STTR Phase I: An AI-Enhanced Angiographic System to Guide Endovascular Treatment of Intracranial Aneurysms

STTR 第一阶段：人工智能增强血管造影系统指导颅内动脉瘤的血管内治疗

• 批准号: 2111865
• 负责人: Mohammad Mahdi Shiraz Bhurwani
• 金额: $ 25.56万
• 依托单位: QAS.AI INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2111865&HistoricalAwards=false
• 关键词: STTR; Phase; AI; Enhanced; Angiographic

The broader impact of this Small Business Technology Transfer (STTR) Phase I project falls within the larger scope of expanding artificial intelligence (AI) methods into health care applications. The application is focused on image guided endovascular surgical procedures for intracranial aneurysms (IA), which may cause subarachnoid hemorrhage, the most devastating type of hemorrhagic stroke. The current trends in treatment of aneurysms show that endovascular approach has become the mainstay procedure due to reduced surgical complications when compared with open skull surgery. Despite tremendous technological advances in devices and surgical instrumentation, as many as 30% of these lesions are not completely healed after the first surgical intervention, exposing patients to additional risks for complications due to multiple surgical procedures. The AI autonomous solution developed in this project will be the one of the first applications that provides intraoperative prognosis for six-month healing of an aneurysm after each surgical step to allow surgical adjustments, reducing the risk for ruptures and re-treatments from 30% to an estimated 5% and creating savings for the $65,000 in retreatments (roughly $1.95 B annually in the U.S.).This Small Business Technology Transfer (STTR) Phase I project will aim to develop a comprehensive and autonomous AI method that will provide intraoperative prognosis of complete healing for an IA at six months. In current clinical practice, neuro-interventionalists cannot guarantee successful healing of intracranial aneurysms immediately post-device placement. Treated patients have to wait a minimum of 3-6 months before their aneurysm is reassessed on medical imaging and the clinician decides if re-treatment is needed. During this critical time, patients are still at risk of rupture. In addition, re-treatments have higher risk to the patient as well as bear a financial burden on hospitals and insurance companies. The proposed algorithms will be fully integrated with surgical equipment and will allow dynamic angiographic analysis to derive physics-based parameters related to the nature of blood flow inside the aneurysm sac. These parameters are combined with a machine learning algorithm to provide a prediction as to whether the treatment is sufficient for a full healing.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.

这个小企业技术转让（STTR）第一阶段项目的更广泛影响福尔斯将人工智能（AI）方法扩展到医疗保健应用的更大范围。该应用程序主要用于颅内动脉瘤（IA）的图像引导血管内外科手术，颅内动脉瘤可能导致蛛网膜下腔出血，这是最具破坏性的出血性卒中类型。动脉瘤治疗的当前趋势表明，与开颅手术相比，血管内入路由于手术并发症减少而已成为主流手术。尽管器械和手术器械的技术进步巨大，但这些病变中有多达30%在首次手术干预后未完全愈合，使患者面临因多次手术导致并发症的额外风险。该项目中开发的AI自主解决方案将成为首批应用之一，它在每个手术步骤后为动脉瘤的六个月愈合提供术中预后，以允许手术调整，将破裂和再治疗的风险从30%降低到估计的5%，并为再治疗节省65，000美元（美国每年约1.95美元B）。这个小企业技术转让（STTR）第一阶段项目的目标是开发一种全面和自主的人工智能方法，该方法将在六个月内为IA提供完全愈合的术中预后。在目前的临床实践中，神经介入医生不能保证颅内动脉瘤在器械置入后立即成功愈合。接受治疗的患者必须等待至少3-6个月，然后在医学成像上重新评估他们的动脉瘤，临床医生决定是否需要重新治疗。在这个关键时刻，患者仍然面临破裂的风险。此外，再治疗对患者有更高的风险，并给医院和保险公司带来经济负担。所提出的算法将与手术设备完全集成，并将允许动态血管造影分析，以获得与动脉瘤囊内血流性质相关的基于物理的参数。这些参数与机器学习算法相结合，可以预测治疗是否足以完全治愈。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。