The ADAPT Study: Assessment of the DiAgnostic Performance of DeepVessel FFR in SuspecTed Coronary Artery Disease (ADAPT)
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ClinicalTrials.gov Identifier: NCT04828590 |
Recruitment Status :
Completed
First Posted : April 2, 2021
Last Update Posted : April 22, 2022
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Tracking Information | |||||||||
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First Submitted Date | March 28, 2021 | ||||||||
First Posted Date | April 2, 2021 | ||||||||
Last Update Posted Date | April 22, 2022 | ||||||||
Actual Study Start Date | August 10, 2020 | ||||||||
Actual Primary Completion Date | December 1, 2021 (Final data collection date for primary outcome measure) | ||||||||
Current Primary Outcome Measures |
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Original Primary Outcome Measures | Same as current | ||||||||
Change History | |||||||||
Current Secondary Outcome Measures |
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Original Secondary Outcome Measures | Same as current | ||||||||
Current Other Pre-specified Outcome Measures | Not Provided | ||||||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||||||
Descriptive Information | |||||||||
Brief Title | The ADAPT Study: Assessment of the DiAgnostic Performance of DeepVessel FFR in SuspecTed Coronary Artery Disease | ||||||||
Official Title | Assessment of the DiAgnostic Performance of DeepVessel FFR in SuspecTed Coronary Artery Disease | ||||||||
Brief Summary | DEEPVESSEL FFR is a medical device that is designed to extract three- dimensional coronary tree structures and generate computed tomography-derived fraction flow reserve (FFR) values from coronary CT angiogram images. The primary objective of this multi-center clinical validation study is to validate the clinical performance of DEEPVESSEL FFR in identifying patients with myocardial ischemia due to significant obstructive coronary artery diseases. | ||||||||
Detailed Description | Coronary artery disease (CAD) is the most common type of heart disease, and it is the leading cause of death worldwide in both men and women. CAD happens when the coronary arteries become hardened and narrowed, which is due to the buildup of cholesterol-containing deposits-plaque on the inner vessel wall. As the plaque grows, less blood can flow through the arteries due to the vessel narrowing. Decreased blood flow can then lead to chest pain (angina), shortness of breath, or even a heart attack. Fractional flow reserve (FFR), a measure of blood flow reduction caused by vessel narrowing, is accepted as gold standard for assessing the functional significance of stenotic lesions. Multiple randomized trials have demonstrated that FFR has excellent diagnostic value in identifying functionally significant lesions and guiding coronary revascularization procedures. However, FFR is measured invasively through a pressure wire-based cardiac catheter procedure in the catheterization lab. Current guidelines recommend assessing myocardial ischemia of stable patients with CAD through non-invasive functional testing before considering invasive coronary angiography (ICA) or conducting myocardial revascularization. DEEPVESSEL FFR (DVFFR) is a software medical device that is designed to extract three- dimensional coronary tree structures and generate computed tomography -derived FFR values from coronary CT angiogram (CTA) images. It uses deep learning neural networks that encode imaging, structural, and functional characteristics of coronary arteries and learn complex mapping between FFR values and the encoded information. The quantitative FFR analysis based on the coronary CTA images can help clinicians assess the physiological function in patients with CAD non-invasively. The primary objective of this study is to evaluate the diagnostic performance of DVFFR software in identifying patients with significant obstructive CAD causing myocardial ischemia, using invasively measured ICA FFR as the reference standard. |
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Study Type | Observational | ||||||||
Study Design | Observational Model: Case-Only Time Perspective: Retrospective |
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Target Follow-Up Duration | Not Provided | ||||||||
Biospecimen | Not Provided | ||||||||
Sampling Method | Probability Sample | ||||||||
Study Population | Patients with suspected CAD containing at least one 30%-90% coronary CTA stenosis. | ||||||||
Condition |
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Intervention | Other: No intervention
Due to observational study
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Study Groups/Cohorts | Patients with suspected CAD containing at least one 30%-90% coronary CTA stenosis
Patients' datasets with suspected CAD containing at least one 30%-90% coronary CTA stenosis; and ICA-FFR was measured on vessels with diameters greater than 2 mm will be analyzed. Diagnostic performance based on CT-derived FFR using DVFFR software will be compared with the diagnostic performance from ICA-FFR measurements.
Intervention: Other: No intervention
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Publications * | Not Provided | ||||||||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||||||
Recruitment Status | Completed | ||||||||
Actual Enrollment |
302 | ||||||||
Original Estimated Enrollment |
300 | ||||||||
Actual Study Completion Date | December 31, 2021 | ||||||||
Actual Primary Completion Date | December 1, 2021 (Final data collection date for primary outcome measure) | ||||||||
Eligibility Criteria | Inclusion Criteria:
Exclusion Criteria: Patients with any of the following conditions at the time of CTA imaging:
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Sex/Gender |
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Ages | 18 Years and older (Adult, Older Adult) | ||||||||
Accepts Healthy Volunteers | No | ||||||||
Contacts | Contact information is only displayed when the study is recruiting subjects | ||||||||
Listed Location Countries | Austria, France, Italy, Poland, United States | ||||||||
Removed Location Countries | |||||||||
Administrative Information | |||||||||
NCT Number | NCT04828590 | ||||||||
Other Study ID Numbers | DVFFR ADAPT Study | ||||||||
Has Data Monitoring Committee | No | ||||||||
U.S. FDA-regulated Product |
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IPD Sharing Statement |
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Current Responsible Party | Keya Medical | ||||||||
Original Responsible Party | Same as current | ||||||||
Current Study Sponsor | Keya Medical | ||||||||
Original Study Sponsor | Same as current | ||||||||
Collaborators | Medical University of South Carolina | ||||||||
Investigators |
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PRS Account | Keya Medical | ||||||||
Verification Date | April 2022 |