How to protect the proximal bronchial tree during stereotactic radiotherapy of ultracentral lung tumors: Lessons from MR-guided treatment

IF 2.7 3区 医学 Q3 ONCOLOGY Clinical and Translational Radiation Oncology Pub Date : 2024-12-07 DOI:10.1016/j.ctro.2024.100899
Sebastian Regnery , Efthimios Katsigiannopulos , Hin Lau , Philipp Hoegen-Saßmannshausen , Fabian Weykamp , Claudia Katharina Renkamp , Carolin Rippke , Fabian Schlüter , Sophia Albert , Jan Meis , Marietta Kirchner , Alexandra Balzer , Nicolaus Andratschke , Matthias Guckenberger , Jürgen Debus , Sebastian Klüter , Juliane Hörner-Rieber
{"title":"How to protect the proximal bronchial tree during stereotactic radiotherapy of ultracentral lung tumors: Lessons from MR-guided treatment","authors":"Sebastian Regnery ,&nbsp;Efthimios Katsigiannopulos ,&nbsp;Hin Lau ,&nbsp;Philipp Hoegen-Saßmannshausen ,&nbsp;Fabian Weykamp ,&nbsp;Claudia Katharina Renkamp ,&nbsp;Carolin Rippke ,&nbsp;Fabian Schlüter ,&nbsp;Sophia Albert ,&nbsp;Jan Meis ,&nbsp;Marietta Kirchner ,&nbsp;Alexandra Balzer ,&nbsp;Nicolaus Andratschke ,&nbsp;Matthias Guckenberger ,&nbsp;Jürgen Debus ,&nbsp;Sebastian Klüter ,&nbsp;Juliane Hörner-Rieber","doi":"10.1016/j.ctro.2024.100899","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>To use imaging data from stereotactic MR-guided online adaptive radiotherapy (SMART) of ultracentral lung tumors (ULT) for development of a safe non-adaptive approach towards stereotactic body radiotherapy (SBRT) of ULT.</div></div><div><h3>Patients and Methods</h3><div>Analysis is based on 19 patients with ULT who received SMART (10 × 5.0–5.5 Gy) on a 0.35 T MR-Linac (MRIdian®) in the prospective MAGELLAN trial. 4D-planning CT data of six patients served to quantify proximal bronchial tree (PBT) breathing motion. Daily fraction MRIs are used to calculate interfractional translations (mediolateral (ML), anterior-posterior (AP), superior-inferior (SI)) and their dosimetric consequences for the PBT. A planning risk volume (PRV) is calculated for an assumed non-adaptive SBRT in deep-inspiration breath hold (DIBH) with surface-guidance (AlignRT®). Finally, non-adaptive volumetric modulated arc (VMAT) SBRT is simulated with and without a PRV for N = 10 patients (10 × 5.5 Gy).</div></div><div><h3>Results</h3><div>The PBT shows relevant breathing motion, especially in superior-inferior direction (median ML: 2.5 mm, AP: 1.9 mm and SI: 9.2 mm). Furthermore, moderate interfractional translations are observed (mean absolute translation ML: 1.3 mm, AP: 1.3 mm, SI: 1.1 mm), with an estimated 2 mm PRV margin for interfractional changes alone. Simulated non-adaptive SBRT leads to PBT overdoses in 60 % of patients (median overdosed fractions VMAT: 2.5, predicted MR-linac plans 4). Both MR-guided online plan adaptation (SMART) and PRV-based non-adaptive VMAT prevent PBT overdoses, but SMART yields significantly higher planning target volume (PTV) coverage (SMART: median 96 % [IQR 95–96], VMAT: median 89 % [IQR 77–94], p = 0.014).</div></div><div><h3>Conclusions</h3><div>Both intrafractional breathing motion and interfractional translations may impact doses to the PBT during SBRT of ULT. SMART protects the PBT from overdoses while maintaining high PTV coverage. Non-adaptive SBRT appears safe with advanced breathing motion management and PRV, but yields inferior PTV coverage.</div></div>","PeriodicalId":10342,"journal":{"name":"Clinical and Translational Radiation Oncology","volume":"51 ","pages":"Article 100899"},"PeriodicalIF":2.7000,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11714375/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Radiation Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405630824001769","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

To use imaging data from stereotactic MR-guided online adaptive radiotherapy (SMART) of ultracentral lung tumors (ULT) for development of a safe non-adaptive approach towards stereotactic body radiotherapy (SBRT) of ULT.

Patients and Methods

Analysis is based on 19 patients with ULT who received SMART (10 × 5.0–5.5 Gy) on a 0.35 T MR-Linac (MRIdian®) in the prospective MAGELLAN trial. 4D-planning CT data of six patients served to quantify proximal bronchial tree (PBT) breathing motion. Daily fraction MRIs are used to calculate interfractional translations (mediolateral (ML), anterior-posterior (AP), superior-inferior (SI)) and their dosimetric consequences for the PBT. A planning risk volume (PRV) is calculated for an assumed non-adaptive SBRT in deep-inspiration breath hold (DIBH) with surface-guidance (AlignRT®). Finally, non-adaptive volumetric modulated arc (VMAT) SBRT is simulated with and without a PRV for N = 10 patients (10 × 5.5 Gy).

Results

The PBT shows relevant breathing motion, especially in superior-inferior direction (median ML: 2.5 mm, AP: 1.9 mm and SI: 9.2 mm). Furthermore, moderate interfractional translations are observed (mean absolute translation ML: 1.3 mm, AP: 1.3 mm, SI: 1.1 mm), with an estimated 2 mm PRV margin for interfractional changes alone. Simulated non-adaptive SBRT leads to PBT overdoses in 60 % of patients (median overdosed fractions VMAT: 2.5, predicted MR-linac plans 4). Both MR-guided online plan adaptation (SMART) and PRV-based non-adaptive VMAT prevent PBT overdoses, but SMART yields significantly higher planning target volume (PTV) coverage (SMART: median 96 % [IQR 95–96], VMAT: median 89 % [IQR 77–94], p = 0.014).

Conclusions

Both intrafractional breathing motion and interfractional translations may impact doses to the PBT during SBRT of ULT. SMART protects the PBT from overdoses while maintaining high PTV coverage. Non-adaptive SBRT appears safe with advanced breathing motion management and PRV, but yields inferior PTV coverage.
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
超中央肺肿瘤立体定向放疗中如何保护近端支气管树:磁共振引导治疗的经验。
目的:利用超中心性肺肿瘤(ULT)立体定向磁共振引导在线自适应放疗(SMART)的影像学数据,为ULT立体定向全身放疗(SBRT)的安全非自适应入路发展提供参考。患者和方法:分析基于前瞻性MAGELLAN试验中19例接受SMART (10 × 5.0-5.5 Gy)治疗0.35 T MR-Linac (MRIdian®)的ULT患者。6例患者的4d规划CT数据用于量化近端支气管树(PBT)呼吸运动。每日分数mri用于计算分数间平移(中外侧(ML),前后(AP),上-下(SI))及其对PBT的剂量学影响。在深度吸气屏气(DIBH)和表面引导(AlignRT®)中,计算了假设的非自适应SBRT的规划风险量(PRV)。最后,对N = 10例患者(10 × 5.5 Gy)的非自适应体积调制电弧(VMAT) SBRT进行了有和没有PRV的模拟。结果:PBT显示相应的呼吸运动,尤其是上下方向(中位ML: 2.5 mm, AP: 1.9 mm, SI: 9.2 mm)。此外,观察到适度的分数间平移(平均绝对平移ML: 1.3 mm, AP: 1.3 mm, SI: 1.1 mm),仅分数间变化的PRV边缘估计为2mm。模拟非适应性SBRT导致60%的患者PBT过量(过量剂量中位数VMAT: 2.5,预测MR-linac计划4)。mr引导的在线计划适应(SMART)和基于prv的非适应性VMAT均可预防PBT过量,但SMART的计划目标体积(PTV)覆盖率显著更高(SMART:中位数96% [IQR 95-96], VMAT:中位数89% [IQR 77-94], p = 0.014)。结论:在ULT的SBRT过程中,术中呼吸运动和术中平移都可能影响PBT的剂量。SMART保护PBT免受过量使用,同时保持高PTV覆盖率。采用先进的呼吸运动管理和PRV,非自适应SBRT似乎是安全的,但PTV覆盖率较低。
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
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.30
自引率
3.20%
发文量
114
审稿时长
40 days
期刊最新文献
Magnetic resonance imaging to detect tumor hypoxia in brain malignant disease: A systematic review of validation studies Clinical outcomes and risk factors for local failure and visual impairment in patients treated with Ru-106 brachytherapy for uveal melanoma The doses to Organs at risk and their Proximity to target volumes are crucial Determinants of brachytherapy toxicity Recovery of quality of life in 574 patients with inoperable lung cancer undergoing (chemo)radiotherapy Mepitel® film versus standard care for the prevention of skin toxicity in breast cancer patients treated with adjuvant radiotherapy: A randomized controlled trial
×
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