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Ma Z, Tu C, Zhang B, Zhang D, Song X, Zhang H. A meta-analysis comparing the diagnostic performance of computed tomography-derived fractional flow reserve and coronary computed tomography angiography at different levels of coronary artery calcium score. Eur Radiol 2024:10.1007/s00330-024-10591-0. [PMID: 38334761 DOI: 10.1007/s00330-024-10591-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 09/30/2023] [Accepted: 11/30/2023] [Indexed: 02/10/2024]
Abstract
OBJECTIVES The impact of coronary calcification on the diagnostic accuracy of computed tomography-derived fractional flow reserve (CT-FFR) and coronary computed tomography angiography (CCTA) remains a crucial consideration. This meta-analysis aims to compare the diagnostic performance of CT-FFR and CCTA at different levels of coronary artery calcium score (CACS). METHODS AND RESULTS We searched PubMed, Embase, and the Cochrane Library for relevant articles on CCTA, CT-FFR, and invasive fractional flow reserve (FFR). Ten studies were included to evaluate the diagnostic performance of CT-FFR and CCTA at the per-patient and per-vessel levels in four CACS groups. Invasive FFR was used as the reference standard. Except for the CACS ≥ 400 group, the AUC of CT-FFR was higher than those of CCTA in other subgroups of CACS (in CACS < 100 (per-patient, 0.9 (95% CI 0.87-0.92) vs. 0.32 (95% CI 0.28-0.36); per-vessel, 0.92 (95% CI 0.89-0.94) vs. 0.66 (95% CI 0.62-0.7); both p < 0.001), CACS ≥ 100 (per-patient, 0.86 (95% CI 0.82-0.88) vs. 0.44 (95% CI 0.4-0.48); per-vessel, 0.88 (95% CI 0.85-0.9) vs. 0.51 (95% CI 0.46-0.55); both p < 0.001), and CACS < 400 (per-patient, 0.9 (95% CI 0.87-0.93) vs. 0.74 (95% CI 0.7-0.78), p < 0.001; per-vessel, 0.8 (95% CI 0.76-0.83) vs. 0.74 (95% CI 0.7-0.78); p = 0.02)). CONCLUSIONS CT-FFR demonstrates superior diagnostic performance in low CACS groups (CACS < 400) than CCTA in detecting hemodynamic stenoses in patients with coronary artery disease (CAD). CLINICAL RELEVANCE STATEMENT Computed tomography-derived fractional flow reserve might be utilized to determine the necessity of invasive coronary angiography in coronary artery disease patients with coronary artery calcium score < 400. KEY POINTS • There is a lack of meta-analysis comparing the diagnostic performance of computed tomography-derived fractional flow reserve and coronary computed tomography angiography at different levels of calcification. • Computed tomography-derived fractional flow reserve only has a better diagnostic performance than coronary computed tomography angiography with low amounts of coronary calcium. • For the low coronary artery calcium score group, computed tomography-derived fractional flow reserve might be a good non-invasive method to detect hemodynamic stenoses in coronary artery disease patients.
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Affiliation(s)
- Zhao Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, People's Republic of China
| | - Chenchen Tu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, People's Republic of China
| | - Baoen Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, People's Republic of China
| | - Dongfeng Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, People's Republic of China.
| | - Xiantao Song
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, People's Republic of China.
| | - Hongjia Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, People's Republic of China
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Qiao J, Li S, Yang H, Chen X, Zhu T, Li Q, Wan W, Xu Y, Ge B, Zhao Y, Tang Y, Li F, He Y, Xia L. Subtraction Improves the Accuracy of Coronary CT Angiography in Patients with Severe Calcifications in Identifying Moderate and Severe Stenosis: A Multicenter Study. Acad Radiol 2023; 30:2801-2810. [PMID: 36586762 DOI: 10.1016/j.acra.2022.11.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 11/06/2022] [Accepted: 11/27/2022] [Indexed: 12/30/2022]
Abstract
RATIONALE AND OBJECTIVES To investigate the diagnostic accuracy of subtraction coronary computed tomographic angiography (CCTAsub) in identifying ≥ 50% and ≥ 70% coronary stenosis in patients with different degrees of calcification. MATERIALS AND METHODS In this study, 180 patients with coronary calcified plaques who underwent both coronary CT angiography and invasive coronary angiography (ICA) were prospectively enrolled at five centers. Patients were divided into three groups according to the Agatston score: group A (low to moderate, < 400), group B (high, 400-999), and group C (very high, ≥ 1000). Diagnostic accuracies estimated by area under the receiver operating characteristic curve (AUC) were compared between conventional CCTA (CCTAcon) and CCTAsub, with ICA as a reference standard. RESULTS There were 86 patients in group A, 44 in group B, and 50 in group C. In identifying ≥ 70% coronary stenosis, subtraction improved the diagnostic accuracies on a per-segment basis in group B (AUC: 0.80 vs 0.92, p = 0.001) and group C (AUC: 0.75 vs 0.84, p = 0.001) after subtraction. When identifying ≥ 50% coronary stenosis, the per-segment AUC of CCTAsub in group B and C were significantly higher than that in CCTAcon (group B: 0.81 vs 0.92, p < 0.001; group C: 0.77 vs 0.88, p < 0.001). However, no improvement was observed in group A. CONCLUSION Subtraction achieved better diagnostic accuracy in patients with Agatston score ≥ 400, both in identifying ≥ 50% and ≥ 70% coronary stenosis, which was instructive for the application of subtraction in clinical practice.
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Affiliation(s)
- Jinhan Qiao
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Li
- Department of Radiology, People's Hospital, Hubei University of Medicine, Shiyan, China
| | - Hongzhi Yang
- Department of Radiology, Xidian Group Hospital, Xi'an, China
| | - Xiaolong Chen
- Image Center Shaanxi Provincial People's Hospital, Xi'an, China
| | - Tingting Zhu
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qian Li
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijia Wan
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinghao Xu
- Canon Medical Systems (China) CO.,LTD., Building 205, Yard NO.A10, JiuXianQiao North Road, ChaoYang District, 100015, Beijing
| | - Bing Ge
- Canon Medical Systems (China) CO.,LTD., Building 205, Yard NO.A10, JiuXianQiao North Road, ChaoYang District, 100015, Beijing
| | - Yun Zhao
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Tang
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fang Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Bejing, China; Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, China.
| | - Yi He
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Bejing, China.
| | - Liming Xia
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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