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Authors
Luo, Ting-Ting
Yang, Li
Chen, Jie
Wu, Zi-Wen
Chang, Jie
Zhang, Yan-Tao
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Funding
Funding for this research was provided by:
Key Project of Natural Science Foundation of Anhui Province for College Scholar (2023AH051739)
Key Project of Natural Science Foundation of Anhui Province for College Scholar (2024AH053451)
Quality Engineering Program of Anhui Province (2024aijy315)
Natural Science Foundation of Anhui Province in China under Grant (2508085QF248)
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Article History
Received: 25 November 2025
Accepted: 31 March 2026
First Online: 6 April 2026
Declarations
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: The authors declare no competing interests.
: This study combined idealized computational models of coronary artery stenosis with secondary analysis of de-identified coronary computed tomography angiography (CTA) data. The clinical imaging data were obtained from the publicly available CTCA dataset published by Gharleghi et al. 30 and were fully anonymized before release. No new imaging examinations were performed and no additional patient recruitment was undertaken for the present work.As reported by Gharleghi et al. 30 , the images and associated patient information were collected with informed, written consent as part of the Coronary Atlas project and under approval from the relevant institutional ethics committees, in accordance with applicable guidelines and regulations. The current study involved only secondary analysis of these anonymized data together with computational modelling; in line with the policies of Wannan Medical College, such secondary analysis of publicly available, de-identified data does not require additional ethical approval or new informed consent from individual participants. All methods were carried out in accordance with relevant guidelines and regulations.
