Fully Automatic ROP Screening System: NeoScan
全自动 ROP 筛查系统:NeoScan
基本信息
- 批准号:8639682
- 负责人:
- 金额:$ 17.23万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-01-01 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAreaArteriesBaptist ChurchBirthBlindnessBlood VesselsCaliberCaringChildClassificationDataData SetDevelopmentDiagnosisDiseaseDisease ManagementDoctor of PhilosophyEconomicsEquipmentExposure toGuidelinesHealth systemHospitalsImageImage AnalysisImage EnhancementImaging technologyInfantInstitutesInternationalInterventionLeadLegalLocationLongitudinal StudiesLow Birth Weight InfantMeasurementMeasuresMedicalMethodsOphthalmologistPatient TriagePatientsPhasePremature BirthProcessPublic HealthReaderReadingResearchRetinaRetinalRetinal DiseasesRetinopathy of PrematurityRiskSamplingSavingsScientistSoftware ToolsSouth TexasSpecialistStagingStandardizationSystemTechniquesTelemedicineTestingTimeTrainingUnited StatesUniversitiesUpdateVeinsVisionbaseclinically significantcost effectivenessdiagnostic accuracydigitaldigital imagingexperiencehigh riskimage processingimprovedindexingmedical malpracticememberneonateprematureprogramspublic health relevancescreeningsoftware systemstool
项目摘要
DESCRIPTION (provided by applicant): This Phase I project is motivated by current issues associated with screening for retinopathy of prematurity (ROP). ROP is the leading cause of blindness in infants. In recent years the number of infants at risk for ROP has been increasing. In the United States, the rate of prematurity has risen from 9.4% of all births in 1981 to 12% in 2010, for a total of over 500,000 preterm births. Neonate disease management depends largely on timely screening and intervention. Unfortunately, low reimbursement levels for ROP screening, insufficient equipment for ROP screening in remote locations, and long-term exposure to medical malpractice actions make it difficult to provide appropriate care to neonates at risk. To mitigate these problems, Vision Quest Biomedical LLC and its collaborators, Oakland University (MI) and the Retina Institute of South Texas (RIST) will demonstrate and test NeoScan, a software system for automatic ROP screening that provides improved retinal image quality and accurate quantification of vasculature tortuosity and caliber, factors that have been demonstrated to correlate with the presence of advanced stages of ROP. The objectives of NeoScan are to reduce variability in the diagnosis of advanced stages of ROP and to provide a tool for accurate screening of neonates. This project will impact public health at multiple levels.
The societal significance of this project is manifested by the large number of neonates that require ROP screening, and the current difficulties to access ROP care in remote and underserved locations. Through the development of NeoScan, we will be able to provide appropriate and widespread ROP screening. The economic significance is evidenced by the cost-effectiveness studies that have shown that appropriate treatment for ROP would lead to annual savings of $500 million. The commercial impact of tele-screening using the NeoScan will also be very high, allowing ROP screening to become affordable and widespread.
描述(由申请人提供):这个I期项目的动机是与早产儿视网膜病变(ROP)筛查相关的当前问题。ROP是婴儿失明的主要原因。近年来,有ROP风险的婴儿数量一直在增加。在美国,早产率从1981年的9.4%上升到2010年的12%,早产儿总数超过50万。新生儿疾病的管理在很大程度上取决于及时的筛查和干预。不幸的是,ROP筛查的低报销水平,偏远地区ROP筛查设备不足,以及长期暴露于医疗事故行为,使得难以为有风险的新生儿提供适当的护理。为了缓解这些问题,Vision Quest Biomedical LLC及其合作者,奥克兰大学(MI)和南德克萨斯州视网膜研究所(RIST)将展示和测试NeoScan,这是一种用于自动ROP筛查的软件系统,可提供改善的视网膜图像质量和血管迂曲度和口径的准确量化,这些因素已被证明与ROP的晚期存在相关。NeoScan的目的是减少ROP晚期诊断的变异性,并为新生儿的准确筛查提供工具。该项目将在多个层面影响公共卫生。
该项目的社会意义体现在大量需要ROP筛查的新生儿以及目前在偏远和服务不足地区难以获得ROP护理。通过NeoScan的开发,我们将能够提供适当和广泛的ROP筛查。成本效益研究显示,适当的治疗方法每年可节省5亿元。使用NeoScan的远程筛查的商业影响也将非常高,使ROP筛查变得负担得起和广泛。
项目成果
期刊论文数量(0)
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Eduardo Simon Barriga其他文献
Eduardo Simon Barriga的其他文献
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{{ truncateString('Eduardo Simon Barriga', 18)}}的其他基金
Fully Automatic ROP Screening System: NeoScan
全自动 ROP 筛查系统:NeoScan
- 批准号:
8900708 - 财政年份:2014
- 资助金额:
$ 17.23万 - 项目类别:
Stroke Risk Stratification through Plaque Motion Analysis of Longitudinal Carotid
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- 资助金额:
$ 17.23万 - 项目类别:
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