Medical Physics Unit, McGill University, Montreal, Quebec, Canada.
Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Med Phys. 2022 Nov;49(11):7327-7335. doi: 10.1002/mp.15900. Epub 2022 Aug 8.
Dose-outcome studies in radiation oncology have historically excluded spatial information due to dose-volume histograms being the most dominant source of dosimetric information. In recent years, dose-surface maps (DSMs) have become increasingly popular for characterization of spatial dose distributions and identification of radiosensitive subregions for hollow organs. However, methodological variations and lack of open-source, publicly offered code-sharing between research groups have limited reproducibility and wider adoption.
This paper presents rtdsm, an open-source software for DSM calculation with the intent to improve the reproducibility of and the access to DSM-based research in medical physics and radiation oncology.
A literature review was conducted to identify essential functionalities and prevailing calculation approaches to guide development. The described software has been designed to calculate DSMs from DICOM data with a high degree of user customizability and to facilitate DSM feature analysis. Core functionalities include DSM calculation, equivalent dose conversions, common DSM feature extraction, and simple DSM accumulation.
A number of use cases were used to qualitatively and quantitatively demonstrate the use and usefulness of rtdsm. Specifically, two DSM slicing methods, planar and noncoplanar, were implemented and tested, and the effects of method choice on output DSMs were demonstrated. An example comparison of DSMs from two different treatments was used to highlight the use cases of various built-in analysis functions for equivalent dose conversion and DSM feature extraction.
We developed and implemented rtdsm as a standalone software that provides all essential functionalities required to perform a DSM-based study. It has been made freely accessible under an open-source license on Github to encourage collaboration and community use.
在放射肿瘤学中，剂量-效应研究由于剂量体积直方图是最主要的剂量信息来源，因此历史上一直排除空间信息。近年来，剂量-表面图（DSMs）越来越受欢迎，用于描述空间剂量分布，并识别中空器官的放射性敏感亚区。然而，由于方法上的差异以及研究小组之间缺乏开源的、公开的代码共享，限制了其可重复性和更广泛的应用。
本文提出了 rtdsm，这是一种用于 DSM 计算的开源软件，旨在提高医学物理学和放射肿瘤学中基于 DSM 的研究的可重复性和可访问性。
进行了文献回顾，以确定基本功能和流行的计算方法，以指导开发。所描述的软件旨在从 DICOM 数据中计算 DSM，具有高度的用户可定制性，并便于 DSM 特征分析。核心功能包括 DSM 计算、等效剂量转换、常见 DSM 特征提取和简单的 DSM 积累。
使用了一些用例来定性和定量地演示 rtdsm 的使用和实用性。具体来说，实现并测试了两种 DSM 切片方法，即平面和非共面方法，并演示了方法选择对输出 DSM 的影响。通过比较两种不同治疗方法的 DSM，突出了各种内置分析功能在等效剂量转换和 DSM 特征提取方面的用途。
我们开发并实现了 rtdsm，作为一个独立的软件，提供了执行基于 DSM 的研究所需的所有基本功能。它已在 Github 上以开源许可证免费提供，以鼓励协作和社区使用。
