NCT02805621

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

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

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 352 (actual)
• Sponsor: Erasmus Medical Center · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Coronary Heart Disease
• Coronary Artery Disease

Timeline

• Start date: 2016-04-01
• Primary completion: 2017-01-01
• Completion: 2017-01-01
• First posted: 2016-06-20
• Last updated: 2017-01-04

Locations

1 site across 1 country: Netherlands