摘要
目的:探究基于增强CT的手动勾画与基于PET-CT的自动勾画方法在鼻咽癌放疗中的优劣性及应用价值。方法:采集34例鼻咽癌患者的PET-CT数据,比较医生分别在增强CT和PET-CT图像上勾画靶区的差异性,以CSCO指南在PET-CT双模态融合图像上手动勾画的靶区作为金标准,应用Matlab软件计算单一标准摄取值(SUV)阈值分割法和MIM软件自带的PET-EDGE分割法两者的重叠率Dice和豪斯多夫距离HD值,并采用t检验进行统计学分析。结果:基于增强CT图像的手动勾画法、基于PET-CT图像的单一SUV阈值法以及PET-EDGE自动勾画法,3者靶区分割结果的Dice值分别为0.706、0.736、0.806,HD值分别为12.601、11.631、6.143mm。以PET-CT双模态图像作为参考的靶区手动勾画法与基于增强CT的手动勾画存在差异(Dice:P=8.33×10^(-7);HD:P=1.065×10^(-18));MIM软件自带的PET-EDGE靶区分割法Dice和HD值高于单一SUV阈值法,差异具有统计学意义(Dice:P=0.0198;HD:P=0.0137)。结论:在鼻咽癌肿瘤靶区的分割性能上,基于PET-CT图像的自动勾画优于基于增强CT图像的手动勾画,MIM软件自带的PET-EDGE分割法优于单一SUV阈值分割法。
Objective To explore the pros and cons of manual segmentation in enhanced CT image and automatic segmentation in PET-CT image for radiotherapy for nasopharyngeal carcinoma,and to discuss their application value.Methods The PET-CT data of 34 patients with nasopharyngeal carcinoma was collected.The performance of target segmentation in enhanced CT and PET-CT images were compared.The tumor area manually drawn by the doctor in PET-CT image according to the CSCO guidelines was taken as the ground truth,and the Dice similarity coefficient and Hausdorff distance(HD)of the automatic segmentation by SUV threshold or PET-EDGE of MIM software were calculated by Matlab software.Moreover,t-test was used for statistical analysis.Results The Dice of manual segmentation in enhanced CT images,automatic segmentation by SUV threshold in PET-CT image,and automatic segmentation by PET-EDGE in PET-CT image were 0.706,0.736,and 0.806,respectively,and the HD was 12.601,11.631,and 6.143 mm,respectively.There were differences between manual segmentation in PET-CT image and manual segmentation in enhanced CT image(Dice:P=8.33×10^(-7);HD:P=1.065×10^(-18)).The Dice and HD of automatic segmentation by PET-EDGE of MIM software were higher as compared with the automatic segmentation by SUV threshold,and the differences were statistically significant(Dice:P=0.0198;HD:P=0.0137).Conclusion The automatic segmentation in PET-CT image is advantageous over manual segmentation in enhanced CT image in target segmentation for nasopharyngeal carcinoma,and PET-EDGE of MIM software is superior to SUV threshold.
作者
王联辉
姚伟荣
骆柘璜
曾庆云
刘玲秀
邓旋
张颖
王宗火
WANG Lianhui;YAO Weirong;LUO Zhehuang;ZENG Qingyun;LIU Lingxiu;DENG Xuan;ZHANG Ying;WANG Zonghuo(Department of Medical Equipment,Jiangxi Provincial People's Hospital,Nanchang 330006,China;Department of Oncology,Jiangxi Provincial People's Hospital,Nanchang 330006,China;Department of Nuclear Medicine,Jiangxi Provincial People's Hospital,Nanchang 330006,China;Imaging Center,Jiangxi Provincial People's Hospital,Nanchang 330006,China)
出处
《中国医学物理学杂志》
CSCD
2022年第7期865-869,共5页
Chinese Journal of Medical Physics
基金
江西省卫生计生委科技计划(20155053)。
关键词
鼻咽癌
PET
CT
双模态融合图像
靶区分割
放射治疗
nasopharyngeal carcinoma
PET
CT
bimodal fusion image
target segmentation
radiotherapy