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NI-52TOWARDS IMPROVED INTEGRATION OF ADVANCED IMAGING TECHNIQUES INTO THE NEUROSURGICAL OPERATING SUITE: A CANADIAN EXPERIENCE

机译:NI-52:将先进的成像技术改进集成到神经外科手术室中:加拿大的经验

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摘要

BACKGROUND: Based on a prior needs-based questionnaire performed by our group, qualitative evidence suggests that neurosurgeons feel that image processing techniques can lead to safer and more effective operations. A wealth of image processing applications has been developed over the past several decades for the facilitation of improved surgical planning and image guidance including image registration, segmentation (of tumor, peri-tumoral edema and relevant structures), and diffusion tractography. Some of these tools have been successfully integrated into commercial surgical planning and neuronavigation systems, either as part of core functionality or as add-on packages. The Canadian healthcare system presents unique challenges to the integration of advanced imaging techniques into the clinical workflow. With limited resources, hospital administrators invest in medical devices that provide a balance of improvements in patient care while also proving to be cost effective. While neuronavigation itself has become standard of care, investment in additional commercially-available advanced imaging applications can be difficult to justify. METHODS: In collaboration with researchers at Robarts Research Institute, we have developed a framework for improved integration of advanced imaging protocols into the clinical workflow. RESULTS: We have devised a platform for the practical application and testing of image processing software for neurosurgical purposes. Our findings have been summarized in a schematic diagram outlining the workflow for the translation of image processing technologies to the operating room. CONCLUSIONS: We have developed a clinical framework that allows for use of essential commercial surgical planning and neuronavigation workstations, as well as concurrently taking advantage of university-level medical imaging expertise. This collaborative framework provides a backbone for knowledge translation from research to clinical realms and acts as a first step toward more standardized surgical planning and intra-operative neuronavigation.
机译:背景:根据我们小组先前进行的基于需求的问卷调查,定性证据表明神经外科医师认为图像处理技术可以带来更安全,更有效的手术。在过去的几十年中,为促进改进的手术计划和图像指导,已经开发了大量的图像处理应用程序,包括图像配准,图像分割(肿瘤,肿瘤周围水肿和相关结构)和扩散束摄影。这些工具中的一些已作为核心功能的一部分或作为附加软件包已成功集成到商业手术计划和神经导航系统中。加拿大医疗保健系统对将先进的成像技术集成到临床工作流程中提出了独特的挑战。在资源有限的情况下,医院管理员会投资于医疗设备,这些设备可在改善患者护理方面取得平衡,同时也证明具有成本效益。尽管神经导航本身已成为护理的标准,但很难证明在其他商业上可用的高级成像应用中进行投资的合理性。方法:与Robarts研究所的研究人员合作,我们开发了一个框架,用于将高级成像协议更好地集成到临床工作流程中。结果:我们设计了一个平台,用于神经外科目的图像处理软件的实际应用和测试。我们的发现已在示意图中进行了概述,概述了将图像处理技术转换为手术室的工作流程。结论:我们已经开发出一种临床框架,该框架允许使用必要的商业手术计划和神经导航工作站,并同时利用大学水平的医学影像专业知识。这种协作框架为从研究到临床领域的知识转化提供了基础,并朝着更标准化的手术计划和术中神经导航迈出了第一步。

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