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Research paper| Volume 16, ISSUE 6, P509-516, November 2022

Comparison of coronary CT angiography-based and invasive coronary angiography-based quantitative flow ratio for functional assessment of coronary stenosis: A multicenter retrospective analysis

  • Author Footnotes
    1 The first two authors equally contributed.
    Zehang Li
    Footnotes
    1 The first two authors equally contributed.
    Affiliations
    Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shanghai Med-X Engineering Research Center, Shanghai Jiao Tong University, Shanghai, China
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  • Author Footnotes
    1 The first two authors equally contributed.
    Guanyu Li
    Footnotes
    1 The first two authors equally contributed.
    Affiliations
    Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shanghai Med-X Engineering Research Center, Shanghai Jiao Tong University, Shanghai, China
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  • Liudan Chen
    Affiliations
    Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
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  • Daixin Ding
    Affiliations
    The Lambe Institute for Translational Medicine and Curam, National University of Ireland, Galway, Ireland
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  • Yankai Chen
    Affiliations
    Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shanghai Med-X Engineering Research Center, Shanghai Jiao Tong University, Shanghai, China
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  • Jiayin Zhang
    Affiliations
    Department of Radiology, Shanghai Jiao Tong University Affiliated First People's Hospital, Shanghai, China
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  • Lei Xu
    Affiliations
    Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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  • Takashi Kubo
    Affiliations
    Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan
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  • Su Zhang
    Affiliations
    Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shanghai Med-X Engineering Research Center, Shanghai Jiao Tong University, Shanghai, China
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  • Yining Wang
    Correspondence
    Corresponding author. No. 1, Shuaifuyuan, Dongcheng District, Beijing 100730, China.
    Affiliations
    Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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  • Xuhui Zhou
    Correspondence
    Corresponding author. Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518036, China.
    Affiliations
    Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
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  • Shengxian Tu
    Correspondence
    Corresponding author. Med-X Research Institute, Room 123, No. 1954, Hua Shan Road, Shanghai 200030, China.
    Affiliations
    Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shanghai Med-X Engineering Research Center, Shanghai Jiao Tong University, Shanghai, China
    Search for articles by this author
  • Author Footnotes
    1 The first two authors equally contributed.

      Abstract

      Background

      The aim of this study was to evaluate the diagnostic performance of coronary CT angiography (CTA)-based quantitative flow ratio (QFR), namely CT-QFR, and compare it with invasive coronary angiography (ICA)-based Murray law QFR (μQFR), using fractional flow reserve (FFR) as the reference standard.

      Methods

      Patients who underwent coronary CTA, ICA and pressure wire-based FFR assessment within two months were retrospectively analyzed. CT-QFR and μQFR were computed in blinded fashion and compared with FFR, all applying the same cut-off value of ≤0.80 to identify hemodynamically significant stenosis.

      Results

      Paired comparison between CT-QFR and μQFR was performed in 191 vessels from 167 patients. Average FFR was 0.81 ​± ​0.10 and 42.4% vessels had an FFR ≤0.80. CT-QFR had a slightly lower correlation with FFR compared with μQFR, although statistically non-significant (r ​= ​0.87 versus 0.90, p ​= ​0.110). The vessel-level diagnostic performance of CT-QFR was slightly lower but without statistical significance than μQFR (AUC ​= ​0.94 versus 0.97, difference: −0.03 [95%CI: −0.00-0.06], p ​= ​0.095), and substantially higher than diameter stenosis by CTA (AUC difference: 0.17 [95%CI: −0.10-0.23], p ​< ​0.001). The patient-level diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio for CT-QFR to identify FFR value ​≤ ​0.80 was 88%, 90%, 86%, 86%, 91%, 6.59 and 0.12, respectively. The diagnostic accuracy of CT-QFR was 84% in extensively calcified lesions, while in vessels with no or less calcification, CT-QFR showed a comparable diagnostic accuracy with μQFR (91% versus 92%, p ​= ​0.595). Intra- and inter-observer variability in CT-QFR analysis was −0.00 ​± ​0.04 and 0.00 ​± ​0.04, respectively.

      Conclusions

      Performance in diagnosis of hemodynamically significant coronary stenosis by CT-QFR was slightly lower but without statistical significance than μQFR, and substantially higher than CTA-derived diameter stenosis. Extensively calcified lesions reduced the diagnostic accuracy of CT-QFR.

      Keywords

      Abbreviations:

      CABG (coronary artery bypass grafting), CAD (coronary artery disease), CFD (computational fluid dynamics), CTA (CT angiography), CT-QFR (CTA-derived quantitative flow ratio), DS% (percent diameter stenosis), FFR (fractional flow reserve), FFRct (CT-derived fractional flow reserve), ICA (invasive coronary angiography), LAD (left anterior descending artery), PCI (percutaneous coronary intervention), QFR (quantitative flow ratio), μQFR (invasive coronary angiography-based Murray law QFR)
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