Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy

ObjectiveTo analyze the time characteristics of the Ethos online adaptive radiotherapy (OART) process in clinical practice and provide guidance for the comprehensive optimization of each stage of adaptive radiotherapy. MethodsThe study involved 61 patients with cervical, rectal, gastric, lung, esoph...

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Main Authors: Dandan ZHANG, Yuhan KOU, Shilong ZHU, Xiaoyu LIU, Meng NING, Peichao BAN, Jinyuan WANG, Changxin YAN, Zhongjian JU
Format: Article
Language:zho
Published: Editorial Office of Chinese Journal of Medical Instrumentation 2025-03-01
Series:Zhongguo yiliao qixie zazhi
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Online Access:https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240389
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author Dandan ZHANG
Yuhan KOU
Shilong ZHU
Xiaoyu LIU
Meng NING
Peichao BAN
Jinyuan WANG
Changxin YAN
Zhongjian JU
author_facet Dandan ZHANG
Yuhan KOU
Shilong ZHU
Xiaoyu LIU
Meng NING
Peichao BAN
Jinyuan WANG
Changxin YAN
Zhongjian JU
author_sort Dandan ZHANG
collection DOAJ
description ObjectiveTo analyze the time characteristics of the Ethos online adaptive radiotherapy (OART) process in clinical practice and provide guidance for the comprehensive optimization of each stage of adaptive radiotherapy. MethodsThe study involved 61 patients with cervical, rectal, gastric, lung, esophageal, and breast cancers who underwent Ethos OART. The mean ± standard deviation of segmental time, total time, and target volume for these patients were tracked. The time characteristics for different cancer types were evaluated, and the average time for target and organ at risk (OAR) modifications was compared with the average target volume for each cancer type. ResultsCervical cancer born the longest total treatment time, while breast cancer had the shortest. For all cancer types except breast cancer, the modification time for target and OAR was the most time-consuming segment. The average time for target and OAR modifications aligned with the trend of the average target volume. Conclusion The total treatment time for various cancers ranges from 15 to 35 minutes, indicating room for improvement.
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publishDate 2025-03-01
publisher Editorial Office of Chinese Journal of Medical Instrumentation
record_format Article
series Zhongguo yiliao qixie zazhi
spelling doaj-art-e1edcb9bfcba4feba11f3db0eaf7e06c2025-08-20T03:18:06ZzhoEditorial Office of Chinese Journal of Medical InstrumentationZhongguo yiliao qixie zazhi1671-71042025-03-0149213414010.12455/j.issn.1671-7104.2403892024-0389Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive RadiotherapyDandan ZHANG0Yuhan KOU1Shilong ZHU2Xiaoyu LIU3Meng NING4Peichao BAN5Jinyuan WANG6Changxin YAN7Zhongjian JU8Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853Radiotherapy Department, First Medical Center, Chinese PLA General Hospital, Beijing, 100853ObjectiveTo analyze the time characteristics of the Ethos online adaptive radiotherapy (OART) process in clinical practice and provide guidance for the comprehensive optimization of each stage of adaptive radiotherapy. MethodsThe study involved 61 patients with cervical, rectal, gastric, lung, esophageal, and breast cancers who underwent Ethos OART. The mean ± standard deviation of segmental time, total time, and target volume for these patients were tracked. The time characteristics for different cancer types were evaluated, and the average time for target and organ at risk (OAR) modifications was compared with the average target volume for each cancer type. ResultsCervical cancer born the longest total treatment time, while breast cancer had the shortest. For all cancer types except breast cancer, the modification time for target and OAR was the most time-consuming segment. The average time for target and OAR modifications aligned with the trend of the average target volume. Conclusion The total treatment time for various cancers ranges from 15 to 35 minutes, indicating room for improvement.https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240389ethos acceleratoronline adaptive radiotherapy (oart)clinical workflowtreatment timeoptimization strategy
spellingShingle Dandan ZHANG
Yuhan KOU
Shilong ZHU
Xiaoyu LIU
Meng NING
Peichao BAN
Jinyuan WANG
Changxin YAN
Zhongjian JU
Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy
Zhongguo yiliao qixie zazhi
ethos accelerator
online adaptive radiotherapy (oart)
clinical workflow
treatment time
optimization strategy
title Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy
title_full Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy
title_fullStr Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy
title_full_unstemmed Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy
title_short Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy
title_sort segmented time study and optimization strategy for clinical application of ethos online adaptive radiotherapy
topic ethos accelerator
online adaptive radiotherapy (oart)
clinical workflow
treatment time
optimization strategy
url https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240389
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