Narjes Moghadam, Fatemeh Akbari, Claire Zhang, Samuel Ouellet, Dakota McKeown, Mojtaba Hoseini-Ghahfarokhi, Sandra Parent, Jean-François Carrier, Marie-Claude Lavallée, Joanna E Cygler, Michelle Hilts, Eric Vigneault, Juanita Crook, Luc Beaulieu, Rowan M Thomson
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引用次数: 0
Abstract
Purpose: 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.
Methods: 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 (103Pd) and prostate (125I). 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.
Results: 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).
Conclusion: 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.
目的:本研究旨在临床实现eb_gui,这是一个使用egs_brachy进行蒙特卡罗模拟的用户友好工具包,用于前列腺癌和乳腺癌的低剂量率(LDR)近距离放疗。方法:为乳腺(103Pd)和前列腺(125I)的LDR近距离放射治疗建立了一组从简单到复杂的测试案例,包括单种子和多种子患者模型。利用DICOM (Digital Imaging and Communications in Medicine)文件,采用开源接口eb_gui计算剂量。调试过程包括将eb_gui结果与临床TG-43治疗计划系统(TG43-TPS)计算结果进行比较,包括3D剂量分布、剂量体积直方图和剂量指标之间的逐点差异。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,并与TG-43蒙特卡罗计算(TG43-MC)在多个癌症中心进行比较。结果:TG43-TPS和TG43-MC计算剂量之间的一致性非常好,对于乳腺和前列腺病例,点对点差异小于1 Gy(处方剂量的1%)。多中心TG186-MC和TG43-MC剂量的比较强调了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。结论:本研究成功开发了一系列测试用例和调试工作流程,用于跨多中心在LDR近距离治疗中实施eb_gui。这些发现强调了TG-186 MBDCA在LDR近距离放疗中提高患者剂量测定精度和提高治疗结果预测准确性的潜力。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。