[Evaluation of Auto-segmentation in the Head and Neck Region].

Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2025-01-01 DOI:10.6009/jjrt.25-1475

Issei Matsuo, Masayuki Tachibana, Hirofumi Honda, Hiroki Namba

{"title":"[Evaluation of Auto-segmentation in the Head and Neck Region].","authors":"Issei Matsuo, Masayuki Tachibana, Hirofumi Honda, Hiroki Namba","doi":"10.6009/jjrt.25-1475","DOIUrl":null,"url":null,"abstract":"Purpose: The purpose of this study was to perform auto-segmentation on cases in the head and neck region and to elucidate the characteristics of the extraction performance.Methods: Auto-segmentation was performed on 100 cases in the head and neck region in Japan. The Auto-segmentation contours were compared with the clinical contours. The evaluation structures were the brain, brainstem, spinal cord, mandible, parotid gland, larynx, and eyeballs. DSC and HD were used for similarity evaluation.Results: Overall, there was a high similarity in the eyeball and spinal cord. However, the lower the contrast with neighboring objects and the greater the variation in shape, the lower the similarity. In addition, metal artifacts lowered the similarity in some areas.Conclusion: When auto-segmentation extraction was performed, differences were observed in the degree of similarity between organs. Depending on the case and morphology, the accuracy of auto-segmentation extraction varied from site to site, even for the same organ. The characteristics of the extractability found in this study make it useful for the manual modification of contouring.","PeriodicalId":74309,"journal":{"name":"Nihon Hoshasen Gijutsu Gakkai zasshi","volume":"81 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nihon Hoshasen Gijutsu Gakkai zasshi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6009/jjrt.25-1475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Purpose: The purpose of this study was to perform auto-segmentation on cases in the head and neck region and to elucidate the characteristics of the extraction performance.

Methods: Auto-segmentation was performed on 100 cases in the head and neck region in Japan. The Auto-segmentation contours were compared with the clinical contours. The evaluation structures were the brain, brainstem, spinal cord, mandible, parotid gland, larynx, and eyeballs. DSC and HD were used for similarity evaluation.

Results: Overall, there was a high similarity in the eyeball and spinal cord. However, the lower the contrast with neighboring objects and the greater the variation in shape, the lower the similarity. In addition, metal artifacts lowered the similarity in some areas.

Conclusion: When auto-segmentation extraction was performed, differences were observed in the degree of similarity between organs. Depending on the case and morphology, the accuracy of auto-segmentation extraction varied from site to site, even for the same organ. The characteristics of the extractability found in this study make it useful for the manual modification of contouring.

查看原文本刊更多论文

[头颈部区域自动分割的评价]。

目的：本研究的目的是对头颈部的病例进行自动分割，并阐明提取性能的特点。方法：对日本头颈部100例患者进行自动分割。将自动分割轮廓与临床轮廓进行比较。评估结构为脑、脑干、脊髓、下颌骨、腮腺、喉部和眼球。采用DSC和HD进行相似性评价。结果：总体而言，眼球与脊髓具有高度的相似性。然而，与相邻物体的对比度越低，形状变化越大，相似性越低。此外，金属制品降低了某些地区的相似性。结论：在进行自动分割提取时，器官之间的相似程度存在差异。根据病例和形态学的不同，自动分割提取的准确性因部位而异，即使是同一器官。本研究发现的可提取性的特点使其对手工修改轮廓有用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Nihon Hoshasen Gijutsu Gakkai zasshi

自引率

0.00%

发文量