Carleton Laboratory for Radiotherapy Physics, Department of Physics, Carleton University, Ottawa, Canada.
Department of Medical Physics, BC Cancer-Kelowna, Kelowna, British Columbia, Canada; Department of Physics, IK Barber School of Arts and Sciences, University of British Columbia-Okanagan, Kelowna, British Columbia, Canada.
Brachytherapy. 2021 May-Jun;20(3):686-694. doi: 10.1016/j.brachy.2020.12.009. Epub 2021 Feb 4.
Permanent breast seed implant using Pd is emerging as an effective adjuvant radiation technique for early stage breast cancer. However, clinical dose evaluations follow the water-based TG-43 approach with its considerable approximations. Toward clinical adoption of advanced TG-186 model-based dose evaluations, this study presents a comprehensive investigation for permanent breast seed implant considering both target and normal tissue doses.
Dose calculations are performed with the free open-source Monte Carlo (MC) code, egs_brachy, using two types of virtual patient models: TG43sim (simulated TG-43 conditions) and MCref (heterogeneous tissue modeling from patient CT, seeds at implant angle) for 35 patients. The sensitivity of dose metrics to seed orientation and tissue segmentation are assessed.
In the target volume, D is 14.1 ± 5.8% lower with MCref than with TG43sim, on average. Conversely, normal tissue doses are generally higher with MCref than with TG43sim, for example, by 22 ± 13% for skin D, 82 ± 7% for ribs D, and 71 ± 23% for heart D. Discrepancies between MCref and TG43sim doses vary over the patient cohort, as well as with the tissue and metric considered. Skin doses are particularly sensitive to seed orientation, with average difference of 4% (maximum 28%) in D for seeds modeled vertically (egs_brachy default) compared with those aligned with implant angle.
TG-43 dose evaluations generally underestimate doses to critical normal organs/tissues while overestimating target doses. There is considerable variation in MCref and TG43sim on a patient-by-patient basis, motivating clinical adoption of patient-specific MC dose calculations. The MCref framework presented herein provides a consistent modeling approach for clinical implementation of advanced TG-186 dose calculations.
使用 Pd 进行永久性乳房种子植入,作为早期乳腺癌的有效辅助放射技术,正在兴起。然而,临床剂量评估遵循基于水的 TG-43 方法,存在相当大的近似。为了将基于先进 TG-186 模型的剂量评估应用于临床,本研究针对目标和正常组织剂量,对永久性乳房种子植入进行了全面研究。
使用免费开源蒙特卡罗(MC)代码 egs_brachy 进行剂量计算,针对 35 名患者使用两种类型的虚拟患者模型:TG43sim(模拟 TG-43 条件)和 MCref(从患者 CT 进行异质组织建模,种子位于植入角度)。评估剂量指标对种子方向和组织分割的敏感性。
在靶区体积中,MCref 的 D 值比 TG43sim 平均低 14.1±5.8%。相反,MCref 的正常组织剂量通常比 TG43sim 高,例如,皮肤 D 高 22±13%,肋骨 D 高 82±7%,心脏 D 高 71±23%。MCref 与 TG43sim 剂量之间的差异在患者群体中以及所考虑的组织和指标上都有所不同。皮肤剂量对种子方向特别敏感,与垂直(egs_brachy 默认)建模的种子相比,与植入角度对齐的种子的 D 值平均差异为 4%(最大 28%)。
TG-43 剂量评估通常低估关键正常器官/组织的剂量,高估目标剂量。MCref 和 TG43sim 在患者个体之间存在相当大的差异,这促使临床采用特定于患者的 MC 剂量计算。本文提出的 MCref 框架为临床实施先进的 TG-186 剂量计算提供了一种一致的建模方法。