Moghadam Narjes, Akbari Fatemeh, Zhang Claire, Ouellet Samuel, McKeown Dakota, Hoseini-Ghahfarokhi Mojtaba, Parent Sandra, Carrier Jean-François, Lavallée Marie-Claude, Cygler Joanna E, Hilts Michelle, Vigneault Eric, Crook Juanita, Beaulieu Luc, Thomson Rowan M
Department of Physics, Carleton Laboratory for Radiotherapy Physics, Carleton University, Ottawa, Ontario, Canada.
Department of Medical Physics, BC Cancer-Kelowna, Kelowna, British Columbia, Canada; Department of Computer Science, Mathematics, Physics and Statistics, The University of British Columbia Okanagan, Kelowna, British Columbia, Canada.
Brachytherapy. 2025 Sep-Oct;24(5):744-753. doi: 10.1016/j.brachy.2025.04.005. Epub 2025 Jun 3.
This study aims to clinically implement eb_gui, a user-friendly toolkit for Monte Carlo simulations utilizing egs_brachy, in the context of low-dose-rate (LDR) brachytherapy for prostate and breast cancers.
A set of test cases, ranging from simple to complex scenarios including single- and multi-seed patient models, was developed for LDR brachytherapy of both breast (Pd) and prostate (I). Utilizing Digital Imaging and Communications in Medicine (DICOM) files, the open-source interface eb_gui was employed to compute doses. The commissioning process involved comparing eb_gui results against clinical TG-43 treatment planning system (TG43-TPS) calculations, encompassing point-by-point differences across 3D dose distributions, dose volume histograms, and dose metrics. Additionally, patient-specific dose distributions were computed using eb_gui's full-tissue models (TG186-MC) and compared against TG-43 Monte Carlo calculations (TG43-MC) across multiple cancer centers.
Excellent agreement was observed between TG43-TPS and TG43-MC calculated doses, with point-to-point differences of less than 1 Gy (∼1% of prescription dose) for breast and prostate cases. Comparisons between multicenter TG186-MC and TG43-MC doses highlighted discrepancies that underscore the limitations of the TG-43 formalism and affirming the necessity for a model-based dose calculation algorithm (MBDCA).
This study successfully developed a series of test cases and a commissioning workflow for implementing eb_gui in LDR brachytherapy across multiple centers. The findings underscore the potential of TG-186 MBDCA to enhance the precision of patient dosimetry and improve the accuracy of treatment outcome predictions in LDR brachytherapy. This work represents a significant step toward broader adoption of advanced dose calculation methodologies in clinical practice.
本研究旨在将eb_gui(一种利用egs_brachy进行蒙特卡罗模拟的用户友好型工具包)临床应用于前列腺癌和乳腺癌的低剂量率(LDR)近距离放射治疗。
针对乳腺癌(钯)和前列腺癌(碘)的LDR近距离放射治疗,开发了一组从简单到复杂的测试案例,包括单源和多源患者模型。利用医学数字成像和通信(DICOM)文件,采用开源界面eb_gui计算剂量。调试过程包括将eb_gui的结果与临床TG-43治疗计划系统(TG43-TPS)的计算结果进行比较,涵盖三维剂量分布、剂量体积直方图和剂量指标的逐点差异。此外,使用eb_gui的全组织模型(TG186-MC)计算患者特异性剂量分布,并在多个癌症中心与TG-43蒙特卡罗计算(TG43-MC)进行比较。
TG43-TPS和TG43-MC计算的剂量之间观察到极好的一致性,乳腺癌和前列腺癌病例的逐点差异小于1 Gy(约为处方剂量的1%)。多中心TG186-MC和TG43-MC剂量之间的比较突出了差异,强调了TG-43形式主义的局限性,并肯定了基于模型的剂量计算算法(MBDCA)的必要性。
本研究成功开发了一系列测试案例和调试工作流程,用于在多个中心的LDR近距离放射治疗中实施eb_gui。研究结果强调了TG-186 MBDCA在提高LDR近距离放射治疗中患者剂量测定精度和改善治疗结果预测准确性方面的潜力。这项工作代表了在临床实践中更广泛采用先进剂量计算方法的重要一步。