可视化支持远程协作动脉瘤治疗计划。

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL
Rebecca Preßler, Monique Meuschke, Bernhard Preim, Kai Lawonn
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引用次数: 0

摘要

目的:脑动脉瘤是在血管壁薄弱处形成的充满血液的肿块,其破裂可导致危及生命的后果。鉴于与这些动脉瘤相关的高风险,彻底的检查和分析对于确定适当的治疗是必不可少的。虽然现有的工具,如ANEULYSIS及其基于网络的对等工具WEBANEULYSIS提供了分析模拟动脉瘤数据的交互式手段,但它们缺乏对协作分析的支持,而协作分析对于加强医疗团队会议的解释和改进治疗决策至关重要。方法:为了解决这一局限性,我们引入了WEBCOANEULYSIS,这是一种用于动脉瘤数据分析的新型协作工具。WEBCOANEULYSIS建立在已建立的可视化技术WEBANEULYSIS的基础上,同时结合创新的协作功能,以促进医疗专业人员之间的联合分析和讨论。该工具由三名医生和两名可视化专家进行评估,他们评估了其可用性、功能和支持协作决策的有效性。结果:评价结果绝大多数是肯定的。医生们特别赞赏该工具能够提供动脉瘤数据的清晰概述,同时保持其易用性,尽管其功能复杂。虽然提出了一些小的改进建议,但总体反馈强调了WEBCOANEULYSIS在改进协作分析和治疗计划方面的好处。结论:WEBCOANEULYSIS通过实现医疗专业人员之间的实时协作来增强动脉瘤数据分析,从而支持更明智的治疗决策。除了在风险分析和治疗计划方面的主要应用之外,该工具在患者教育和新医生培训方面也有潜在的好处,使其成为医疗可视化和决策支持系统领域的一个有价值的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization support for remote collaborative aneurysm treatment planning.

Purpose: Cerebral aneurysms are blood-filled bulges that form at weak points in blood vessel walls, and their rupture can lead to life-threatening consequences. Given the high risk associated with these aneurysms, thorough examination and analysis are essential for determining appropriate treatment. While existing tools such as ANEULYSIS and its web-based counterpart WEBANEULYSIS provide interactive means for analyzing simulated aneurysm data, they lack support for collaborative analysis, which is crucial for enhancing interpretation and improving treatment decisions in medical team meetings.

Methods: To address this limitation, we introduce WEBCOANEULYSIS, a novel collaborative tool for aneurysm data analysis. WEBCOANEULYSIS builds upon the established visualization techniques of WEBANEULYSIS while incorporating innovative collaborative features to facilitate joint analysis and discussion among medical professionals. The tool was evaluated by three physicians and two visualization experts, who assessed its usability, functionality, and effectiveness in supporting collaborative decision-making.

Results: The evaluation results were overwhelmingly positive. The physicians particularly appreciated the tool's ability to provide a clear overview of aneurysm data while maintaining ease of use despite its complex functionality. Although minor suggestions for improvement were made, the overall feedback highlighted the benefits of WEBCOANEULYSIS in improving collaborative analysis and treatment planning.

Conclusion: WEBCOANEULYSIS enhances aneurysm data analysis by enabling real-time collaboration among medical professionals, thereby supporting more informed treatment decisions. Beyond its primary application in risk analysis and treatment planning, the tool also has potential benefits for patient education and the training of new doctors, making it a valuable addition to the field of medical visualization and decision support systems.

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来源期刊
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
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