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AView——一种用于颅内动脉瘤形态学、血流动力学及治疗管理的临床计算平台的初步临床经验

Initial Clinical Experience with AView-A Clinical Computational Platform for Intracranial Aneurysm Morphology, Hemodynamics, and Treatment Management.

作者信息

Xiang Jianping, Varble Nicole, Davies Jason M, Rai Ansaar T, Kono Kenichi, Sugiyama Shin-Ichiro, Binning Mandy J, Tawk Rabih G, Choi Hoon, Ringer Andrew J, Snyder Kenneth V, Levy Elad I, Hopkins L Nelson, Siddiqui Adnan H, Meng Hui

机构信息

Toshiba Stroke and Vascular Research Center, University at Buffalo, State University of New York, Buffalo, New York, USA; Department of Neurosurgery, University at Buffalo, State University of New York, Buffalo, New York, USA.

Toshiba Stroke and Vascular Research Center, University at Buffalo, State University of New York, Buffalo, New York, USA; Department of Mechanical and Aerospace Engineering, University at Buffalo, State University of New York, Buffalo, New York, USA.

出版信息

World Neurosurg. 2017 Dec;108:534-542. doi: 10.1016/j.wneu.2017.09.030. Epub 2017 Sep 15.

Abstract

BACKGROUND

The management of intracranial aneurysm (IA) is challenging. Clinicians often rely on varied and intuitively disparate ways of evaluating rupture risk that may only partially take into account complex hemodynamic and morphologic factors. We developed a prototype of a clinically oriented, streamlined, computational platform, AView, for rapid assessment of hemodynamics and morphometrics in clinical settings. To show the potential clinical utility of AView, we report our initial multicenter experience highlighting the possible advantages of morphologic and hemodynamic analysis of IAs.

METHODS

AView software was deployed across 8 medical centers (6 in the United States, 2 in Japan). Eight clinicians were trained and used the AView software between September 2012 and January 2013.

RESULTS

We present 12 illustrative cases that show the potential clinical utility of AView. For all, morphology and hemodynamics, flow visualization, and rupture resemblance score (a surrogate for rupture risk) were provided. In 3 cases, AView could confirm the clinicians' decision to treat; in 3 cases, it could suggest which aneurysms may be at greater risk among multiple aneurysms; in 5 cases, AView could provide additional information for use during treatment decisions for ambiguous situations. In one stent-assisted coiling case, flow visualization predicted that the intuitive choice for stent placement could have resulted in sacrifice of an anterior cerebral artery due to blockage by coils and led clinicians to reconsider treatment plans.

CONCLUSIONS

AView has the potential to confirm decisions to treat IAs, suggest which among multiple aneurysms to treat, and guide treatment decisions. Furthermore, the flow visualization it affords can inform aneurysm treatment planning and potentially avoid poor outcomes.

摘要

背景

颅内动脉瘤(IA)的管理具有挑战性。临床医生通常依靠各种直观上不同的方法来评估破裂风险,而这些方法可能仅部分考虑了复杂的血流动力学和形态学因素。我们开发了一个面向临床的、简化的计算平台AView的原型,用于在临床环境中快速评估血流动力学和形态学指标。为了展示AView的潜在临床应用价值,我们报告了我们的初步多中心经验,突出了IA形态学和血流动力学分析的可能优势。

方法

AView软件在8个医疗中心(美国6个,日本2个)进行了部署。2012年9月至2013年1月期间,8名临床医生接受了培训并使用了AView软件。

结果

我们展示了12个说明性案例,展示了AView的潜在临床应用价值。所有案例均提供了形态学和血流动力学、血流可视化以及破裂相似性评分(破裂风险的替代指标)。在3个案例中,AView可以确认临床医生的治疗决定;在3个案例中,它可以提示在多个动脉瘤中哪些可能具有更高的风险;在5个案例中,AView可以为处理不明确情况的治疗决策提供额外信息。在1例支架辅助弹簧圈栓塞病例中,血流可视化预测,支架放置的直观选择可能会因弹簧圈堵塞而导致大脑前动脉牺牲,从而促使临床医生重新考虑治疗方案。

结论

AView有潜力确认IA的治疗决定,提示多个动脉瘤中应治疗哪一个,并指导治疗决策。此外,它提供的血流可视化可以为动脉瘤治疗规划提供信息,并有可能避免不良后果。

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