一种用于累积肿瘤测量的跨平台分布式数据库系统。
A cross-platform and distributive database system for cumulative tumor measurement.
作者信息
Huang Jiaxin, Bluemke David A, Zhang Xiao, Summers Ronald M, Folio Les R, Yao Jianhua
机构信息
National Institutes of Health Clinical Center, Bethesda, MD, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1266-9. doi: 10.1109/EMBC.2012.6346168.
Abstract
This paper discusses the development of a cross-platform, web accessible, vendor-independent database system capable of storing and comparing longitudinal tumor measurements for multiple tumors. This innovative system can create a comprehensive cumulative report that summarizes clinical findings and links to the original image studies, which will clinically enhance the workflow of oncologists. A case study on a pancreatic tumor data set with 524 tumor measurements and 134 patients is demonstrated.
摘要
本文讨论了一种跨平台、可通过网络访问、独立于供应商的数据库系统的开发，该系统能够存储和比较多个肿瘤的纵向肿瘤测量数据。这个创新系统可以创建一份全面的累积报告，总结临床发现并链接到原始图像研究，这将在临床上优化肿瘤学家的工作流程。文中展示了一个关于胰腺肿瘤数据集的案例研究，该数据集包含524次肿瘤测量数据和134名患者。
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Cancer Inform. 2007;4:33-56. doi: 10.4137/cin.s37032. Epub 2007 May 12.
2
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).实体瘤新的疗效评价标准：修订的RECIST指南（第1.1版）
Eur J Cancer. 2009 Jan;45(2):228-47. doi: 10.1016/j.ejca.2008.10.026.
3
Tool support to enable evaluation of the clinical response to treatment.支持评估治疗临床反应的工具。
AMIA Annu Symp Proc. 2008 Nov 6;2008:399-403.
4
HL7 and DICOM based integration of radiology departments with healthcare enterprise information systems.基于HL7和DICOM的放射科与医疗企业信息系统集成。
Int J Med Inform. 2007 Dec;76 Suppl 3:S425-32. doi: 10.1016/j.ijmedinf.2007.05.001. Epub 2007 Jun 28.
5
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J Digit Imaging. 2006 Dec;19(4):295-306. doi: 10.1007/s10278-006-0631-7.
6
DICOM structured reporting: Part 2. Problems and challenges in implementation for PACS workstations.医学数字成像和通信（DICOM）结构化报告：第2部分。PACS工作站实施中的问题与挑战。
Radiographics. 2004 May-Jun;24(3):897-909. doi: 10.1148/rg.243035722.
7
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