Feasibility study of the post process of CTA on head and neck based on AI deep learning on stenosis assessment
10.3969/j.issn.1672-8270.2024.10.010
- VernacularTitle:基于人工智能深度学习头颈部计算机断层血管造影后处理对狭窄评估的可行性研究
- Author:
Miao DUAN
1
;
Lianjun YANG
;
Zechun GUO
;
Yan ZHANG
;
Jialin CHEN
;
Feng WANG
;
Li ZHANG
Author Information
1. 北京中医医院顺义医院放射科 北京 101300
- Keywords:
Artificial intelligence(AI)deep learning;
Head and neck;
Computed tomography angiography(CTA);
Post process;
Stenosis assessment
- From:
China Medical Equipment
2024;21(10):51-55
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the feasibility of the post process of computed tomography angiography(CTA)on head and neck based on artificial intelligence(AI)deep learning on stenosis assessment.Methods:A total of 108 patients who underwent CTA on head and neck at Shunyi Hospital of Beijing Traditional Chinese Medicine Hospital from January 2022 to June 2023 were selected,and they were divided into an AI group(54 cases)and a manual group(54 cases)based on different diagnostic methods.Dual source CT was used to conduct examination,and data was transmitted to"Shenrui Dr.Wise Head and Neck CTA Intelligent Assistance System"and"Siemens Syngo View Post Process Workstation".The image evaluation was conducted on a 5-point scale.The time-consuming of post process and diagnosis of CTA images of the artery of head and neck between two groups were observed and compared,and the quality of CTA images of the artery of head and neck,and the diagnostic results of the degree of the artery stenosis of head and neck also were observed and compared between two groups.Results:The differences of the time-consuming of post process of images and the time-consuming of diagnosis between two groups were all statistically significant(t=52.315,24.509,P<0.05),respectively.The intra-group correlation coefficient(ICC)of each branch of the artery of head and neck was 0.996 between two physicians.In AI group,the score of common carotid artery was(4.77±0.12),and the score of internal carotid artery was(4.56±0.13),and the score of vertebral artery was(4.55±0.16),and the score of middle cerebral artery was(4.78±0.16).In manual group,the score of common carotid artery was(3.02±0.12),and the score of internal carotid artery was(3.02±0.12),and the score of vertebral artery was(3.02±1.14),and the score of middle cerebral artery was(3.11±1.09).The differences of the image scores of each main branch of the artery of head and neck between two groups were significant(t=107.165,94.590,13.812,15.753,P<0.05),respectively,and scores of AI group all higher than these of manual group.The result of digital subtraction angiography(DSA)was used as the"gold standard".A total of 44 stenosis arteries were included for comparison,and the DSA results indicated that there were 12 cases with mild stenosis,12 cases with moderate stenosis and 10 cases with severe stenosis in AI group,and there were 12 cases with mild stenosis,8 cases with moderate stenosis and 7 cases with severe stenosis in manual group.There was a favorable diagnostic consistency in AI group(Kappa=0.898,P<0.05).The compliance rate of each stenosis of AI group was higher than that of manual group.The sensitivity(96.80%)and specificity(66.52%)of AI group were all higher than those(68.36 and 14.75%)of manual group,and the difference of specificity was significant.Conclusion:The time-consuming of post process,the time-consuming of diagnosis and the quality of CTA image of the artery of head and neck in AI mode are better than those in manual mode,and the consistency of diagnostic efficacy between two modes is favorable.
