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dc.contributor.authorGao, X.
dc.contributor.authorWang, R.
dc.contributor.authorSun, Zhonghua
dc.contributor.authorZhang, H.
dc.contributor.authorBo, K.
dc.contributor.authorXue, X.
dc.contributor.authorYang, J.
dc.contributor.authorXu, L.
dc.identifier.citationGao, X. and Wang, R. and Sun, Z. and Zhang, H. and Bo, K. and Xue, X. and Yang, J. et al. 2023. A Novel CT Perfusion-Based Fractional Flow Reserve Algorithm for Detecting Coronary Artery Disease. Journal of Clinical Medicine. 12 (6): 2154.

Background: The diagnostic accuracy of fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA) (FFR-CT) needs to be further improved despite promising results available in the literature. While an innovative myocardial computed tomographic perfusion (CTP)-derived fractional flow reserve (CTP-FFR) model has been initially established, the feasibility of CTP-FFR to detect coronary artery ischemia in patients with suspected coronary artery disease (CAD) has not been proven. Methods: This retrospective study included 93 patients (a total of 103 vessels) who received CCTA and CTP for suspected CAD. Invasive coronary angiography (ICA) was performed within 2 weeks after CCTA and CTP. CTP-FFR, CCTA (stenosis ≥ 50% and ≥70%), ICA, FFR-CT and CTP were assessed by independent laboratory experts. The diagnostic ability of the CTP-FFR grouped by quantitative coronary angiography (QCA) in mild (30–49%), moderate (50–69%) and severe stenosis (≥70%) was calculated. The effect of calcification of lesions, grouped by FFR on CTP-FFR measurements, was also assessed. Results: On the basis of per-vessel level, the AUCs for CTP-FFR, CTP, FFR-CT and CCTA were 0.953, 0.876, 0.873 and 0.830, respectively (all p < 0.001). The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of CTP-FFR for per-vessel level were 0.87, 0.88, 0.87, 0.85 and 0.89 respectively, compared with 0.87, 0.54, 0.69, 0.61, 0.83 and 0.75, 0.73, 0.74, 0.70, 0.77 for CCTA ≥ 50% and ≥70% stenosis, respectively. On the basis of per-vessel analysis, CTP-FFR had higher specificity, accuracy and AUC compared with CCTA and also higher AUC compared with FFR-CT or CTP (all p < 0.05). The sensitivity and accuracy of CTP-FFR + CTP + FFR-CT were also improved over FFR-CT alone (both p < 0.05). It also had improved specificity compared with FFR-CT or CTP alone (p < 0.01). A strong correlation between CTP-FFR and invasive FFR values was found on per-vessel analysis (Pearson’s correlation coefficient 0.89). The specificity of CTP-FFR was higher in the severe calcification group than in the low calcification group (p < 0.001). Conclusions: A novel CTP-FFR model has promising value to detect myocardial ischemia in CAD, particularly in mild-to-moderate stenotic lesions.

dc.publisherMDPI AG
dc.subject1102 - Cardiorespiratory Medicine And Haematology
dc.subject3201 - Cardiovascular medicine and haematology
dc.titleA Novel CT Perfusion-Based Fractional Flow Reserve Algorithm for Detecting Coronary Artery Disease
dc.typeJournal Article
dcterms.source.titleJournal of Clinical Medicine
curtin.departmentCurtin Medical School
curtin.accessStatusOpen access
curtin.facultyFaculty of Health Sciences
curtin.contributor.orcidSun, Zhonghua [0000-0002-7538-4761]
curtin.contributor.researcheridSun, Zhonghua [B-3125-2010]
curtin.contributor.scopusauthoridSun, Zhonghua [12544503300]

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