Goyal Nikhil, Apolo Andrea B, Berman Eliana D, Bagheri Mohammad Hadi, Levine Jason E, Glod John W, Kaplan Rosandra N, Machado Laura B, Folio Les R
Radiology and Imaging Sciences, CC, NIH, Building 10, 9000 Rockville Pike, Bethesda, MD, 20892, USA.
Genitourinary Malignancies Branch, NCI, NIH, Building 10, 9000 Rockville Pike, Bethesda, MD, 20892, USA.
J Digit Imaging. 2017 Jun;30(3):275-286. doi: 10.1007/s10278-016-9938-1.
Oncologists evaluate therapeutic response in cancer trials based on tumor quantification following selected "target" lesions over time. At our cancer center, a majority of oncologists use Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 quantifying tumor progression based on lesion measurements on imaging. Currently, our oncologists handwrite tumor measurements, followed by multiple manual data transfers; however, our Picture Archiving Communication System (PACS) (Carestream Health, Rochester, NY) has the ability to export tumor measurements, making it possible to manage tumor metadata digitally. We developed an interface, "Exportable Notation and Bookmark List Engine" (ENABLE), which produces prepopulated RECIST v1.1 worksheets and compiles cohort data and data models from PACS measurement data, thus eliminating handwriting and manual data transcription. We compared RECIST v1.1 data from eight patients (16 computed tomography exams) enrolled in an IRB-approved therapeutic trial with ENABLE outputs: 10 data fields with a total of 194 data points. All data in ENABLE's output matched with the existing data. Seven staff were taught how to use the interface with a 5-min explanatory instructional video. All were able to use ENABLE successfully without additional guidance. We additionally assessed 42 metastatic genitourinary cancer patients with available RECIST data within PACS to produce a best response waterfall plot. ENABLE manages tumor measurements and associated metadata exported from PACS, producing forms and data models compatible with cancer databases, obviating handwriting and the manual re-entry of data. Automation should reduce transcription errors and improve efficiency and the auditing process.
肿瘤学家在癌症试验中根据选定的“靶”病变随时间的肿瘤量化来评估治疗反应。在我们的癌症中心，大多数肿瘤学家使用实体瘤疗效评价标准（RECIST）v1.1，根据影像学上的病变测量来量化肿瘤进展。目前，我们的肿瘤学家手写肿瘤测量数据，随后进行多次手动数据传输；然而，我们的图像存档与通信系统（PACS）（Carestream Health，纽约州罗切斯特）能够导出肿瘤测量数据，从而有可能以数字方式管理肿瘤元数据。我们开发了一个接口“可导出注释和书签列表引擎”（ENABLE），它可以生成预先填充的RECIST v1.1工作表，并从PACS测量数据中编译队列数据和数据模型，从而消除手写和手动数据转录。我们将参加一项经机构审查委员会批准的治疗试验的8名患者（16次计算机断层扫描检查）的RECIST v1.1数据与ENABLE的输出结果进行了比较：10个数据字段，共194个数据点。ENABLE输出中的所有数据与现有数据匹配。通过一个5分钟的解释性教学视频，向7名工作人员传授了如何使用该接口。所有人都能够在无需额外指导的情况下成功使用ENABLE。我们还评估了42例在PACS中有可用RECIST数据的转移性泌尿生殖系统癌症患者，以生成最佳反应瀑布图。ENABLE管理从PACS导出的肿瘤测量数据和相关元数据，生成与癌症数据库兼容的表格和数据模型，避免了手写和数据的手动重新输入。自动化应能减少转录错误，提高效率和审核过程。
