[1]王联辉,姚伟荣,骆柘璜,等.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对比研究[J].中国医学物理学杂志,2022,39(7):865-869.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.013]
　WANG Lianhui,YAO Weirong,LUO Zhehuang,et al.Comparison of manual segmentation in enhanced CT image and automatic segmentation in PET-CT image for nasopharyngeal carcinoma radiotherapy[J].Chinese Journal of Medical Physics,2022,39(7):865-869.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.013]
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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对比研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第7期
页码:
865-869
栏目:
医学影像物理
出版日期:
2022-07-15

文章信息/Info

Title:
Comparison of manual segmentation in enhanced CT image and automatic segmentation in PET-CT image for nasopharyngeal carcinoma radiotherapy
文章编号:
1005-202X（2022）07-0865-05
作者:
王联辉1; 姚伟荣2; 骆柘璜3; 曾庆云3; 刘玲秀2; 邓旋2; 张颖3; 王宗火4
1.江西省人民医院医疗器械处， 江西 南昌 330006； 2.江西省人民医院肿瘤科， 江西 南昌 330006； 3.江西省人民医院核医学科， 江西 南昌 330006； 4.江西省人民医院影像中心， 江西 南昌 330006
Author(s):
WANG Lianhui1;  YAO Weirong2;  LUO Zhehuang3;  ZENG Qingyun3;  LIU Lingxiu2;  DENG Xuan2;  ZHANG Ying3;  WANG Zonghuo4
1. Department of Medical Equipment, Jiangxi Provincial Peoples Hospital, Nanchang 330006, China 2. Department of Oncology, Jiangxi Provincial Peoples Hospital, Nanchang 330006, China 3. Department of Nuclear Medicine, Jiangxi Provincial Peoples Hospital, Nanchang 330006, China 4. Imaging Center, Jiangxi Provincial Peoples Hospital, Nanchang 330006, China
关键词:
鼻咽癌; PET; CT; 双模态融合图像; 靶区分割; 放射治疗
Keywords:
Keywords: nasopharyngeal carcinoma PET CT bimodal fusion image target segmentation radiotherapy
分类号:
R811.1
DOI:
DOI:10.3969/j.issn.1005-202X.2022.07.013
文献标志码:
A
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、6.143 mm。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=0.019 8；HD：P=0.013 7）。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。
Abstract:
Abstract: 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.

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备注/Memo

备注/Memo:
【收稿日期】2021-10-09 【基金项目】江西省卫生计生委科技计划（20155053） 【作者简介】王联辉，硕士，高级工程师，研究方向：核医学物理，E-mail: 139090529@qq.com
更新日期/Last Update: 2022-07-15