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在超中央型肺肿瘤的立体定向放射治疗中如何保护近端支气管树:磁共振引导治疗的经验教训

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

作者信息

Regnery Sebastian, Katsigiannopulos Efthimios, Lau Hin, Hoegen-Saßmannshausen Philipp, Weykamp Fabian, Renkamp Claudia Katharina, Rippke Carolin, Schlüter Fabian, Albert Sophia, Meis Jan, Kirchner Marietta, Balzer Alexandra, Andratschke Nicolaus, Guckenberger Matthias, Debus Jürgen, Klüter Sebastian, Hörner-Rieber Juliane

机构信息

Department of Radiation Oncology, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.

NCT Partner Site Heidelberg, A Clinical-Translational Cancer Research Partnership between University Hospital Heidelberg and DKFZ, Germany.

出版信息

Clin Transl Radiat Oncol. 2024 Dec 7;51:100899. doi: 10.1016/j.ctro.2024.100899. eCollection 2025 Mar.

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.

摘要

目的

利用超中央型肺癌(ULT)立体定向磁共振引导在线自适应放疗(SMART)的影像数据,开发一种针对ULT立体定向体部放疗(SBRT)的安全非自适应方法。

患者与方法

分析基于19例接受前瞻性麦哲伦试验中0.35T MR直线加速器(MRIdian®)上SMART(10×5.0 - 5.5Gy)治疗的ULT患者。6例患者的4D计划CT数据用于量化近端支气管树(PBT)的呼吸运动。每日分次MRI用于计算分次间平移(内外侧(ML)、前后(AP)、上下(SI))及其对PBT的剂量学影响。计算在深吸气屏气(DIBH)下采用表面引导(AlignRT®)的假定非自适应SBRT的计划风险体积(PRV)。最后,对N = 10例患者(10×5.5Gy)模拟有无PRV的非自适应容积调强弧形放疗(VMAT)SBRT。

结果

PBT显示出明显的呼吸运动,尤其是在上下方向(ML中位数:2.5mm,AP:1.9mm,SI:9.2mm)。此外,观察到适度的分次间平移(平均绝对平移ML:1.3mm,AP:1.3mm,SI:1.1mm),仅分次间变化估计PRV边界为2mm。模拟的非自适应SBRT导致60%的患者PBT过量(VMAT过量分次中位数:2.5,预测的MR直线加速器计划为4次)。磁共振引导的在线计划自适应(SMART)和基于PRV的非自适应VMAT均可防止PBT过量,但SMART产生的计划靶体积(PTV)覆盖率显著更高(SMART:中位数96%[四分位间距95 - 96],VMAT:中位数89%[四分位间距77 - 94],p = 0.014)。

结论

在ULT的SBRT期间,分次内呼吸运动和分次间平移均可能影响PBT的剂量。SMART可保护PBT不发生过量,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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5506/11714375/9a250e00d1db/gr1.jpg

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