AView: A Bedside Simulation Tool for Neurovascular Intervention

AView：神经血管干预的床边模拟工具

基本信息

批准号：
9113100
负责人：
HUI MENG
金额：
$ 7.86万
依托单位：
STATE UNIVERSITY OF NEW YORK AT BUFFALO
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9113100
关键词：
Address American Aneurysm Angiography Biomedical Engineering Blood Vessels Center for Translational Science Activities Cerebral Aneurysm Characteristics Clinical Clinical Data Clinical Research Collaborations Complication Computer software Data Decision Making Devices Disease Engineering Feedback Geometry Grant Guidelines Health Health Care Costs Health Personnel Healthcare Heart Image In Vitro Institutes Intervention Libraries Liquid substance Location Manuals Measurement Medical Imaging Morphology Neurosurgeon Parents Patient Care Patients Positioning Attribute Procedures Research Research Personnel Risk Rupture Ruptured Aneurysm Seeds Series Slide Stents Stroke Surface Testing Three-Dimensional Image Universities Validation Velocimetries Vision Work academic standard base clinical practice density field study hemodynamics imaging Segmentation improved in vivo neurovascular operation particle prototype research study scaffold simulation tool treatment planning treatment site virtual

项目摘要

DESCRIPTION (provided by applicant): Cerebral aneurysms (CAs) are tricky to manage, since their rupture is deadly, rupture rate is low and treatment complication risk is significant. The new guidelines for CA management by the American Heart/Stroke Association suggest the clinicians: "consider morphological and hemodynamic characteristics of the aneurysm when discussing the risk of aneurysm rupture". However, morphometrics and hemodynamics require extensive engineering expertise to calculate. Currently there is no tool for clinicians to obtain such metrics. Through seamless collaboration between biomedical engineers from University's Clinical and Translational Research Center and neurosurgeons from the private healthcare provider Gates Vascular Institute in one building, we have developed the prototype of a clinical software platform, "AView", for rapid assessment of patient-specific CA hemodynamics and morphometrics at the bedside. We have further deployed this prototype to 8 clinical centers to test its technical feasibility. All participating clinicians enthusiastically embraced this ground-breaking tool. All of them underscored the urgent need of such a tool to be integrated into the day-to-day clinical workflow in CA management. They further indicated that routine clinical use of AView requires to have minimal manual operation and to provide maximal clinical benefits. Therefore, in this grant we would like to take a leap to transform AView from the current prototype into a bedside tool to improve healthcare. In Aim 1, we will automate image segmentation procedure. Specifically, a small number of seed spheres will be positioned on image slides, which will be automatically centered within the vessel as well as automatically resized. Furthermore, in this aim, we will implement a treatment planning module including coil density calculation and stent positioning measurement. Coil planning tool will guide users in choosing type and number of coils based on specific packing density, aneurysm volume and a built-in coil library. Stent planning tool will guide users in stent placement based on aneurysms morphology, vessel geometry and inflow jet. In Aim 2, we will validate the morphometric and hemodynamic calculation of AView using experiments from 5 patient-specific CAs. For morphometric validation, we will compare key morphometrics from AView against the results from standard software. For hemodynamic validation, we will validate flow calculation by in vitro and clinical data from the same 5 CAs. We will compare flow solutions against Particle Image Velocimetry data from CA phantoms, and flow-derived virtual angiography against patient angiography. Successful completion of this project will transform AView into an easy-to-use, high-impact, and well-validated bedside tool. We believe AView will revolutionize the way how neurosurgeons approach CA at the bedside. Our long-term vision of AView is to extend this tool to every participating healthcare provider, in order to facilitate on-site treatment decision- making and planning.

描述（由申请人提供）：脑动脉瘤（CA）的治疗非常棘手，因为其破裂是致命的，破裂率低且治疗并发症风险显着，美国心脏/中风协会提出的新的脑动脉瘤治疗指南提出了反叛者的建议。：“在讨论动脉瘤破裂的风险时考虑动脉瘤的形态和血流动力学特征”然而，形态测量和血流动力学需要广泛的工程设计。目前，退伍军人还没有工具可以获取此类指标。通过大学临床和转化研究中心的生物医学工程师与私人医疗保健提供商盖茨血管研究所的神经外科医生在同一栋大楼内的无缝合作，我们开发了一个原型。临床软件平台“AView”，用于在床边快速评估患者特定的 CA 血流动力学和形态测量。我们已将该原型进一步部署到 8 个临床中心，以测试其技术可行性。他们都强调迫切需要将这种工具集成到 CA 管理的日常临床工作流程中，并进一步表明 AView 的常规临床使用需要最少的手动操作。因此，在这项资助中，我们希望将 AView 从当前的原型转变为床边工具，以改善医疗保健。具体来说，我们将实现少量种子球的自动化。将放置在图像幻灯片上，它将自动在血管内居中并自动调整尺寸。此外，为此，我们将实施一个治疗计划模块，包括线圈密度计算和支架定位测量工具，将指导用户根据情况选择线圈的类型和数量。在特定堆积密度、动脉瘤体积和内置线圈库中，我们将根据动脉瘤形态、血管几何形状和流入射流指导用户放置支架。使用来自 5 个患者特定 CA 的实验进行 AView 的血流动力学计算对于形态学验证，我们将比较 AView 的关键形态学与标准软件的结果对于血流动力学验证，我们将通过来自相同 5 个患者的体外和临床数据来验证流量计算。我们将把血流解决方案与 CA 模型的粒子图像测速数据进行比较，并将血流衍生的虚拟血管造影与患者血管造影进行比较。该项目的成功完成将把 AView 转变为 AView。易于使用、高影响力且经过充分验证的床边工具，我们相信 AView 将彻底改变神经外科医生在床边处理 CA 的方式。以便于现场处理决策和规划。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Flow Instability Detected by High-Resolution Computational Fluid Dynamics in Fifty-Six Middle Cerebral Artery Aneurysms.

通过高分辨率计算流体动力学检测 56 个大脑中动脉动脉瘤的血流不稳定性。

DOI：
发表时间：
2016-06
期刊：
影响因子：
0
作者：
Varble, Nicole;Xiang, Jianping;Lin, Ning;Levy, Elad;Meng, Hui
通讯作者：
Meng, Hui

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

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

DOI：
发表时间：
2016-04
期刊：
影响因子：
3.8
作者：
Xiang, Jianping;Antiga, Luca;Varble, Nicole;Snyder, Kenneth V;Levy, Elad I;Siddiqui, Adnan H;Meng, Hui
通讯作者：
Meng, Hui

A Simple Flow Classification Parameter Can Discriminate Rupture Status in Intracranial Aneurysms.

简单的血流分类参数可以区分颅内动脉瘤的破裂状态。