comparison to invasive FFR.

Detailed description

To retrospectively evaluate the diagnostic accuracy of FFRCT, in patients with known or suspected CAD. the investigators propose to do technical assessment of the software and evaluate how different parameters effect the outcome. Validate the FFTCT outcome by comparing the FFRCT values with invasive FFR values from retrospective patient data. To analyze the potential of FFRCT on decision making and prognosis.

Interventions

None listed

Sponsors

Asan Medical Center
CollaboratorOTHER
University Hospital, Linkoeping
CollaboratorOTHER
National Institute of Cardiology, Warsaw, Poland
CollaboratorOTHER
Medical University of South Carolina
CollaboratorOTHER
Siemens Healthcare Diagnostics Inc
CollaboratorINDUSTRY
Erasmus Medical Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

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

Inclusion criteria

* Know or suspect coronary artery disease followed within 6 months by an invasive FFR measurement.

Exclusion criteria

* Cardiac event between coronary CT angiography and the invasive FFR procedure, noninterpretable coronary CT angiography image quality, or incomplete coronary CT angiography coverage.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy of local reduced order CFD and machine learning based CT angiography derived FFR, both validated against invasive FFR. Measured at both vessel and patient level.6 months

Secondary

MeasureTime frame
Influence of calcium on diagnostic accuracy of CT angiography derived FFR.6 months
Confidence intervals of CT angiography derived FFR6 months
Direct vessel based comparison between CT angiography derived FFR and QCT stenosis measurements6 months
Analysis of anatomically mild stenosis (<50% lumen diameter reduction) but functionally significant (invasive FFR ≤ 0.80)6 months
Long term clinical outcome of CT angiography derived FFR12 months

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 2, 2026