Dosimetric effects of internal margin, auto flash, and virtual bolus in VMAT-based whole-breast radiotherapy under motion variations

运动变化下,基于容积旋转调强放射治疗(VMAT)的全乳放射治疗中内部边界、自动闪光和虚拟推注的剂量学效应

阅读:2

Abstract

BACKGROUND AND PURPOSE: This study aimed to evaluate the dosimetric performance and robustness of volumetric modulated arc therapy (VMAT) planning techniques-planning target volume with internal margin (INT), auto flash (AF), and virtual bolus (VB)-under simulated geometric changes during whole-breast radiotherapy. METHODS: Nine patients with left-sided breast cancer were included. Three planning techniques were compared: INT with a 5-mm skin-sparing internal margin, AF with a 1-cm automatic skin flash margin, and VB with a 5-mm optimization bolus applied only during the planning. Respiratory motion was simulated by shifting the plan center (± 3 mm and ± 5 mm) and recalculating the dose distributions. RESULTS: Under static conditions, all plans provided adequate target coverage, with planning target volume (PTV) V95% values of 96.45% (INT), 97.35% (AF), and 98.19% (VB). Under breast swelling of up to 5 mm, AF maintained the most stable coverage (PTV V95% = 99.10%), outperforming VB (95.02%) and INT (92.31%) (p < 0.001). In simulated incomplete inspiration (5 mm), VB showed superior robustness, achieving a PTV V95% of 90.46% compared with AF (85.30%) and INT (85.08%) (p = 0.008). AF met the ideal criteria in all cases under swelling conditions, whereas the VB was more effective against suboptimal respiration. CONCLUSIONS: In VMAT breast radiation therapy (RT), the conventional INT approach was the least robust against variations, and additional techniques are required. AF effectively compensates for breast swelling, whereas VB preserves the target coverage under insufficient breath-hold conditions. Surface-guided radiation therapy (SGRT) and visual guidance are recommended to ensure accurate treatment.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。