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

Authors
  • Yang, L1
  • Xu, L2
  • He, J3
  • Wang, Z3
  • Sun, Z4
  • Fan, Z1
  • Huo, Y5
  • Zhou, Y3
  • 1 Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China. , (China)
  • 2 Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China. Electronic address: [email protected] , (China)
  • 3 Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Rd Chaoyang District, Beijing, 100029, China. , (China)
  • 4 Department of Medical Radiation Sciences, Curtin University, Perth, WA, 6845, Australia. , (Australia)
  • 5 PKU-HKUST Shenzhen-Hongkong Institution, Shenzhen, 518057, China; Department of Mechanics and Engineering Science, College of Engineering, Peking University, 298 Chengfu Rd, Haidian District, Beijing, 100871, China. , (China)
Type
Published Article
Journal
Clinical radiology
Publication Date
Dec 01, 2019
Volume
74
Issue
12
Identifiers
DOI: 10.1016/j.crad.2019.08.007
PMID: 31537312
Source
Medline
Language
English
License
Unknown

Abstract

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). 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. 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). 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. Copyright © 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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