Department of Radiation Oncology, North West Cancer Centre-Tamworth Hospital, Tamworth, Australia.
Department of Medical Physics, Al-Neelain University, 11121, Khartoum, Sudan.
Phys Eng Sci Med. 2021 Sep;44(3):871-886. doi: 10.1007/s13246-021-01029-8. Epub 2021 Jun 17.
To obtain dose distributions more physically representative to the patient anatomy in brachytherapy, calculation algorithms that can account for heterogeneity are required. The current standard AAPM Task Group No 43 (TG-43) dose calculation formalism has some clinically relevant dosimetric limitations. Lack of tissue heterogeneity and scattered dose corrections are the major weaknesses of the TG-43 formalism and could lead to systematic dose errors in target volumes and organs at risk. Over the last decade, model-based dose calculation algorithms (MBDCAs) have been clinically offered as complementary algorithms beyond the TG43 formalism for high dose rate (HDR) brachytherapy treatment planning. These algorithms provide enhanced dose calculation accuracy by using the information in the patient's computed tomography images, which allows modeling the patient's geometry, material compositions, and the treatment applicator. Several researchers have investigated the implementation of MBDCAs in HDR brachytherapy for dose optimization, but moving toward using them as primary algorithms for dose calculations is still lagging. Therefore, an overview of up-to-date research is needed to familiarize clinicians with the current status of the MBDCAs for different cancers in HDR brachytherapy. In this paper, we review the MBDCAs for HDR brachytherapy from a dosimetric perspective. Treatment sites covered include breast, gynecological, lung, head and neck, esophagus, liver, prostate, and skin cancers. Moreover, we discuss the current status of implementation of MBDCAs and the challenges.
为了在近距离放射治疗中获得更能反映患者解剖结构的剂量分布,需要使用能够考虑异质性的计算算法。当前的标准 AAPM 工作组第 43 号(TG-43)剂量计算形式存在一些与临床相关的剂量学限制。组织非均质性和散射剂量校正的缺乏是 TG-43 形式的主要弱点,可能导致靶区和危及器官的系统性剂量误差。在过去十年中,基于模型的剂量计算算法(MBDCAs)已作为 TG43 形式之外的补充算法,在高剂量率(HDR)近距离放射治疗计划中提供临床应用。这些算法通过使用患者的计算机断层扫描图像中的信息来提供增强的剂量计算准确性,从而允许对患者的几何形状、材料组成和治疗施源器进行建模。许多研究人员已经研究了在 HDR 近距离放射治疗中实施 MBDCAs 以进行剂量优化,但将其用作剂量计算的主要算法仍存在滞后。因此,需要对最新研究进行概述,以使临床医生熟悉 HDR 近距离放射治疗中不同癌症的 MBDCAs 的现状。在本文中,我们从剂量学角度回顾了 HDR 近距离放射治疗中的 MBDCAs。涵盖的治疗部位包括乳腺癌、妇科、肺癌、头颈部、食管、肝脏、前列腺和皮肤癌。此外,我们还讨论了 MBDCAs 的当前实施状况和挑战。