Effect of Coronary Calcification Severity on Measurements and Diagnostic Performance of CT-FFR With Computational Fluid Dynamics: Results From CT-FFR CHINA Trial

被引:4
|
作者
Zhao, Na [1 ]
Gao, Yang [1 ]
Xu, Bo [2 ]
Yang, Weixian [3 ]
Song, Lei [3 ]
Jiang, Tao [4 ]
Xu, Li [4 ]
Hu, Hongjie [5 ]
Li, Lin [5 ]
Chen, Wenqiang [6 ]
Li, Dumin [7 ]
Zhang, Feng [8 ]
Fan, Lijuan [9 ]
Lu, Bin [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Dept Radiol, Fuwai Hosp, Beijing, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Fuwai Hosp, Catheterizat Labs, Beijing, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Dept Cardiol, Fuwai Hosp, Beijing, Peoples R China
[4] Capital Med Univ, Beijing Chao Yang Hosp, Dept Radiol, Beijing, Peoples R China
[5] Zhejiang Univ, Sir Run Run Shaw Hosp, Dept Radiol, Sch Med, Hangzhou, Peoples R China
[6] Shandong Univ, Dept Cardiol, Qilu Hosp, Jinan, Peoples R China
[7] Shandong Univ, Dept Radiol, Qilu Hosp, Jinan, Peoples R China
[8] Teda Int Cardiovasc Hosp, Dept Cardiol, Tianjin, Peoples R China
[9] Teda Int Cardiovasc Hosp, Dept Radiol, Tianjin, Peoples R China
来源
FRONTIERS IN CARDIOVASCULAR MEDICINE | 2022年 / 8卷
关键词
coronary computed tomography angiography; coronary artery disease; fractional flow reserve; myocardial ischemia; coronary calcification; FRACTIONAL FLOW RESERVE; COMPUTED-TOMOGRAPHY ANGIOGRAPHY; ARTERY-DISEASE; GUIDELINES; QUANTIFICATION; STENOSES;
D O I
10.3389/fcvm.2021.810625
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims: To explore the effect of coronary calcification severity on the measurements and diagnostic performance of computed tomography-derived fractional flow reserve (FFR; CT-FFR).Methods: This study included 305 patients (348 target vessels) with evaluable coronary calcification (CAC) scores from CT-FFR CHINA clinical trial. The enrolled patients all received coronary CT angiography (CCTA), CT-FFR, and invasive FFR examinations within 7 days. On both per-patient and per-vessel levels, the measured values, accuracy, and diagnostic performance of CT-FFR in identifying hemodynamically significant lesions were analyzed in all CAC score groups (CAC = 0, > 0 to <100, >= 100 to <400, and >= 400), with FFR as reference standard.Results: In total, the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under receiver operating characteristics curve (AUC) of CT-FFR were 85.8, 88.7, 86.9, 87.8, 87.1%, 0.90 on a per-patient level and 88.3, 89.3, 89.5, 88.2, 88.9%, 0.88 on a per-vessel level, respectively. Absolute difference of CT-FFR and FFR values tended to elevate with increased CAC scores (CAC = 0: 0.09 +/- 0.10; CAC > 0 to p = 0.246). However, no statistically significant difference was found in patient-based and vessel-based diagnostic performance of CT-FFR among all CAC score groups.Conclusion: This prospective multicenter trial supported CT-FFR as a viable tool in assessing coronary calcified lesions. Although large deviation of CT-FFR has a tendency to correlate with severe calcification, coronary calcification has no significant influence on CT-FFR diagnostic performance using the widely-recognized cut-off value of 0.8.
引用
收藏
页数:9
相关论文
共 24 条
  • [21] Diagnostic performance of computational fluid dynamics (CFD)-based fractional flow reserve (FFR) derived from coronary computed tomographic angiography (CCTA) for assessing functional severity of coronary lesions
    Jiang, Jun
    Du, Changqing
    Hu, Yumeng
    Yuan, Hong
    Wang, Jianhua
    Pan, Yibin
    Bao, Lifang
    Dong, Liang
    Li, Changling
    Sun, Yong
    Leng, Xiaochang
    Xiang, Jianping
    Tang, Lijiang
    Wang, Jian'an
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (03) : 1672 - 1685
  • [22] Automating fractional flow reserve (FFR) calculation from CT scans: A rapid workflow using unsupervised learning and computational fluid dynamics
    Chakshu, Neeraj Kavan
    Carson, Jason M.
    Sazonov, Igor
    Nithiarasu, Perumal
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2022, 38 (03)
  • [23] Effect of Tube Voltage on Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography With Machine Learning: Results From the MACHINE Registry
    De Geer, Jakob
    Coenen, Adriaan
    Kim, Young-Hak
    Kruk, Mariusz
    Tesche, Christian
    Schoepf, U. Joseph
    Kepka, Cezary
    Yang, Dong Hyun
    Nieman, Koen
    Persson, Anders
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (02) : 325 - 331
  • [24] Fractional Flow Reserve Computed from Noninvasive CT Angiography Data: Diagnostic Performance of an On-Site Clinician-operated Computational Fluid Dynamics Algorithm
    Coenen, Adriaan
    Lubbers, Marisa M.
    Kurata, Akira
    Kono, Atsushi
    Dedic, Admir
    Chelu, Raluca G.
    Dijkshoorn, Marcel L.
    Gijsen, Frank J.
    Ouhlous, Mohamed
    van Geuns, Robert-Jan M.
    Nieman, Koen
    RADIOLOGY, 2015, 274 (03) : 674 - 683