VisionQuest Biomedical Inc — Department of Health and Human Services SBIR Phase II: NIAID

Description

DESCRIPTION provided by applicant Cerebral malaria CM is a life threatening neurological complication associated with malarial infection Malaria affects about million people worldwide and claims lives annually of whom are African children under years of age CM is mistakenly over diagnosed about of the time in which the cases of concurrent non CM diseases with similar symptoms produce false positive test results and result in incorrect treatment An accurate means to confirm the presence of CM or to investigate for a non malarial illness is critically needed to improve outcomes The retinal lesions associated with malarial retinopathy MR are highly specific to CM and a retinal screening for MR represents an effective means to assist in and improve the specificity of CM diagnosis VisionQuest Biomedical and its collaborators have assembled a team of inter disciplinary scientists with considerable experience in automated retinal image analysis clinical ophthalmology with specialized research in malarial retinopathy MR and cerebral malaria diagnosis CM This team will develop and test ASPIRE a system for detection of MR consisting of automated MR detection software integrated with a low cost and portable retinal camera especially designed for use in clinical settings in Africa The system components will be selected to demonstrate an economically viable product affordable to the targeted population in Africa The proposed ASPIRE system will augment not replace the current CM diagnostic standard increasing the accuracy of CM diagnoses leading to a smaller number of false positive outcomes In Phase I the research team at VisionQuest Biomedical demonstrated the feasibility of a fully automated MR detection system that includes software to provide automated detection of MR lesions interfaced with a portable retinal imaging camera In Phase II the ASPIRE system will be refined optimized and validated on retrospective as well as prospective datasets We will accomplish this through three specific aims In the first aim the software system for MR detection will be optimized to perform in real time and validated on a retrospective image dataset In the second aim we will refine the retinal imaging hardware and integrate the software system with the camera which automatically detects MR The third aim will focus on evaluating the on site performance of ASPIRE system in a clinical research study to be conducted in in Malawi Africa PUBLIC HEALTH RELEVANCE Cerebral malaria is a life threatening neurological complication associated with malarial infection which affects about million people and claims the lives of people worldwide mostly African children The presence of malarial retinopathy can provide additional insight and improve the diagnostic accuracy of CM This project proposes the development of a malaria retinopathy detection system consisting of an automatic malaria retinopathy detection software integrated with low cost retinal camera designed for use in clinical settings in Africa