Yang Hao, Guo Xiaotao, Schwartz Lawrence H, Zhao Binsheng
Department of Radiology, Columbia University Medical Center, New York, NY.
Tomography. 2019 Mar;5(1):220-225. doi: 10.18383/j.tom.2019.00006.
Quantitative imaging biomarkers are increasingly used in oncology clinical trials to assist the evaluation of tumor responses to novel therapies. To identify these biomarkers and ensure smooth clinical translation once they have been validated, it is critical to develop a reliable workflow-efficient imaging platform for integration in clinical settings. Here we will present a web-based volumetric response-assessment system that we developed based on an open-source image viewing platform (WEASIS) and a DICOM image archive (DCM4CHEE). Our web-based response-assessment system offers a DICOM imaging archiving function, standard imaging viewing and manipulation functions, efficient tumor segmentation and quantification algorithms, and a reliable database containing tumor segmentation and measurement results. The prototype system is currently used in our research lab to foster the development and validation of new quantitative imaging biomarkers, including the volumetric computed tomography technique, as a more accurate and early assessment method of solid tumor responses to targeted and immunotherapies.
定量成像生物标志物在肿瘤学临床试验中越来越多地用于辅助评估肿瘤对新疗法的反应。为了识别这些生物标志物并在其得到验证后确保顺利的临床转化，开发一个可靠的、工作流程高效的成像平台以集成到临床环境中至关重要。在此，我们将展示一个基于网络的容积反应评估系统，该系统是我们基于开源图像查看平台（WEASIS）和DICOM图像存档（DCM4CHEE）开发的。我们基于网络的反应评估系统提供DICOM成像存档功能、标准成像查看和操作功能、高效的肿瘤分割和量化算法，以及一个包含肿瘤分割和测量结果的可靠数据库。该原型系统目前在我们的研究实验室中用于促进新的定量成像生物标志物的开发和验证，包括容积计算机断层扫描技术，作为实体瘤对靶向治疗和免疫治疗反应的更准确和早期评估方法。
