Evaluation of two automated treatment planning techniques for multiple brain metastases using a single isocenter.

IF 0.7 Q4 SURGERY
Journal of radiosurgery and SBRT Pub Date : 2022-01-01
Guoqiang Cui, Yun Yang, Fang-Fang Yin, David Yoo, Grace Kim, Jun Duan
{"title":"Evaluation of two automated treatment planning techniques for multiple brain metastases using a single isocenter.","authors":"Guoqiang Cui,&nbsp;Yun Yang,&nbsp;Fang-Fang Yin,&nbsp;David Yoo,&nbsp;Grace Kim,&nbsp;Jun Duan","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Two automated treatment planning techniques were evaluated for multiple brain metastases using a single isocenter. One technique is knowledge-based planning (KBP) using a stereotactic radiosurgery (SRS) model in Eclipse treatment planning system (TPS); and the other is the Multiple Brain Mets (MBM) SRS technique in Brainlab Elements TPS. Eighteen plans each with 3-10 lesions were used for the study. Plan evaluation metrics included the planning target volume (PTV) coverage, conformity index (CI), total monitor units (MUs), plan optimization time, brain V<sub>12 Gy</sub>, V<sub>8 Gy</sub>, and V<sub>5 Gy</sub>. Both the KBP and MBM planning techniques produced comparable plans to the manually generated clinical plans in terms of PTV coverage and CI. For irregularly shaped lesions, the KBP plans provided more conformal dose distribution to the PTV than the MBM plans. The KBP plans took significantly longer time to plan but have fewer MUs than the MBM plans. The MBM plans spared normal brain tissues better than the KBP plans in terms of V<sub>5 Gy</sub>.</p>","PeriodicalId":16917,"journal":{"name":"Journal of radiosurgery and SBRT","volume":"8 1","pages":"47-54"},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930061/pdf/rsbrt-8-54.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of radiosurgery and SBRT","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

Abstract

Two automated treatment planning techniques were evaluated for multiple brain metastases using a single isocenter. One technique is knowledge-based planning (KBP) using a stereotactic radiosurgery (SRS) model in Eclipse treatment planning system (TPS); and the other is the Multiple Brain Mets (MBM) SRS technique in Brainlab Elements TPS. Eighteen plans each with 3-10 lesions were used for the study. Plan evaluation metrics included the planning target volume (PTV) coverage, conformity index (CI), total monitor units (MUs), plan optimization time, brain V12 Gy, V8 Gy, and V5 Gy. Both the KBP and MBM planning techniques produced comparable plans to the manually generated clinical plans in terms of PTV coverage and CI. For irregularly shaped lesions, the KBP plans provided more conformal dose distribution to the PTV than the MBM plans. The KBP plans took significantly longer time to plan but have fewer MUs than the MBM plans. The MBM plans spared normal brain tissues better than the KBP plans in terms of V5 Gy.

Abstract Image

使用单一等中心对多发性脑转移的两种自动治疗计划技术进行评估。
使用单个等中心评估了两种自动治疗计划技术对多发性脑转移的治疗效果。一种技术是基于知识的计划(KBP),在Eclipse治疗计划系统(TPS)中使用立体定向放射外科(SRS)模型;另一种是Brainlab Elements TPS中的多发性脑转移(MBM) SRS技术。研究使用了18张图,每张图有3-10个病灶。计划评价指标包括计划目标体积(PTV)覆盖率、符合性指数(CI)、总监测单位(MUs)、计划优化时间、脑V12 Gy、V8 Gy、V5 Gy。在PTV覆盖率和CI方面,KBP和MBM计划技术产生的计划与手动生成的临床计划相当。对于形状不规则的病变,KBP方案比MBM方案为PTV提供了更适形的剂量分布。与MBM计划相比,KBP计划的规划时间明显更长,但MUs较少。在V5 Gy方面,MBM计划比KBP计划更能保护正常脑组织。
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
CiteScore
1.40
自引率
8.30%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信