Clinical Effectiveness of Automated Coronary CT-derived Fractional Flow Reserve: A Chinese Randomized Controlled Trial
Background Coronary CT-derived fractional flow reserve (CT-FFR) has been used in patients with suspected coronary artery disease (CAD); however, whether it decreases invasive coronary angiography (ICA) use and affects prognosis remains insufficiently evidenced. Purpose To explore the effectiveness of adding CT-FFR to routine coronary CT angiography (CCTA) on short-term ICA rate and major adverse cardiovascular events (MACE) in a Chinese setting. Materials and Methods A multicenter randomized controlled trial was conducted in 17 Chinese centers, with patient inclusion from May 2021 to September 2021. Eligible individuals with 25%-99% stenosis at CCTA were randomly assigned 1:1 to a strategy of CCTA plus automated CT-FFR or CCTA alone for guiding downstream care. The primary end point was the ICA rate 90 days after enrollment. Secondary end points included 90-day and 1-year MACE rates (comprised of all-cause mortality, nonfatal myocardial infarction, and urgent revascularization) and 1-year cardiac events (comprised of cardiac death, nonfatal myocardial infarction, and urgent revascularization). The Cox proportional hazards model with center effect adjustment was used for survival comparisons. Results A total of 5297 participants (mean age, 63.5 years ± 10.8 [SD]; 3178 male) were included. During the 90-day follow-up, ICA was performed in 263 of 2633 participants (10.0%) in the CCTA plus CT-FFR group and 327 of 2640 participants (12.4%) in the CCTA-alone group (absolute rate difference: -2.40%; 95% CI: -4.10, -0.70; <i>P</i> = .006). The MACE rates at 90 days (0.5% [12 of 2633 participants] vs 0.8% [21 of 2640 participants]; <i>P</i> = .12) and 1 year (2.9% [74 of 2546 participants] vs 2.8% [72 of 2531 participants]; <i>P</i> = .90) were similar for both groups. At 1-year follow-up, fewer cardiac events were observed in the CCTA plus CT-FFR group compared with the CCTA-alone group (0.5% vs 1.1%; adjusted hazard ratio: 0.52; 95% CI: 0.27, 0.99; <i>P</i> = .047). Conclusion CT-FFR added to CCTA led to a lower 90-day ICA rate and similar 1-year MACE rate in a Chinese real-world setting. Further follow-up is warranted to demonstrate the long-term prognostic value of this management approach. © RSNA, 2024 <i>Supplemental material is available for this article.</i> See also the editorial by Pundziute-do Prado in this issue.
Authors
- Wenhui Diao (ORCID: https://orcid.org/0000-0002-3931-3974)
- Yunfei Zha (ORCID: https://orcid.org/0000-0002-8714-7472)
- Chang Yin (ORCID: https://orcid.org/0000-0001-5900-0804)
- Qian Chen (ORCID: https://orcid.org/0009-0006-2281-0719)
- Wei Xing (ORCID: https://orcid.org/0000-0003-4842-0808)
- Jinggang Zhang (ORCID: https://orcid.org/0000-0001-6590-9790)
- Hongmei Gu (ORCID: https://orcid.org/0000-0002-8572-5435)
- Shudong Hu (ORCID: https://orcid.org/0000-0002-4454-3432)
- Peng Xu (ORCID: https://orcid.org/0000-0002-5163-1529)
- Shu Min Tao (ORCID: https://orcid.org/0000-0002-7374-7063)
- X. Li (ORCID: https://orcid.org/0000-0002-9084-1254)
- Xindao Yin (ORCID: https://orcid.org/0000-0001-6958-5201)
- Long Jiang Zhang (ORCID: https://orcid.org/0000-0002-6664-7224)
- Ying E. Zhang (ORCID: https://orcid.org/0000-0003-2753-7601)
- Mengmeng Zhu (ORCID: https://orcid.org/0000-0002-5161-813X)
- Hongyan Qiao (ORCID: https://orcid.org/0000-0002-4833-4662)
- Jian Zhong (ORCID: https://orcid.org/0000-0002-5998-250X)
- Bangjun Guo (ORCID: https://orcid.org/0000-0002-5142-3252)
- Guangming Lu (ORCID: https://orcid.org/0000-0003-4913-2314)
- Meng Chen (ORCID: https://orcid.org/0000-0002-1034-9279)
- Yongyue Wei (ORCID: https://orcid.org/0000-0002-1132-1796)
- Tao Zhang (ORCID: https://orcid.org/0000-0003-1048-4443)
- Jinhua Zhang (ORCID: https://orcid.org/0000-0001-8957-8893)
- Chunhong Hu (ORCID: https://orcid.org/0000-0003-1292-9370)
- Yi Xu (ORCID: https://orcid.org/0000-0002-3936-216X)
- Fan Zhou (ORCID: https://orcid.org/0000-0003-1497-4415)
- Wei Cao (ORCID: https://orcid.org/0000-0002-2755-7023)
- Rui Xia (ORCID: https://orcid.org/0000-0002-6899-6735)
- Chang Sheng Zhou (ORCID: https://orcid.org/0000-0001-6684-6736)
- Yueqin Chen (ORCID: https://orcid.org/0000-0003-0858-5720)
- Chun Xiang Tang (ORCID: https://orcid.org/0000-0002-0592-7898)
- Yunfeng Zhou (ORCID: https://orcid.org/0000-0001-5260-3071)
- Rongpin Wang (ORCID: https://orcid.org/0000-0001-7587-4181)
- Yuxiu Liu (ORCID: https://orcid.org/0000-0003-3070-4693)
- Xiao Lei Zhang (ORCID: https://orcid.org/0000-0002-4272-9356)
- Baojun Xie
- Yibing Shi (ORCID: https://orcid.org/0000-0003-4954-313X)
- Meng Jie Lu (ORCID: https://orcid.org/0000-0003-4788-7668)
- Wen Jie Zhang (ORCID: https://orcid.org/0009-0007-6671-0637)
- Meng Jiang
- Fajin Lv
- Yongsheng He (ORCID: https://orcid.org/0000-0002-5685-7746)
- Jian Hua Li
- Chun Yu Liu
- Wenjun Li
- Xinfeng Liu
Institutions
- Soochow University (CN)
Publication Details
- Journal
- Radiology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1148/radiol.233354
- Citations
- 18
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 7.28
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China