Validation of a Computed Tomography (CT) Based Fractional Flow Reserve (FFR) Software Using the 320 Detector Aquilion ONE CT Scanner.
NCT03149042 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 75
Last updated 2020-11-17
Summary
Coronary Computed Tomography Angiography (CCTA) contrast opacification gradients and FFR-CT estimation can aid in the severity estimation of significant atherosclerotic lesions. Currently, FFR-CT algorithms can only be optimized using theoretical models and can only be validated in large multi-center clinical trials. Using patient specific 3D printed coronary phantoms would allow optimization of FFR-CT algorithms with a measured validation technique without the need for large clinical trials. Thus the investigators believe that this study will result in a FFR-CT algorithm/method with a better predictability for arterial lesion severity than those existing on the market today. Flow measurements will be compared with: CT-FFR for both patients and phantoms, angio lab FFR measurements and 30 days follow-up. This pilot clinical study includes \~50 patients over a year and half at GVI.
Conditions
- Atherosclerosis, Coronary
Interventions
- DIAGNOSTIC_TEST
-
CCTA
Diagnostic Test
Sponsors & Collaborators
-
State University of New York at Buffalo
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2016-05-28
- Primary Completion
- 2018-12-31
- Completion
- 2019-04-21
- FDA Device
- Yes
Countries
- United States
Study Locations
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