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AView:一种基于图像的用于颅内动脉瘤血流可视化和临床管理的临床计算工具。

AView: An Image-based Clinical Computational Tool for Intracranial Aneurysm Flow Visualization and Clinical Management.

作者信息

Xiang Jianping, Antiga Luca, Varble Nicole, Snyder Kenneth V, Levy Elad I, Siddiqui Adnan H, Meng Hui

机构信息

Toshiba Stroke and Vascular Research Center, University at Buffalo, The State University of New York, 875 Ellicott Street, Buffalo, NY, 14203, USA.

Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.

出版信息

Ann Biomed Eng. 2016 Apr;44(4):1085-96. doi: 10.1007/s10439-015-1363-y. Epub 2015 Jun 23.

DOI:10.1007/s10439-015-1363-y
PMID:26101034
Abstract

Intracranial aneurysms (IAs) occur in around 3% of the entire population. IA rupture is responsible for the most devastating type of hemorrhagic strokes, with high fatality and disability rates as well as healthcare costs. With increasing detection of unruptured aneurysms, clinicians are routinely faced with the dilemma whether to treat IA patients and how to best treat them. Hemodynamic and morphological characteristics are increasingly considered in aneurysm rupture risk assessment and treatment planning, but currently no computational tools allow routine integration of flow visualization and quantitation of these parameters in clinical workflow. In this paper, we introduce AView, a prototype of a clinician-oriented, integrated computation tool for aneurysm hemodynamics, morphology, and risk and data management to aid in treatment decisions and treatment planning in or near the procedure room. Specifically, we describe how we have designed the AView structure from the end-user's point of view, performed a pilot study and gathered clinical feedback. The positive results demonstrate AView's potential clinical value on enhancing aneurysm treatment decision and treatment planning.

摘要

颅内动脉瘤(IA)在整个人口中的发生率约为3%。IA破裂是最具毁灭性的出血性中风类型,致死率和致残率都很高,医疗成本也很高。随着未破裂动脉瘤检测率的增加,临床医生经常面临是否治疗IA患者以及如何最佳治疗他们的困境。在动脉瘤破裂风险评估和治疗规划中,血流动力学和形态学特征越来越受到重视,但目前尚无计算工具能够在临床工作流程中常规整合这些参数的血流可视化和定量分析。在本文中,我们介绍了AView,这是一种面向临床医生的集成计算工具原型,用于动脉瘤血流动力学、形态学、风险和数据管理,以辅助在手术室或其附近进行治疗决策和治疗规划。具体来说,我们描述了如何从最终用户的角度设计AView结构、进行试点研究并收集临床反馈。积极的结果证明了AView在增强动脉瘤治疗决策和治疗规划方面的潜在临床价值。

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