曹世鹏,王大奖,王骁踊,陈天禄,沈九零,刘晖.AccuContour和United Imaging软件自动勾画胸部危及器官[J].中国医学影像技术,2021,37(11):1715~1719 |
AccuContour和United Imaging软件自动勾画胸部危及器官 |
AccuContour and United Imaging software for automatic segmenting the accuracy of chest organ at risk |
投稿时间:2021-04-08 修订日期:2021-09-15 |
DOI:10.13929/j.issn.1003-3289.2021.11.029 |
中文关键词: 胸部 危及器官 体层摄影术,X线计算机 正电子发射断层显像 |
英文关键词:chest organ at risk tomography, X-ray computed positron-emission tomography |
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中文摘要: |
目的 评价2种基于人工智能方法自动勾画软件用于勾画胸部危及器官(OAR)效果的差异。方法 采用AccuContour和United Imaging软件自动勾画24例非小细胞肺癌患者胸部OAR,包括心脏、左肺、右肺、食管及脊髓;以勾画时间、豪斯多夫距离(HD)、形状相似性指数(DSC)及平均最小距离(MDA)评价勾画效果。结果 United Imaging软件勾画时间明显短于AccuContour软件(P<0.05)。2种软件勾画的心脏HD、DSC及MDA差异均具有统计学意义(P均<0.05)。AccuContour软件勾画的右肺HD明显小于United Imaging(P<0.05)。2种软件勾画食管的HD、DSC及MDA差异均有统计学意义(P均<0.05),United Imaging软件勾画的左肺DSC明显大于AccuContour软件(P<0.05),MDA则明显小于AccuContour软件(P<0.05)。2种软件勾画的脊髓各项参数差异均无统计学意义(P均>0.05)。结论 AccuContour3.0和United Imaging软件自动勾画胸部不同解剖结构的效果存在差异,且二者各有所长;其勾画肺部和心脏的效果均较好,勾画食管和脊髓效果均稍差。 |
英文摘要: |
Objective To explore the difference of segmenting effects of chest organ at risk (OAR) of two automatic segmenting software based on artificial intelligence. Methods AccuContour and United Imaging software were used to automatically segment chest OAR, including heart, left lung, right lung, esophagus and spinal cord in 24 patients with non-small cell lung carcinoma. The segment time, Hausdorff distance (HD), dice similarity coefficient (DSC) and the mean distance to agreement (MDA) were obtained, and the contouring results were evaluated. Results The segment time of United Imaging software was significantly shorter than that of AccuContour software (P<0.05). Statistical significant differences of HD, DSC and MDA were found between AccuContour and United Imaging software in segmenting the heart (all P<0.05). HD of the right lung segmented with AccuContour software was significantly less than that with United Imaging (P<0.05). Statistical significant differences of HD, DSC and MDA of the esophagus were detected between AccuContour and United Imaging software (all P<0.05). DSC of United Imaging software for delineating the left lung was significantly greater than that of AccuContour software (P<0.05), and the MDA was significantly smaller than that of AccuContour software (P<0.05). There was no statistically difference of parameters of spinal cord segmentation between AccuContour and United Imaging software (all P>0.05). Conclusion The automatic segmentation effects of AccuContour and United Imaging software were somehow different for different structures in the chest. Both AccuContour and United Imaging software had its own strengths, while all had better segmenting effect of the lung and heart, but slightly worse of esophagus and spinal cord. |
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