Follow-up With CT-FFR in CHD Patients After DCB
NCT04664439 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 92
Last updated 2023-02-08
Summary
In recent years, based on CCTA data, CT-derived fractional flow reserve (CT-FFR) developed by artificial intelligence and other technologies can provide both anatomical and functional information of coronary artery disease. Compared with CCTA alone, CT-FFR has a better ability to diagnose coronary ischemic lesions and can effectively reduce the need for unnecessary ICA, to predict revascularization more accurately.
Conditions
- Coronary; Ischemic
Interventions
- DIAGNOSTIC_TEST
-
CT-FFR
CCTA examination will be performed by qualified medical imaging technicians, and patients will be scanned with 256rows of CT, according to standard operating norms. The coronary artery physiological function evaluation software(Keya Medical Technology, Beijing, China)will be configured in the core laboratory in advance, and the relevant imaging analysts will be trained. The core laboratory will receive the CCTA inspection data and evaluate the CCTA image quality. According to the standard operation flow of the software specification, the CT-FFR analysis will be carried out on the images that meet the requirements, and the CT-FFR value of the lesions will be measured.
Sponsors & Collaborators
-
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
collaborator OTHER -
Peking Union Medical College
collaborator OTHER -
Beijing Hospital
lead OTHER_GOV
Principal Investigators
-
Xue Yu, MD · Beijing Hospital
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-06-01
- Primary Completion
- 2023-12-31
- Completion
- 2024-06-30
Countries
- China
Study Locations
More Related Trials
-
Integrated Coronary Multicenter Imaging Registry - Extended
NCT04153903 ·Status: UNKNOWN
-
Diagnostic Accuracy of CFD-Based Fractional Flow Reserve Derived From Coronary Angiography
NCT04814550 ·Status: COMPLETED
-
Coronary Computed Tomography Angiography For Optimized Invasive Coronary examInation
NCT05218694 ·Status: RECRUITING ·Phase: NA
-
Effect of FFRCT-angio in Functional Diagnosis of Coronary Artery Stenosis
NCT04493086 ·Status: UNKNOWN
-
Fractional Flow Reserve Derived From CT Related Treatment
NCT05319119 ·Status: UNKNOWN
-
Correlation of FFR CT With Invasive FFR in Multi-ethnic Cohort- a Retrospective Study
NCT06790836 ·Status: RECRUITING
-
Determination of Instantaneous Wave-Free Ratio by Computed Tomography
NCT01747031 ·Status: UNKNOWN ·Phase: NA
-
Determination of Fractional Flow Reserve by Anatomic Computed Tomographic Angiography
NCT01233518 ·Status: COMPLETED ·Phase: NA
-
OCT-based Machine Learning FFR for Predicting Post-PCI FFR
NCT06341361 ·Status: NOT_YET_RECRUITING
-
Integrated Coronary Multicenter Imaging Registry
NCT03298282 ·Status: UNKNOWN
-
Coronary Atherosclerosis Disease Early Identification and Risk Stratification by Noninvasive Imaging
NCT03518437 ·Status: UNKNOWN
-
Functional Diagnostic Accuracy of Ultrasonic Flow Ratio in Assessment of Coronary Artery Lesions
NCT06052670 ·Status: UNKNOWN
-
Evaluation of Diagnostic Accuracy, Safety, and Cost-Effectiveness of the Non-Invasive Cardiolens FFR-CT Pro Method to Measure the Fractional Flow Reserve in Diagnostics of Chronic Coronary Syndromes Versus the Standard Diagnostic Modalities.
NCT04777513 ·Status: COMPLETED
-
Functional Diagnostic Accuracy of Ultrasonic Flow Ratio in Assessment of Left Main Coronary Artery Stenosis
NCT06053944 ·Status: UNKNOWN
-
Evaluation of a Novel Non-Invasive Automated Fractional Flow Reserve Software System in Patients With Coronary Artery Disease
NCT06183294 ·Status: COMPLETED
-
Clinical Implication of 3-vessel Fractional Flow Reserve (FFR)
NCT01621438 ·Status: UNKNOWN
-
Prospective Evaluation of MyocaRdial PerFUSion ComputEd Tomography Trial
NCT02208388 ·Status: RECRUITING ·Phase: NA
-
CT-FFR for Coronary In-stent Stenosis Based on ISR-Net Algorithm
NCT05131191 ·Status: UNKNOWN
-
Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by OCT Based on Multimodal Deep Learning
NCT06544681 ·Status: NOT_YET_RECRUITING
-
Clinical Implications of Three-vessel Ultrasonic Flow Ratio Measurement in Patients With Coronary Artery Disease
NCT06822894 ·Status: RECRUITING
-
Study to Determine the Clinical Significance of Intravascular OCT-NIRAF
NCT06374498 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
CTFFR and Prediction of Non-Significant CAD Lesions
NCT06979427 ·Status: RECRUITING ·Phase: NA
-
Diagnostic Accuracy to Detect Hemodynamically Significant Stenosis by Non-invasive SURECardio CT-FFR
NCT03055780 ·Status: COMPLETED
-
RFR and FFR for the the Prediction of Post-PCI Results
NCT04417634 ·Status: UNKNOWN ·Phase: PHASE4
-
Implication of Coronary Artery Disease Burden and Pattern in Ischemia-causing Vessels With PCI
NCT04665466 ·Status: COMPLETED