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

Detalhes bibliográficos
Autor(a) principal: Rêgo, Sílvia
Data de Publicação: 2022
Outros Autores: Monteiro-Soares, Matilde, Dutra-Medeiros, Marco, Soares, Filipe, Dias, Cláudia Camila, Nunes, Francisco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/159338
Resumo: Funding 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.
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spelling Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic RetinopathyStudy Protocoldiabetic retinopathydiagnostic accuracyimage qualityinteroperator agreementusabilityMedicine (miscellaneous)Endocrinology, Diabetes and MetabolismInternal MedicineSDG 3 - Good Health and Well-beingFunding 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.Screening 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.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNRêgo, SílviaMonteiro-Soares, MatildeDutra-Medeiros, MarcoSoares, FilipeDias, Cláudia CamilaNunes, Francisco2023-10-27T22:21:47Z2022-032022-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/159338eng2673-4540PURE: 74315825https://doi.org/10.3390/diabetology3010001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:41:47Zoai:run.unl.pt:10362/159338Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:29.637481Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
Study Protocol
title Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
spellingShingle Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
Rêgo, Sílvia
diabetic retinopathy
diagnostic accuracy
image quality
interoperator agreement
usability
Medicine (miscellaneous)
Endocrinology, Diabetes and Metabolism
Internal Medicine
SDG 3 - Good Health and Well-being
title_short Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
title_full Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
title_fullStr Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
title_full_unstemmed Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
title_sort Implementation and Evaluation of a Mobile Retinal Image Acquisition System for Screening Diabetic Retinopathy
author Rêgo, Sílvia
author_facet Rêgo, Sílvia
Monteiro-Soares, Matilde
Dutra-Medeiros, Marco
Soares, Filipe
Dias, Cláudia Camila
Nunes, Francisco
author_role author
author2 Monteiro-Soares, Matilde
Dutra-Medeiros, Marco
Soares, Filipe
Dias, Cláudia Camila
Nunes, Francisco
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Rêgo, Sílvia
Monteiro-Soares, Matilde
Dutra-Medeiros, Marco
Soares, Filipe
Dias, Cláudia Camila
Nunes, Francisco
dc.subject.por.fl_str_mv diabetic retinopathy
diagnostic accuracy
image quality
interoperator agreement
usability
Medicine (miscellaneous)
Endocrinology, Diabetes and Metabolism
Internal Medicine
SDG 3 - Good Health and Well-being
topic diabetic retinopathy
diagnostic accuracy
image quality
interoperator agreement
usability
Medicine (miscellaneous)
Endocrinology, Diabetes and Metabolism
Internal Medicine
SDG 3 - Good Health and Well-being
description Funding 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-03
2022-03-01T00:00:00Z
2023-10-27T22:21:47Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/159338
url http://hdl.handle.net/10362/159338
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2673-4540
PURE: 74315825
https://doi.org/10.3390/diabetology3010001
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