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Volume 46 Issue 5
Sep.  2023
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Article Navigation >  Journal of Molecular Imaging  > 2023  >  46(5): 779-786
JI Xinqiang, ZHAO Runtao, SHAN Dongkai, LIU Zinuan, WANG Xi, LI Tao, YANG Junjie, WANG Fan. Global trans-lesional computed tomography-derived fractional flow reserve can predict abnormal myocardial blood flow: based on coronary artery CT angiography[J]. Journal of Molecular Imaging, 2023, 46(5): 779-786. doi: 10.12122/j.issn.1674-4500.2023.05.01
Citation: JI Xinqiang, ZHAO Runtao, SHAN Dongkai, LIU Zinuan, WANG Xi, LI Tao, YANG Junjie, WANG Fan. Global trans-lesional computed tomography-derived fractional flow reserve can predict abnormal myocardial blood flow: based on coronary artery CT angiography[J]. Journal of Molecular Imaging, 2023, 46(5): 779-786. doi: 10.12122/j.issn.1674-4500.2023.05.01
shu

Global trans-lesional computed tomography-derived fractional flow reserve can predict abnormal myocardial blood flow: based on coronary artery CT angiography

doi: 10.12122/j.issn.1674-4500.2023.05.01
  • 1.

    Medical School of Chinese PLA, Chinese PLA General Hospital, Beijing 100853, China

  • 2.

    Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100048, China

  • 3.

    Department of Radiology, the First Medical Center, Beijing 100853, China

  • 4.

    Department of Cardiology, the Second Medical Center, Beijing 100853, China

Funds:

National Key R&D Program of China 2021YFC2500505

  • Received Date: 2023-05-15
    Available Online: 2023-10-20
  • Publish Date: 2023-09-20
    Abstract
  •   Objective  To assess the predictive capability of GlobalΔCT-FFR in determining abnormal myocardial blood flow through an examination of the correlation between GlobalΔCT-FFR and myocardial blood flow.  Methods  A retrospective inclusion was conducted on a cohort of 76 patients who underwent dynamic computed tomographic myocardial perfusion + coronary computed tomographic angiography between 2019 and 2021, as a result of suspected coronary artery disease. The relationship between GlobalΔCT-FFR and myocardial blood flow (MBF) was assessed using Univariate Spearman correlation. We were assessed the sensitivity, specificity, diagnostic accuracy, positive predictive value, and negative predictive value of GlobalΔCT-FFR, CT-FFR and coronary computed tomographic angiography diameter stenosis (DS) for myocardial blood flow abnormalities at both per-patient and per-vessel level, utilizing MBF as a reference standard. The ROC curve was constructed, and the area under the curve (AUC) was calculated.  Results  At the per-patient level, there was a moderate negative correlation between GlobalΔCT-FFR and mean MBF (r=-0.51, P < 0.05), CT-FFR exhibited a weak positive correlation with mean MBF (r=0.33, P < 0.05). At the per-vessel level, GlobalΔCT-FFR showed a moderate negative correlation with mean MBF (r=-0.47, P < 0.05), CT-FFR demonstrated a weak positive correlation with mean MBF (r=0.39, P < 0.05). At the per-patient level, the AUC for GlobalΔCT-FFR, CT-FFR, and DS was found to be 0.82(95%CI: 0.72-0.90, P < 0.05), 0.71(95% CI: 0.59-0.81, P < 0.05) and 0.65(95% CI: 0.53-0.76, P < 0.05), respectively. At the per-vessel level, the AUC for GlobalΔCT-FFR, CT-FFR, and DS was determined to be 0.81(95% CI: 0.75-0.86, P < 0.05), 0.78(95% CI: 0.72-0.83, P < 0.05) and 0.71(95% CI: 0.65-0.77: P < 0.05), respectively. In the evaluation of ROC curves, GlobalΔCT-FFR exhibited superior performance compared to CT-FFR and DS in per-patient analysis (P=0.0471, P < 0.0001). In per-vessel analysis, GlobalΔCT-FFR demonstrated similar performance to CT-FFR and DS (P=0.5237, P=0.0530).  Conclusion  The diagnostic performance of GlobalΔCT-FFR in predicting abnormal myocardial blood flow has been confirmed, suggesting its potential as an alternative indicator for quantitatively measuring myocardial blood flow.

     

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