Department of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China.
Ruijia Technology, Inc., Wuhan, China.
J Digit Imaging. 2019 Apr;32(2):269-275. doi: 10.1007/s10278-018-0128-1.
Radiomics has been shown to have considerable potential and value in quantifying the tumor phenotype and predicting the treatment response. In most scenarios, the commercial and open-source software programs are available for quantitative analysis in medical images to streamline radiomics research. However, at this stage, most of these programs are local applications and require users to have experience in programming and software engineering, which clinicians usually do not have. Therefore, in this article, a web-based tool was proposed to flexibly support radiomics research workflow tasks. Radiomics in RayPlus requires zero installation, is easy to maintain, and accessible anywhere via any PC or MAC with an Internet connection. The system provides functions including multimodality image import and viewing, ROI definition, feature extraction, and data sharing. As a web application, it appears an effective way to multi-institution and multi-department collaborative radiomics research and moreover, its transparency, flexibility, and portability can greatly accelerate the pace of clinical data analysis.
放射组学在定量肿瘤表型和预测治疗反应方面具有很大的潜力和价值。在大多数情况下,商业和开源软件程序可用于对医学图像进行定量分析,以简化放射组学研究。然而,在现阶段,这些程序大多是本地应用程序,需要用户具备编程和软件工程方面的经验,而临床医生通常并不具备这些经验。因此,本文提出了一种基于网络的工具,以灵活地支持放射组学研究工作流程任务。在 RayPlus 中的放射组学无需安装,易于维护,并且通过任何具有 Internet 连接的 PC 或 MAC 都可以在任何地方访问。该系统提供了多种功能,包括多模态图像导入和查看、ROI 定义、特征提取和数据共享。作为一种网络应用程序,它似乎是进行多机构和多部门协作放射组学研究的有效方法,而且,它的透明度、灵活性和可移植性可以大大加快临床数据分析的步伐。