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Diagnostic performance of a fast non-invasive fractional flow reserve derived from coronary CT angiography: an initial validation study

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收录情况： ◇ SCIE

作者：

机构： [a]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China [b]Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China [c]Department of Medical Radiation Sciences, Curtin University, Perth, WA, 6845, Australia [d]PKU-HKUST Shenzhen-Hongkong Institution, Shenzhen, 518057, China [e]Department of Mechanics and Engineering Science, College of Engineering, Peking University, 298 Chengfu Rd, Haidian District, Beijing, 100871, China

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AIM: To validate the computed tomography (CT)-derived fractional flow reserve (FFRCT) that was computed by new, fast, automatic software and to compare the diagnostic accuracy between FFRCT and stenosis diagnosed at coronary CT angiography (CCTA). MATERIALS AND METHODS: A total of 110 patients (76 males, 59±9 years) and 125 vessels underwent CCTA. FFRCT was computed by fast automatic software and compared with invasive FFR. The diagnostic performance between FFRCT and CCTA-diagnosed stenosis were compared on the per-patient and per-vessel level. RESULTS: The computational time of FFRCT is 10±5 minutes (averaged over 125 vessels). The FFRCT has a good correlation with invasive FFR (r=0.59, p<0.0001) with a small bias of –0.02 (–0.26–0.23). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of FFRCT were 76.5, 89.5, 89.7, and 76.1% on a vessel level. The area under the receiver operating characteristic curve of FFRCT was higher than CCTA-diagnosed stenosis (0.82 versus 0.72, P=0.034). CONCLUSION: The computation of FFRCT is possible and reliable when using the new, fast, automatic software first employed in the present clinical study. The FFRCT has a good correlation with invasive FFR and provides better diagnostic performance than CCTA-diagnosed stenosis. © 2019 The Royal College of Radiologists

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出版当年[2018]版：

大类 | 4 区医学

小类 | 3 区核医学

最新[2023]版：

大类 | 3 区医学

小类 | 3 区核医学

JCR分区：

出版当年[2017]版：

Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

最新[2023]版：

Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 2.1 最新[2023版] 2.2 最新五年平均 2.282 出版当年[2017版] 2.057 出版当年五年平均 2.141 出版前一年[2016版] 2.082 出版后一年[2018版]

第一作者：

第一作者机构： [a]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China

通讯作者：

通讯机构： [a]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China [*1]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd, Chaoyang District, Beijing, 100029, China.

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