2022
DOI: 10.21037/atm-22-3180
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Diagnostic performance of coronary computed tomography (CT) angiography derived fractional flow reserve (CTFFR) in patients with coronary artery calcification: insights from multi-center experiments in China

Abstract: Background: Coronary computed tomography angiography (CCTA) is affected by calcification artifacts, which reduces its diagnostic efficacy. CT-derived fractional flow reserve (CTFFR) based on CCTA has been proven to be accurate in the diagnosis of non-calcified patients, but its clinical use in patients with calcified coronary artery disease remains to be investigated. The purpose of this study was to determine the effect of coronary artery calcification on CTFFR.Methods: CCTA, coronary angiography, and FFR wer… Show more

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Cited by 6 publications
(1 citation statement)
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“…Compared with invasively measured fractional flow reserve (FFR), CFD model-based CT-FFR showed very high diagnostic performance in all lesions suspected of coronary artery disease (CAD), according to a Chinese multicenter study. In particular, the high specificity, sensitivity, and accuracy of CT-FFR, even in patients with calcifications, are significantly superior to previous CCTA assessments [ 134 ]. In addition, CFD modeling can also generate equations of fluid dynamics based on the geometry and fluid parameters of the patient’s vessels [ 116 ].…”
Section: Blood Flow Imaging Technology Based On Fluid Dynamicsmentioning
confidence: 99%
“…Compared with invasively measured fractional flow reserve (FFR), CFD model-based CT-FFR showed very high diagnostic performance in all lesions suspected of coronary artery disease (CAD), according to a Chinese multicenter study. In particular, the high specificity, sensitivity, and accuracy of CT-FFR, even in patients with calcifications, are significantly superior to previous CCTA assessments [ 134 ]. In addition, CFD modeling can also generate equations of fluid dynamics based on the geometry and fluid parameters of the patient’s vessels [ 116 ].…”
Section: Blood Flow Imaging Technology Based On Fluid Dynamicsmentioning
confidence: 99%