首页> 外文会议>Conference on physiology and function from multidimensional images >Performance of computed tomographic colonography improved by total quality management techniques
【24h】

Performance of computed tomographic colonography improved by total quality management techniques

机译:通过全质量管理技术改善了计算断层形成的性能

获取原文

摘要

Our institution has been using an internally developed system for the analysis of Computed Tomographic Colonography (CTC) since 1994. This system has gone through several major revisions during that period. Careful application of 'total quality management' (TQM) principles have been utilized to enhance such aspects of performance as patient comfort, latency between examination and reporting of results, capability and reliability of 'picture archive system' (PACS) and network components, as well as reliability of results. CTC is now being practiced at our institution for clinical screening and research applications. To date, 1500 patients have been scanned. On an average day, six patients are scanned for research and/or clinical purposes. Research patient data remain on the CTC workstation for future analysis by the Radiologists while clinical patient data are analyzed as soon as the data have been received at the CTC workstation. An enlarged dynamic axial stack augmented by multiple interactive, off axis reformatted and perspective volume rendered endoluminal views have proven to be the most effective reading mode. Well over 1000 patient scans have been analyzed utilizing this specific protocol. When compared to corresponding patient BE and/or Colonoscopy procedures, CTC findings of potential cancers and polyps have compared very favorably.
机译:自1994年以来,我们的机构一直在使用内部开发的系统来分析计算机断层形成的分析(CTC)。该系统在此期间经历了几个主要修订。仔细应用“全质量管理”(TQM)原则已被利用,以提高患者舒适性,审查与报告结果,“图片档案系统”(PACS)和网络组件的可靠性之间的潜伏期等方面,如以及结果的可靠性。 CTC现已在我们的临床筛查和研究应用中实施。迄今为止,已扫描了1500名患者。在平均的一天,扫描六名患者进行研究和/或临床目的。研究患者数据留在CTC工作站上,以便在CTC工作站收到数据后,在分析临床患者数据时,分析临床患者数据。由多个交互式偏离轴重新格式化和透视体积增强的放大动态轴向堆叠已被证明是最有效的阅读模式。利用此特定协议分析了超过1000名患者扫描。与相应的患者和/或结肠镜检查程序相比,潜在癌症和息肉的CTC结果非常有利地比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号