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Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy

2022-03Artigo científico Acesso aberto
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dc.contributor.authorRêgo, Sílvia
dc.contributor.authorMonteiro-Soares, Matilde
dc.contributor.authorDutra-Medeiros, Marco
dc.contributor.authorSoares, Filipe
dc.contributor.authorDias, Cláudia Camila
dc.contributor.authorNunes, Francisco
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2023-10-27T22:21:47Z
dc.date.available2023-10-27T22:21:47Z
dc.date.issued2022-03
dc.descriptionFunding Information: This work was supported by EyeFundusScopeNEO: Demonstration of EyeFundusScope with Non-Expert Ophthalmology Users, cofounded by Portugal 2020, framed under the Operational Program Competitiveness and Internationalization (COMPETE 2020) and European Regional Development Fund from European Union, with operation code POCI-01-0247-FEDER-038400. Publisher Copyright: © 2022 by the authors.
dc.description.abstractScreening diabetic retinopathy, a major cause of blindness, is time-consuming for ophthalmologists and has some constrains in achieving full coverage and attendance. The handheld fundus camera EyeFundusScope was recently developed to expand the scale of screening, drawing on images acquired in primary care and telescreening made by ophthalmologists or a computer-aided diagnosis (CADx) system. This study aims to assess the diagnostic accuracy of the interpretation of images captured using EyeFundusScope and perform its technical evaluation, including image quality, functionality, usability, and acceptance in a real-world clinical setting. Physicians and nurses without training in ophthalmology will use EyeFundusScope to take pictures of the retinas of patients with diabetes and the images will be classified for the presence or absence of diabetic retinopathy and image quality by a panel of ophthalmologists. A subgroup of patients will also be examined with the reference standard tabletop fundus camera. Screening results provided by the CADx system on images taken with EyeFundusScope will be compared against the ophthalmologists’ analysis of images taken with the tabletop fundus camera. Diagnostic accuracy measures with 95% confidence intervals (CIs) will be calculated for positive and negative test results. Proportion of each category of image quality will be presented. Usability and acceptance results will be presented qualitatively.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent16
dc.format.extent10408962
dc.identifier.doi10.3390/diabetology3010001
dc.identifier.otherPURE: 74315825
dc.identifier.otherPURE UUID: bd79e115-64c0-4cc1-b1ce-4d66bb794804
dc.identifier.otherScopus: 85128898559
dc.identifier.otherORCID: /0000-0003-0421-1211/work/151366142
dc.identifier.urihttp://hdl.handle.net/10362/159338
dc.identifier.urlhttps://www.scopus.com/pages/publications/85128898559
dc.language.isoeng
dc.peerreviewedyes
dc.subjectdiabetic retinopathy
dc.subjectdiagnostic accuracy
dc.subjectimage quality
dc.subjectinteroperator agreement
dc.subjectusability
dc.subjectMedicine (miscellaneous)
dc.subjectEndocrinology, Diabetes and Metabolism
dc.subjectInternal Medicine
dc.subjectSDG 3 - Good Health and Well-being
dc.titleImplementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathyen
dc.title.subtitleStudy Protocolen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue1
degois.publication.lastPage16
degois.publication.titleDiabetology
degois.publication.volume3
dspace.entity.typePublication
rcaap.rightsopenAccess

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