Research on the Application Value of Artificial Intelligence Technology Assisted Analysis of Head and Neck CTA
Objective Using digital subtraction angiography(DSA)as the reference standard,by comparing with manual post-processing,To explore the application value of artificial intelligent(AI)assisted analysis in the post-processing of head and neck ct angiography(CTA).Methods The imaging data of 42 patients who received head and carotid artery CTA in our hospital from April 2020 to September 2022 and underwent head and carotid artery angiography within 1 month and met the inclusion criteria were retrospectively analyzed,including 30 males and 12 females,with an average age of(67±10.9)years.By comparing with manual image post-processing,the work efficiency,VR image quality,standard coincidence rate and diagnosis coincidence rate of carotid artery stenosis degree of AI method were evaluated.Results84bilateral carotid arteries of 42 patients were analyzed.The average completion time of artificial intelligence was(1.23±0.17)min,which was about 6.72min shorter than that of manual method(7.95±2.42)min,and the average time gain rate was 84％.The ratio of VR image quality to general image quality obtained by artificial intelligence was 88.1％(37/42)and 9.5％(4/42),and the ratio of VR image quality to general image quality obtained by manual methods was 19.0％(8/42)and 69.0％(29/42),respectively.The subjective scores of VR image quality obtained by the two methods were statistically significant(P＜0.001).Using DSA as the gold standard,33 were normal,10 were occluded and 41 were stenosis.The accuracy of manual and Al measurement was 100％,and the stenosis rate was 49.7％±20.9％and 51.9％±26.3％,respectively,with no significant difference(P=0.24),and the intra-group correlation coefficient was 0.879.Conclusion Post-processing of head and neck CTA angiography based on image segmentation technology can significantly shorten the post-processing time and improve the accuracy and efficiency of diagnosis.In addition,the image quality of VR post-processing is superior to manual methods,and the accuracy of diagnosing blood vessel occlusion and stenosis is comparable to manual methods,which can better assist imaging doctors in diagnosis.
Artificial IntelligenceHead and Neck CTACT Angiographyimage Post-processing
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NSTL
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