I-Corps: Customer discovery for breast cancer detection technology

I-Corps：乳腺癌检测技术的客户发现

• 批准号: 2225649
• 负责人: Andre Khalil
• 金额: $ 5万
• 依托单位: University of Maine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2225649&HistoricalAwards=false
• 关键词: Corps; Customer; discovery; breast; cancer

The broader impact/commercial potential of this I-Corps project is the development of software to create and recommend personalized breast screening plans, using only the patient’s first (baseline) mammogram. This individualized care could result in limiting the patient’s exposure to radiation or could provide the patient with access to supplemental screening. Improving the screening process for women at a young age offers the chance of a better prognosis. In addition, early detection could allow for novel treatment options to target cancer-prone breast tissue, potentially leading to the prevention of the disease. The software would be comparable and complementary to genetic testing for breast cancer risks.This I-Corps project is based on the development of a proposed computer-aided detection software and its potential to discriminate between healthy, organized, dense mammographic breast tissue versus unhealthy, disorganized, dense breast tissue often associated with the onset of a tumor. The subtle differences between healthy and unhealthy tissue are challenging to identify visually. This technology discriminates between healthy and unhealthy tissue to identify the sub-regions of mammographic breast tissue that are particularly “risky”. The technology may explain the effect breast density has on someone's increased risk for breast cancer. Computer-aided breast cancer detection software has been used for over two decades without signficant clinical improvement. The existing computer-aided detection programs have been criticized by medical professionals for producing high numbers of false positives, resulting in unnecessary biopsies and increased evaluation times. The proposed technology may solve these problems, offering a less stressful option to patients and their families.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/商业潜力是开发软件以创建和推荐个性化的乳房筛查计划，仅使用患者的第一个（基线）乳房X线照片。这种个性化的护理可能会导致患者接触辐射的暴露，或者可以使患者获得补充筛查。在年轻时改善女性的筛查过程提供了更好的预后。此外，早期检测可以使新的治疗选择靶向容易产生癌症的乳腺组织，这可能导致预防疾病。该软件将与乳腺癌风险的基因检测相提并论。该I-Corps项目基于提议的计算机AID检测软件的开发，其潜力及其区分健康，有组织，密集的乳房乳房乳房组织与不健康，不健康的，混乱的，密集的，密集的，密集的乳房组织通常与肿瘤发作相关。健康组织和不健康的组织之间的细微差异是在视觉上识别的挑战。这项技术区分了健康和不健康的组织，以识别乳房X线乳房组织的子区域，这些区域尤其是“风险”。该技术可以解释乳房密度对某人增加乳腺癌风险的影响。计算机辅助乳腺癌检测软件已经使用了二十年，而没有显着临床改进。现有的计算机辅助检测计划至关重要，医疗专业人员对产生大量假阳性，导致不必要的活检和增加的评估时间。拟议的技术可以解决这些问题，为患者及其家人提供压力较小的选择。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响标准，被视为通过评估而被视为珍贵的支持。