A predictive model for Gamma Knife intermediate dose spill: R50%Analytic-GK

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Applied Clinical Medical Physics Pub Date : 2024-11-29 DOI:10.1002/acm2.14579
Ivan L. Cordrey, Sare Kucuk, Chester Ramsey, Joseph Bowling, Dharmin D. Desai
{"title":"A predictive model for Gamma Knife intermediate dose spill: R50%Analytic-GK","authors":"Ivan L. Cordrey,&nbsp;Sare Kucuk,&nbsp;Chester Ramsey,&nbsp;Joseph Bowling,&nbsp;Dharmin D. Desai","doi":"10.1002/acm2.14579","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>Minimizing intermediate dose spill in stereotactic radiosurgery (SRS) for brain treatment is crucial. Intermediate dose spill correlates with the exposure of normal brain tissue to high doses, which increases the risk of radionecrosis. R50%, defined as the volume of the 50% of prescription isodose cloud/planning target volume, is one metric for intermediate dose spill. A predictive model for R50% in linear accelerator VMAT-delivered SRS has been developed Desai et al. (2020) and is called R50%<sub>Analytic</sub>. This study extends the R50%<sub>Analytic</sub> model to Gamma Knife (GK) delivered SRS, resulting in the R50%<sub>Analytic-GK</sub> model.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Phantom calculations were performed on 11 spherical target volumes ranging from 0.001  to 44 cm<sup>3</sup> to develop the R50%<sub>Analytic-GK</sub> model. R50%<sub>Analytic-GK</sub> was tested against clinical data from 18 brain metastasis cases with one to 11 targets treated on GK Icon and planned in GammaPlan with lightning dose optimizer. Thirty-five targets with volumes between 0.011  and 27.4 cm<sup>3</sup> were analyzed by extracting the R50% achieved clinically (R50%<sub>Clinical</sub>) for comparison to the predicted intermediate dose spill from R50%<sub>Analytic-GK</sub>.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The predicted R50%<sub>Analytic-GK</sub> values generally represent a lower bound for the R50%<sub>Clinical</sub> values as the model would predict. The Difference, R50%<sub>Clinical</sub> − R50%<sub>Analytic-GK</sub>, has a median value of 0.92, which quantifies the lower bound nature of R50%<sub>Analytic-GK</sub>. The model reflected the character of intermediate dose spill for the clinical cases. A few outliers were likely due to specific planning complexities.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The R50%<sub>Analytic-GK</sub> model for intermediate dose spill successfully extends the theoretical framework of R50%<sub>Analytic</sub> to GK-delivered SRS. It provides a method to predict the intermediate dose spill for GK Icon treatments. This model can aid in assessing SRS treatment plans by providing a benchmark for the intermediate dose spill for comparison.</p>\n </section>\n </div>","PeriodicalId":14989,"journal":{"name":"Journal of Applied Clinical Medical Physics","volume":"26 2","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acm2.14579","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Clinical Medical Physics","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/acm2.14579","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

Minimizing intermediate dose spill in stereotactic radiosurgery (SRS) for brain treatment is crucial. Intermediate dose spill correlates with the exposure of normal brain tissue to high doses, which increases the risk of radionecrosis. R50%, defined as the volume of the 50% of prescription isodose cloud/planning target volume, is one metric for intermediate dose spill. A predictive model for R50% in linear accelerator VMAT-delivered SRS has been developed Desai et al. (2020) and is called R50%Analytic. This study extends the R50%Analytic model to Gamma Knife (GK) delivered SRS, resulting in the R50%Analytic-GK model.

Methods

Phantom calculations were performed on 11 spherical target volumes ranging from 0.001  to 44 cm3 to develop the R50%Analytic-GK model. R50%Analytic-GK was tested against clinical data from 18 brain metastasis cases with one to 11 targets treated on GK Icon and planned in GammaPlan with lightning dose optimizer. Thirty-five targets with volumes between 0.011  and 27.4 cm3 were analyzed by extracting the R50% achieved clinically (R50%Clinical) for comparison to the predicted intermediate dose spill from R50%Analytic-GK.

Results

The predicted R50%Analytic-GK values generally represent a lower bound for the R50%Clinical values as the model would predict. The Difference, R50%Clinical − R50%Analytic-GK, has a median value of 0.92, which quantifies the lower bound nature of R50%Analytic-GK. The model reflected the character of intermediate dose spill for the clinical cases. A few outliers were likely due to specific planning complexities.

Conclusion

The R50%Analytic-GK model for intermediate dose spill successfully extends the theoretical framework of R50%Analytic to GK-delivered SRS. It provides a method to predict the intermediate dose spill for GK Icon treatments. This model can aid in assessing SRS treatment plans by providing a benchmark for the intermediate dose spill for comparison.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
伽玛刀中间剂量溢出的预测模型:R50%Analytic-GK.
目的:减少立体定向放射治疗(SRS)中剂量泄漏至关重要。中等剂量泄漏与正常脑组织暴露于高剂量有关,这增加了放射性坏死的风险。R50%,定义为处方等剂量云/计划目标体积的50%的体积,是中间剂量溢出的一个度量。德赛等人(2020)开发了线性加速器vmat交付的SRS中R50%的预测模型,称为R50% analytic模型。本研究将R50%Analytic模型扩展到伽玛刀(GK)提供的SRS,从而得到R50%Analytic-GK模型。方法:对11个0.001 ~ 44 cm3的球形靶体积进行幻影计算,建立r50% analysis - gk模型。r50%分析-GK针对18例脑转移病例的临床数据进行了测试,GK Icon治疗1 - 11个靶点,并在GammaPlan中使用闪电剂量优化器进行计划。通过提取临床达到的R50% (R50% clinical)与R50% analysis - gk预测的中间剂量溢出进行比较,对35个体积在0.011 ~ 27.4 cm3之间的靶标进行了分析。结果:预测的r50%分析- gk值通常代表模型预测的r50%临床值的下限。r50%临床- r50%分析- gk的差值中位数为0.92,量化了r50%分析- gk的下限性质。该模型反映了临床病例中剂量溢出的特征。一些异常值可能是由于特定的规划复杂性。结论:中剂量溢出的r50%解析- gk模型成功地将r50%解析的理论框架扩展到gk释放的SRS。它提供了一种预测GK - Icon处理的中间剂量溢出的方法。该模型可以通过为中间剂量泄漏提供一个基准进行比较,从而有助于评估SRS治疗计划。
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 去求助
来源期刊
CiteScore
3.60
自引率
19.00%
发文量
331
审稿时长
3 months
期刊介绍: Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission. JACMP will publish: -Original Contributions: Peer-reviewed, investigations that represent new and significant contributions to the field. Recommended word count: up to 7500. -Review Articles: Reviews of major areas or sub-areas in the field of clinical medical physics. These articles may be of any length and are peer reviewed. -Technical Notes: These should be no longer than 3000 words, including key references. -Letters to the Editor: Comments on papers published in JACMP or on any other matters of interest to clinical medical physics. These should not be more than 1250 (including the literature) and their publication is only based on the decision of the editor, who occasionally asks experts on the merit of the contents. -Book Reviews: The editorial office solicits Book Reviews. -Announcements of Forthcoming Meetings: The Editor may provide notice of forthcoming meetings, course offerings, and other events relevant to clinical medical physics. -Parallel Opposed Editorial: We welcome topics relevant to clinical practice and medical physics profession. The contents can be controversial debate or opposed aspects of an issue. One author argues for the position and the other against. Each side of the debate contains an opening statement up to 800 words, followed by a rebuttal up to 500 words. Readers interested in participating in this series should contact the moderator with a proposed title and a short description of the topic
期刊最新文献
Impact of acceleration treatment on treatment plan and delivery qualities in tomotherapy for lung cancer. T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study. Determination of appropriate energy threshold range for accurate estimation of effective atomic number considering statistical uncertainty in photon-counting techniques. A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy. Assessing the rigidity of thermoplastic masks for head immobilization effectiveness in stereotactic radiosurgery.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1