中国医学装备2023，Vol.20Issue(12)：10-14,5.DOI:10.3969/J.ISSN.1672-8270.2023.12.003
胸部CT不同图像算法对人工智能辅助诊断软件肺结节检出效果的影响研究
Exploration and analysis on the influence of different image algorithms of chest CT on the detection effect of AI-assisted diagnostic software for pulmonary nodules
李玉辉 1刘龙进 1徐乐意 1刘远高1
作者信息
- 1. 汉川市人民医院放射影像科 湖北 汉川 431600
- 折叠
摘要
Abstract
Objective:To explore the influence of artificial intelligence(AI)assisted diagnosis system on the detection effect of computed tomography(CT)on chest for pulmonary nodules under different image algorithms.Methods:The images of 100 patients who underwent CT scan of chest in hospital during 2020 and 2022 were analyzed.The original data were reconstructed by standard algorithm,lung algorithm and bone algorithm,and the AI-assisted diagnosis system was used to identify the data of three algorithms.The image data were transmitted to the AI-assisted diagnosis system,and then,the comprehensive judgment results of three physicians with above the title of attending physician were used as the"gold standard"to compare the detection effect and nodule nature of AI.The detection rates and false detection rates of pulmonary nodules were calculated under different image algorithms and the combination of different algorithm.Results:There was a statistically significant difference in the detection rates of solid pulmonary nodule and partial solid pulmonary nodule under different image algorithms(F=262.64,F=440.74,P<0.05),in which the simultaneous recognition of lung algorithm and bone algorithm had the highest detection rate.There was no statistically significant difference in the false detection rates of solid pulmonary nodule and partial solid pulmonary nodule among different algorithms,and there was no statistically significant difference in measured diameters of solid pulmonary nodules and partial solid pulmonary nodule among different algorithms,and there were statistically significant differences in CT values of pulmonary nodule among three image algorithms(F=82.42,F=63.08,P<0.05).Conclusion:Compared with other algorithm,the Bone algorithm of CT scan on chest has more detective effect for the detections of solid and partial solid pulmonary nodule(include ground glass nodule),and the qualities of complex pulmonary nodules.But the overall detection effect and false detection rate of that are lower than those of Lung algorithm.For high-risk groups,the Bone algorithm or high-resolution algorithm can be added during undergoing CT examination on chest,which can implement artificial intelligence(AI)systematic recognition with Lung algorithm,and optimize the detection effect of AI system.关键词
人工智能/肺结节/图像算法/检出效果Key words
Artificial intelligence(AI)/Pulmonary nodule/Image algorithm/Detection effect分类
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李玉辉,刘龙进,徐乐意,刘远高..胸部CT不同图像算法对人工智能辅助诊断软件肺结节检出效果的影响研究[J].中国医学装备,2023,20(12):10-14,5.
