Comparison of manual segmentation in enhanced CT image and automatic segmentation in PET-CT image for nasopharyngeal carcinoma radiotherapy(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第7期
- Page:
- 865-869
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Comparison of manual segmentation in enhanced CT image and automatic segmentation in PET-CT image for nasopharyngeal carcinoma radiotherapy
- 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
- Keywords:
- Keywords: nasopharyngeal carcinoma PET CT bimodal fusion image target segmentation radiotherapy
- PACS:
- R811.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.07.013
- 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.
Last Update: 2022-07-15