放射治疗中脑肿瘤描绘的医学因素及其软件设计

A. Aselmaa, Richard H.M. Goossens, B. Rowland, A. Laprie, Yu Song, A. Freudenthal
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引用次数: 4

摘要

在放射治疗中,描绘肿瘤宏观扩散的体积(GTV)和疾病微观扩散的周围体积(CTV)是制定高质量治疗计划的关键任务。为了设计一个同样支持认知的软件,软件设计者需要更深入地了解医生的认知过程和医疗环境。本文提出了一项关于确定与放射治疗背景下描绘相关的主要医学因素的研究,作为深化对软件设计理解的第一步。通过与六位放射肿瘤学家的两种讨论形式,我们确定了29个与肿瘤体积划分有关的医学因素,分为:治疗环境、肿瘤环境和肿瘤区域。此外,还阐述了多模态图像、剂量规划和未来愿望的作用。这些发现可以支持软件设计者使用基于证据的软件工程方法。预计基于本文提出的结果设计的软件,将针对放射肿瘤学家在描绘脑肿瘤时的医疗环境和认知需求进行定制,从而提高他们工作的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical Factors of Brain Tumor Delineation in Radiotherapy for Software Design
In radiotherapy, the delineations of the volume of the macroscopic spread of the tumor as the Gross Tumor Volume (GTV), and the surrounding volume of the microscopic spread of the disease as the Clinical Target Volume (CTV), are key tasks for a high quality treatment plan. In order to design a software that also supports cognition, software designers need a deeper understanding of the physicians’ cognitive processes and medical context. This paper presents a research about identifying main medical factors relevant for the delineation in the radiotherapy context as a first step in deepening the understanding for software design. Using two discussion formats with six radiation oncologists, we identified 29 medical factors regarding the delineations of tumorous volumes, categorized into: treatment context, tumor context and tumorous areas. In addition, the role of multimodal images, dose planning, and future wishes have been elaborated. These findings could support the software designers in using Evidence Based Software Engineering approach. It is expected that software designed based on the results presented here, is tailored towards the medical context and cognitive needs of radiation oncologists in the delineations of brain tumor, and therefore will improve the effectiveness and efficiency of their work.
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