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Clinical Outcomes of CT-FFR Versus QFR-guided Strategy for Decision-Making in Patients With Stable Chest Pain
Sponsor: Shanghai Zhongshan Hospital
Summary
This study is a multicenter, prospective, blinded (blinding of clinical evaluators), randomized controlled, event-driven non-inferiority clinical trial. Eligible subjects who meet the inclusion criteria will be registered in the central randomization system and randomized in a 1:1 ratio to either the experimental group (CT-FFR guided group) or the control group (QFR guided group).
Official title: Clinical Outcomes of CoroNary CTA-Derived FFR Versus ICA-Derived QFR-guided Strategy for Decision-Making in Patients With Stable Chest Pain
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
4648
Start Date
2023-05
Completion Date
2028-05
Last Updated
2023-05-15
Healthy Volunteers
No
Conditions
Interventions
CT-FFR
CT -FFR(coronary computed tomography angiography drived fractional flow reserve derived) uses routine coronary computed tomography angiography (CTA) images and applies a specific algorithm to extract both anatomical and physiological information of the coronary arteries. By combining these two pieces of information, a fluid dynamics model of the coronary arteries can be established, allowing the calculation of FFR at any location of the coronary arteries.
QFR
Quantitative flow ratio (QFR) is a new method for evaluating the functional significance of coronary artery stenosis based on angiography. It can be used for real-time detection of hemodynamic abnormalities in the coronary arteries in the catheterization lab. Unlike traditional methods that require the use of pressure wires and vasodilators such as adenosine, the QFR examination process only requires routine coronary angiography. By reconstructing the three-dimensional structure of the blood vessels and analyzing the hemodynamics, the QFR can evaluate the fractional flow reserve (FFR) without the need for pressure wires and vasodilators.
Locations (1)
Zhongshan Hospital, Fudan University
Shanghai, Shagnhai, China