Investigation on the application of artificial intelligence-assisted multimodal imaging in coronary CT angiography for the diagnosis of coronary&nbsp; artery anatomical malformations

doi:10.13418/j.issn.1001-165x.2026.1.16

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Chinese Journal of Clinical Anatomy ›› 2026, Vol. 44 ›› Issue (1) : 104-108. DOI: 10.13418/j.issn.1001-165x.2026.1.16

Investigation on the application of artificial intelligence-assisted multimodal imaging in coronary CT angiography for the diagnosis of coronary artery anatomical malformations

Li Qingnan¹, Yu Lu², Li Yuming¹, Sun Fengtao¹*

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Abstract

Objective To explore the application value of artificial intelligence-assisted coronary CT angiography (CCTA) multimodal imaging technology in the diagnosis of coronary artery anatomical malformations. Methods The clinical data of 161 patients who underwent coronary artery CTA examination from January 2023 to December 2024 and had coronary artery anatomical malformations were retrospectively analyzed. Artificial Intelligence (AI) Coronary Assisted Diagnosis Software was used to automatically diagnose coronary artery anatomical malformations on the CCTA imaging data, with the diagnosis of physician group as gold standard, and Kappa consistency test was used to evaluate the consistency of the diagnosis results of coronary artery anatomical malformations between AI group and physician group. Results A total of 7075 cases of coronary arteries were followed up, including 161 patients with anatomical malformations, with a prevalence rate of about 2.28%, and there was a high degree of consistency between AI group and the physicians' group in the diagnostic test results of coronary artery anatomical malformations, with a Kappa=0.967 (P<0.001). Conclusions AI has a high detection rate of coronary artery anatomical malformations, and there is a high consistency with manual diagnosis, which can better assist imaging physicians in the diagnosis of coronary artery anatomical malformations.

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Artificial intelligence (AI) / / / CT angiography / / / Coronary artery / / / Anatomical malformation

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Li Qingnan, Yu Lu, Li Yuming, Sun Fengtao. Investigation on the application of artificial intelligence-assisted multimodal imaging in coronary CT angiography for the diagnosis of coronary artery anatomical malformations[J]. Chinese Journal of Clinical Anatomy. 2026, 44(1): 104-108 https://doi.org/10.13418/j.issn.1001-165x.2026.1.16

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