Rossi Giulio, Peppa Vasiliki, Gainey Mark, Kollefrath Michael, Sprave Tanja, Papagiannis Panagiotis, Baltas Dimos
Division of Medical Physics, Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, German Cancer Consortium (DKTK), Partner Site DKTK, Freiburg, Germany.
Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Greece.
Phys Imaging Radiat Oncol. 2024 Nov 16;32:100673. doi: 10.1016/j.phro.2024.100673. eCollection 2024 Oct.
TG-43-based dose calculations disregard tissue heterogeneities and finite scatter conditions, prompting the introduction of model-based dose calculation algorithms (MBDCAs) to improve accuracy in high-dose-rate (HDR) brachytherapy. This study evaluated the effectiveness of MBDCAs over TG-43 in HDR Ir brachytherapy of extended scalp lesions. Treatment planning dose calculations were compared with Monte Carlo (MC) data. TG-43 exhibited a dose overestimation ranging from 10% to 23% as the distance from the implant increased, while a better agreement from 2% to 6% was observed between the MBDCA and MC, supporting the adoption of MBDCAs for dose calculations in broad scalp lesions.
基于TG-43的剂量计算忽略了组织异质性和有限散射条件,促使引入基于模型的剂量计算算法(MBDCA)以提高高剂量率(HDR)近距离放射治疗的准确性。本研究评估了MBDCA在扩展头皮病变的HDR铱近距离放射治疗中相对于TG-43的有效性。将治疗计划剂量计算与蒙特卡罗(MC)数据进行比较。随着与植入物距离的增加,TG-43表现出10%至23%的剂量高估,而MBDCA与MC之间观察到2%至6%的更好一致性,支持在广泛头皮病变的剂量计算中采用MBDCA。