Personalized Management of Intracranial Aneurysms Using Computer-aided Analytics

使用计算机辅助分析对颅内动脉瘤进行个性化管理

• 批准号: 10579978
• 负责人: Jingfeng Jiang
• 金额: $ 33.41万
• 依托单位: MICHIGAN TECHNOLOGICAL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-07 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10579978
• 关键词: 3-Dimensional; Affect; Aneurysm; Angiography; Architecture; Artificial Intelligence; Benign; Biomedical Computing; Biomedical Engineering; Brain hemorrhage; Cerebral Aneurysm; Cerebrum; Clinical; Clinical Management; Clinical Research; Clinical Trials; Computational Geometry; Computational Science; Computer Assisted; Computer software; Data; Development; Diagnosis; Engineering; Ensure; Evaluation; Genetic; Growth; Human; Image; Individual; Intracranial Aneurysm; Knowledge; Liquid substance; Machine Learning; Medicine; Methods; Michigan; Morbidity - disease rate; Morphology; Natural History; Neural Network Simulation; Outcome; Patients; Physics; Play; Research; Research Proposals; Risk; Risk Assessment; Role; Rupture; Ruptured Aneurysm; Secondary to; Smoker; Technology; TensorFlow; Testing; Training; Translational Research; United States; Universities; Wisconsin; Work; analytical method; blind; computer grid; convolutional neural network; deep learning; flexibility; follow-up; hemodynamics; high risk; innovation; learning strategy; mortality; neurosurgery; open source; personalized management; prevent; prospective; prototype; public health relevance; risk prediction; shear stress; success; tool

Abstract The primary objective is to develop an artificial intelligence-centric, quantitative and noninvasive software platform that can be integrated into 3D angiographic scanners (DSA, CTA or MRA) to provide guidance regarding the diagnosis and management of intracranial aneurysms (IA). Hemorrhagic stroke secondary to ruptured IAs leads to significant morbidity and mortality and affects over 35,000 patients on a yearly basis in the United States. The diagnosis of asymptomatic IAs is on the rise with the increasing use of cerebral imaging. However, guidance regarding which aneurysms should be treated has not advanced. Leveraging recent advances in computational science and technology, particularly artificial intelligence, the proposed software platform built on two enabling technologies can (1) propel automated “patient-specific” hemodynamic evaluations into the clinical workflow and (2) conduct “data-driven” risk assessments of IA rupture on an individual basis. Specific research aims are to (1) develop a clinically-oriented CFD platform that enables automated “patient-specific” hemodynamic evaluations of IAs, (2) investigate data-driven analytics toward prediction of rupture risk for IAs and (3) evaluate the data-driven analytics in a blind study. Once validated, a follow-up R01 project is planned to examine the clinical utility of the proposed software platform in a prospective clinical study as a single gateway for computer-aided evaluation of cerebral aneurysms.

抽象的 主要目的是开发人工智力智力，定量和无创软软件 可以集成到3D血管造影扫描仪（DSA，CTA或MRA）中的平台以提供指导 关于颅内动脉瘤（IA）的诊断和管理。 破裂的IAS导致了严重的病态和死亡率，并每年影响超过35,000名患者 美国。 然而，成像。 利用计算科学和技术的最新进展，尤其是人工智能， 支撑的软件平台建立在两个启示技术的基础上（1）推动自动化的“患者特异性” 血流动力学评估到临床工作流程中，（2）进行IA的“数据驱动”风险评估 在个人的基础上破裂。 这使IAS的自动“患者特异性”血流动力学评估，（2）研究数据驱动 分析技术用于预测IS的破裂风险和（3）评估盲人中数据驱动的分析 学习。 验证后，计划进行后续R01项目以检查临床。 前瞻性临床研究中的平台是用于计算机辅助评估大脑的单个网关 动脉瘤。