The increasing utilization of cardiac computed tomography (CCT) in pediatric and congenital heart disease is attributable to advancements in imaging technology over the past decade. New-generation CT scanners have revolutionized the field by enabling the acquisition of high-resolution images with significantly reduced radiation exposure and often without the need for sedation. Prior analyses have demonstrated significantly increased CCT utilization for pediatric and CHD populations.1–3 In one pu…
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis
As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamics (CFD) or machine learning (ML) approaches. It was hypothesized that ML-based FFRCT (FFRCTML) has comparable diagnostic performance with CFD-based FFRCT (FFRCTCFD). We used invasive FFR as the reference test to evaluate the diagnostic performance of FFRCTML vs.