Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center [0.03%]
大型社区癌症中心临床试验资格筛查人工智能优化工具
J Thaddeus Beck,Melissa Rammage,Gretchen P Jackson et al.
J Thaddeus Beck et al.
Purpose: Less than 5% of patients with cancer enroll in clinical trials, and 1 in 5 trials are stopped for poor accrual. We evaluated an automated clinical trial matching system that uses natural language processing to ex...
Feasibility of Cancer Clinical Trial Enrollment Goals Based on Cancer Incidence [0.03%]
基于癌症发病率的临床试验入组目标可行性研究
George Tran,Matthew Harker,Karen Chiswell et al.
George Tran et al.
Purpose: More than 20% of US clinical trials fail to accrue sufficiently. Our purpose was to provide a benchmark for better understanding clinical trial enrollment feasibility and to assess relative levels of competition ...
Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma [0.03%]
一种开放式自然语言处理流程：用于自动进行临床档案审查并应用于胶质母细胞瘤患者的影像放射学报告
Joeky T Senders,Logan D Cho,Paola Calvachi et al.
Joeky T Senders et al.
Purpose: The aim of this study was to develop an open-source natural language processing (NLP) pipeline for text mining of medical information from clinical reports. We also aimed to provide insight into why certain varia...
Negligible Effects of the Survey Modes for Patient-Reported Outcomes: A Report From the Childhood Cancer Survivor Study [0.03%]
儿童癌症生存者研究中的患者报告结果的调查方式影响较小：来自儿童癌症幸存者研究的报道
Jin-Ah Sim,Geehong Hyun,Todd M Gibson et al.
Jin-Ah Sim et al.
Purpose: This study compared the measurement properties for multiple modes of survey administration, including postal mail, telephone interview, and Web-based completion of patient-reported outcomes (PROs) among survivors...
Standards-Based Clinical Decision Support Platform to Manage Patients Who Meet Guideline-Based Criteria for Genetic Evaluation of Familial Cancer [0.03%]
基于指南的遗传咨询家系癌症患者的临床决策支持平台标准
Guilherme Del Fiol,Wendy Kohlmann,Richard L Bradshaw et al.
Guilherme Del Fiol et al.
Purpose: The ubiquitous adoption of electronic health records (EHRs) with family health history (FHH) data provides opportunities for tailoring cancer screening strategies to individuals. We aimed to enable a standards-ba...
Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study [0.03%]
数据标准化的呼唤：一项影像学研究的经验与启示
Amrita Basu,Denise Warzel,Aras Eftekhari et al.
Amrita Basu et al.
Purpose: Data sharing creates potential cost savings, supports data aggregation, and facilitates reproducibility to ensure quality research; however, data from heterogeneous systems require retrospective harmonization. Th...
Development and Usage of eContour, a Novel, Three-Dimensional, Image-Based Web Site to Facilitate Access to Contouring Guidelines at the Point of Care [0.03%]
eContour网站的开发和使用：一种新的基于图像的三维网站，用于在治疗过程中便于查阅轮廓勾画指南
Michael V Sherer,Diana Lin,Kartikeya Puri et al.
Michael V Sherer et al.
Purpose: Variation in contouring quality by radiation oncologists is common and can have significant clinical consequences. Image-based guidelines can improve contour accuracy but are underused. We sought to develop a fre...
Feasibility of Capturing Cancer Treatment Data in the Utah All-Payer Claims Database [0.03%]
犹他全付费者索赔数据库中捕获癌症治疗数据的可行性研究
Mia Hashibe,Judy Y Ou,Kimberly Herget et al.
Mia Hashibe et al.
Purpose: Incompleteness of treatment data is a recognized limitation of cancer registry data. An all-payer claims database (APCD) is a tool that states use to capture health care information across systems and payer. We l...
Impact of Increasing Wait Times on Overall Mortality of Chimeric Antigen Receptor T-Cell Therapy in Large B-Cell Lymphoma: A Discrete Event Simulation Model [0.03%]
延长等待时间对大B细胞淋巴瘤嵌合抗原受体T细胞治疗的整体生存率的影响：基于离散事件模拟模型的研究
Stephen Tully,Zeny Feng,Kelly Grindrod et al.
Stephen Tully et al.
Purpose: The development of chimeric antigen receptor (CAR) T cells has transformed oncology treatment, with the potential to cure certain cancers. Although shown to be effective in selected populations and studies, CAR T...
Applying Data Warehousing to a Phase III Clinical Trial From the Fondazione Italiana Linfomi Ensures Superior Data Quality and Improved Assessment of Clinical Outcomes [0.03%]
意大利淋巴瘤基金会三期临床试验应用数据仓储确保了更佳的数据质量和临床疗效评估结果
Gian Maria Zaccaria,Simone Ferrero,Samanta Rosati et al.
Gian Maria Zaccaria et al.
Purpose: Data collection in clinical trials is becoming complex, with a huge number of variables that need to be recorded, verified, and analyzed to effectively measure clinical outcomes. In this study, we used data wareh...