Abstract:
Objective To investigate the application value of artificial intelligence (AI)-assisted CT angiography (CTA) in diagnosing and treating intracranial aneurysms in Tibet.
Methods The author retrospectively reviewed 26 patients diagnosed with intracranial aneurysms admitted to the Department of Neurosurgery of Lhasa People's Hospital from October 2021 to April 2022. All patients underwent CTA examination within 24 hours after admission. The data were reconstructed using both AI-assisted and manual methods for 3D reconstruction of cerebral blood vessels, respectively. The variables of reconstruction time, diagnostic accuracy, and image quality between two groups were compared. Independent samples t-test was used for continuous variables, and chi-square test for categorical samples.
Results The diagnostic accuracy of the aneurysm was 92.3%(24/26) in the AI group and 96.2%(25/26) in the manual group, reaching no significant difference between two groups (P＞0.05). The time interval required for CTA reconstruction was 24.2±11.8 minutes in the AI-assisted group, which was significantly lower than 94.7±42.0 minutes in the manual group (t=-8.82, P＜0.001). The reconstruction quality score of the AI group was 4.53±0.58, and that of the manual group was 3.46±0.94. The AI group was significantly better than the artificial group (t=4.24, P<0.001).
Conclusion AI-assisted CTA cerebral vascular reconstruction imaging technology is faster than manual reconstruction, and shows more satisfactory aneurysm condition, which is suitable for promotion in primary hospitals.
Key words:
Intracranial aneurysm,
Subarachnoid hemorrhage,
Artificial intelligence,
CT vascular imaging
Yongpeng Fu, La ba suo lang, Qiang Ma, Qunchao Chen, Yufeng Zheng, Hong Wu, Yuanjie Zheng, Jing Hu, Tao Yu, Dong Zhang. Application of artificial intelligence-assisted vascular reconstruction in diagnosis of intracranial aneurysms in Tibet[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2023, 17(01): 26-30.