Automated Eye Disease Screening System

自动眼病筛查系统

• 批准号: 8250296
• 负责人: Peter N Soliz
• 金额: $ 60.54万
• 依托单位: VISIONQUEST BIOMEDICAL, LLC
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2013-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8250296
• 关键词: Address; Age; Age related macular degeneration; American; Automation; Blindness; Blood Vessels; Businesses; Caring; Centers for Disease Control and Prevention (U.S.); Clinical; Community Healthcare; Computer Assisted; Computer software; Computer-Assisted Diagnosis; Computers; Detection; Diabetes Mellitus; Diabetic Retinopathy; Diagnosis; Disease; Early Diagnosis; Early treatment; Economics; Eye diseases; Fibrinogen; Frequencies; Glaucoma; Goals; Health Personnel; Health Services Accessibility; Healthcare Systems; Human; Hybrids; Hypertension; Image; Image Analysis; Individual; Institutes; Intervention; Joint Ventures; Lesion; Mammography; Manuals; Marketing; Measures; Medical; Medical Imaging; Methods; Microaneurysm; Modeling; New Mexico; Ocular Pathology; Ophthalmic examination and evaluation; Ophthalmologist; Optic Disk; Optometrist; Pallor; Pap smear; Pathology; Phase; Populations at Risk; Productivity; Quality of life; Reader; Reading; Reporting; Research; Research Infrastructure; Research Personnel; Retina; Retinal; Retinal Diseases; Risk; Risk Factors; Safety; Screening procedure; Sensitivity and Specificity; Services; Site; Solutions; South Texas; Specialist; Staging; System; Techniques; Technology; Testing; Texas; Time; Training; Universities; Vision; Work; advanced disease; age related; base; clinically significant; commercialization; cost; design; diabetic; image processing; improved; macular edema; meetings; neovascularization; patient safety; programs; proliferative diabetic retinopathy; research and development; success

DESCRIPTION (provided by applicant): This proposed project is motivated by the fact that comprehensive, broad-scale screening for eye diseases such as age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy (DR), including advanced stages, is economically prohibitive without the introduction of computer-assisted diagnosis of retinal images. According to the CDC approximately 80 million people in the U.S. have some form of eye disease, including 20 million diabetics at risk for retinopathy, 60 million at risk for glaucoma, and 13 million diagnosed with AMD. It is estimated that less than half of those individuals with diabetes are screened periodically for DR. Lack of medical coverage and access to healthcare providers imposes major obstacles for nearly 10 million diabetics. Creating an affordable and accessible solution to providing screening services to these diabetics presents a significant challenge to the healthcare community. A comprehensive screening program for U.S. citizens utilizing ophthalmologists, optometrists, or other trained specialists, readers, to grade each case would be prohibitively expensive. The solution is to implement a computer-assisted technology similar to other medical applications, such as mammograms and Pap smears; that would provide comprehensive, periodic screening of our at-risk population. Our business models show a 400% decrease in costs with the integration of automation into today manual screening methods. The study will be made possible through the implementation of the infrastructure for a reading center in South Texas where it is estimated that nearly 200,000 diabetics reside and over 50% do not receive annual examinations. The center will be a demonstration site where the efficacy of the software can be documented for submission to the FDA for pre-market approval (PMA). The goal is to show that a center's through put number of cases screened per time period will increase fivefold through the use of a hybrid (automation-human graders) approach with sensitivity that is comparable or better than solely human-based screening. The significance of this proposed research is two-fold. First, by increasing the productivity of reading centers through automation, a much larger population of at-risk individuals will have access to this service, leading to improved productivity and quality of life through early detection and treatment. Second, by providing to the FDA, a system that is highly effective and sensitive to advanced disease, the issue of safety is essentially eliminated. PUBLIC HEALTH RELEVANCE: Today, the CDC reports that there are about 80 million people in the US who have some form of eye disease. Diabetic retinopathy, age-related macular degeneration, and glaucoma are the leading causes of blindness. There is some form of intervention for each of these eye diseases that can result in the extension of useful vision, if detected early. Our automated eye disease screening system will make examination available to millions of Americans at risk for eye disease available without major impact on our healthcare system. This is possible only through automation as an adjunct to examinations by eye care specialists.

描述（由申请人提供）：该拟议项目的动机是，在不引入视网膜图像的计算机辅助诊断的情况下，对包括晚期在内的年龄相关性黄斑变性（AMD）、青光眼和糖尿病视网膜病变（DR）等眼科疾病进行全面、广泛的筛查在经济上是不可行的。根据CDC的数据，美国约有8000万人患有某种形式的眼病，其中包括2000万糖尿病患者有视网膜病变的风险，6000万青光眼的风险，1300万被诊断患有AMD。据估计，只有不到一半的糖尿病患者定期接受DR筛查，缺乏医疗保险和医疗保健提供者给近1000万糖尿病患者带来了重大障碍。创建一个负担得起的和可访问的解决方案，为这些糖尿病患者提供筛查服务，这对医疗保健界提出了一个重大挑战。美国公民利用眼科医生、验光师或其他受过训练的专家、读者对每个病例进行分级的全面筛查计划将是极其昂贵的。解决办法是采用类似于乳房X光检查和子宫颈抹片检查等其他医疗应用的计算机辅助技术;这将为我们的高危人群提供全面、定期的筛查。我们的商业模式显示，通过将自动化集成到当今的手动筛选方法中，成本降低了400%。这项研究将通过为德克萨斯州南部的一个阅读中心实施基础设施而成为可能，据估计，该中心居住着近20万糖尿病患者，其中超过50%的人没有接受年度检查。该中心将是一个示范中心，可以记录软件的有效性，以便提交给FDA进行上市前批准（PMA）。其目标是表明，通过使用混合（自动化-人类分级器）方法，中心每个时间段筛选的病例数将增加五倍，其灵敏度与单纯基于人类的筛选相当或更好。这项拟议研究的意义是双重的。首先，通过自动化提高阅读中心的生产力，更多的高危人群将获得这项服务，从而通过早期发现和治疗提高生产力和生活质量。其次，通过向FDA提供一个对晚期疾病高度有效和敏感的系统，安全性问题基本上被消除了。 公共卫生相关性：今天，疾病预防控制中心报告说，美国约有8000万人患有某种形式的眼疾。糖尿病视网膜病变、老年性黄斑变性和青光眼是导致失明的主要原因。对于这些眼病中的每一种都有某种形式的干预，如果早期发现，可以导致有用视力的扩展。我们的自动眼科疾病筛查系统将为数百万有眼科疾病风险的美国人提供检查，而不会对我们的医疗保健系统产生重大影响。这只有通过自动化作为眼科护理专家检查的辅助手段才有可能。