A 2-year investigation of the impact of the computed tomography–derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management

2021 ◽  
Author(s):  
Xin Liu ◽  
Xukai Mo ◽  
Heye Zhang ◽  
Guang Yang ◽  
Changzheng Shi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Decision Making ◽  
Deep Learning ◽  
Learning Algorithm ◽  
Fractional Flow ◽  
Deep Learning Algorithm ◽  
Flow Reserve ◽  
Artery Disease ◽  
The Impact

scholarly journals Noninvasive Assessment of Coronary Artery Disease: Fractional Flow Reserved Derived from Coronary Computed Tomography Angiography (FFRCT)

2016 ◽  
Vol 1 (2) ◽  
pp. 137-141
Author(s):  
Mihaela Rațiu ◽  
Nora Rat ◽  
Sebastian Condrea ◽  
Alexandra Stănescu ◽  
Diana Opincariu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Computed Tomography Angiography ◽  
Coronary Computed Tomography Angiography ◽  
Fractional Flow ◽  
Coronary Computed Tomography ◽  
Flow Reserve ◽  
Artery Disease ◽  
The Impact

AbstractInvasive coronary angiography (ICA) completed by fractional flow reserve (FFR) assessment represents the main procedure that is performed in the decision process for coronary revascularization. Coronary Computed Tomography Angiography (CCTA) is an effective method used in the noninvasive anatomic assessment of coronary artery disease (CAD). However, CCTA tends to overestimate and does not offer hemodynamic data about the coronary lesions. Recent progresses made in the research involving computational fluid dynamics and image modeling permit the evaluation of FFRCT noninvasively, using data obtained in a standard CCTA. Studies have shown an improved precision and discrimination of FFRCT compared to CCTA for the diagnosis of significant coronary artery stenosis. In this review, we aimed to summarize the role of CCTA in CAD evaluation, the impact of FFRCT, the scientific basis of this novel method and its potential clinical applications.

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