Machine leArning Based CT angiograpHy derIved FFR: a Multi-ceNtEr, Registry
- Conditions
- Coronary Heart DiseaseCoronary Artery Disease
- Registration Number
- NCT02805621
- Lead Sponsor
- Erasmus Medical Center
- 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.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 352
- Know or suspect coronary artery disease followed within 6 months by an invasive FFR measurement.
- Cardiac event between coronary CT angiography and the invasive FFR procedure, noninterpretable coronary CT angiography image quality, or incomplete coronary CT angiography coverage.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 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 Outcome Measures
Name Time Method Influence of calcium on diagnostic accuracy of CT angiography derived FFR. 6 months Direct vessel based comparison between CT angiography derived FFR and QCT stenosis measurements 6 months Confidence intervals of CT angiography derived FFR 6 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 FFR 12 months
Trial Locations
- Locations (1)
ErasmusMC
🇳🇱Rotterdam, Zuid Holland, Netherlands