I-Corps: Augmenting perfusion imaging for better stroke assessment

I-Corps：增强灌注成像以更好地评估中风

• 批准号: 2030181
• 负责人: Kaveh Laksari
• 金额: $ 5万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030181&HistoricalAwards=false
• 关键词: Corps; Augmenting; perfusion; imaging; better

The broader impact/commercial potential of this I-Corps project is the development of a technology that may dramatically reduce the time-to-diagnosis of ischemic stroke. As one of the world’s most consequential and prevalent neurological diseases, stroke affects a large portion of the population and costs the healthcare system billions of dollars. The time-to-diagnosis is critical within the “golden hour” normally associated with stroke management. The ability to provide a rapid diagnosis with equipment less costly than currently perfusion-scan computed tomography (CT) machines may increase the number of patients in less affluent locations who are correctly diagnosed and rapidly treated for a stroke. The immediate benefits are reduction in the rate of mortality and post-stroke disabilities due to faster treatment, as well as an increase in the accessibility of treatment, and a significant decrease in costs. Despite the focus on ischemic strokes, this method may have applications on a variety of neurological diseases related to the brain’s hemodynamic systems, such as cerebrovascular accident, traumatic brain injury (TBI), and brain tumors. This I-Corps project is based on the development of a medical device that uses medical image processing, sensor measurements, computational modeling, and machine learning to replicate CT perfusion images quantifying cerebral blood flow, which is the most significant metric in stroke severity assessment and patient management. This novel hardware/software system also provides real-time non-invasive patient-specific estimates for stroke severity and risk assessment, along with predictive measures for differentiating infarct tissue from salvageable penumbra. The proposed technology, as an enhancement to existing CT scans, addresses the global demand, especially from small community hospitals and stroke centers that lack perfusion imaging devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是开发可能会大大减少缺血性中风时间诊断的技术。作为世界上最重要，最普遍的神经系统疾病之一，中风会影响很大一部分人口，并使医疗体系数十亿美元损失。在通常与中风管理相关的“黄金小时”中，诊断时间至关重要。与当前灌注扫描计算机断层扫描（CT）机器相比，提供快速诊断的设备的快速诊断能力可能会增加受影响较小的位置的患者人数，这些患者被正确诊断并迅速治疗了中风。直接的好处是由于更快的治疗而导致的死亡率和中风后疾病率降低，以及治疗可及性的增加以及成本的显着降低。尽管关注缺血性中风，但该方法可能对与大脑血液动力学系统有关的多种神经系统疾病有应用，例如脑血管事故，外伤性脑损伤（TBI）和脑肿瘤。该I-Corps项目基于使用医疗图像处理，传感器测量，计算建模和机器学习来复制CT灌注图像量化脑血流的医疗设备的开发，该图像是中风严重性评估和患者管理中最重要的指标。这个新颖的硬件/软件系统还为中风严重程度和风险评估提供了实时的非侵入性患者特异性估计，以及将基础设施组织与可挽救的半月区分开的预测测量。该提议的技术是对现有CT扫描的增强，尤其是从缺乏灌注成像设备的小型社区医院和中风中心解决了全球需求。该奖项反映了NSF的法定任务，并且我们是否使用基金会的知识分子优点和更广泛的影响审查标准来评估我们是否通过评估来诚实地支持我们的支持。