Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression

Detalhes bibliográficos
Autor(a) principal: Flores, Rita
Data de Publicação: 2023
Outros Autores: Fradinho, Ana C., Pereira, Rita Serras, Mendes, Jorge M., Seabra, Miguel C., Tenreiro, Sandra, Carneiro, Ângela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/156142
Resumo: Flores, R., Fradinho, A. C., Pereira, R. S., Mendes, J. M., Seabra, M. C., Tenreiro, S., & Carneiro, Â. (2023). Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression. Translational Vision Science & Technology, 12(7), 1-13. [22]. https://doi.org/10.1167/tvst.12.7.22 --- Supported by iNOVA4Health – UIDB/04462/2020 and UIDP/04462/2020, and by the Associated Laboratory LS4FUTURE (LA/P/0087/2020), two programs financially supported by Fundação para a Ciência e Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Ensino Superior. ACF was recipient of individual PhD fellowship funded by FCT (PD/BD/135503/2018).
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spelling Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progressionintermediate AMDlate AMDprogression biomarkersSD-OCTBiomedical EngineeringOphthalmologyFlores, R., Fradinho, A. C., Pereira, R. S., Mendes, J. M., Seabra, M. C., Tenreiro, S., & Carneiro, Â. (2023). Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression. Translational Vision Science & Technology, 12(7), 1-13. [22]. https://doi.org/10.1167/tvst.12.7.22 --- Supported by iNOVA4Health – UIDB/04462/2020 and UIDP/04462/2020, and by the Associated Laboratory LS4FUTURE (LA/P/0087/2020), two programs financially supported by Fundação para a Ciência e Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Ensino Superior. ACF was recipient of individual PhD fellowship funded by FCT (PD/BD/135503/2018).Purpose: Intermediate age-related macular degeneration (iAMD) is a risk factor for progression to advanced stages, but rates of progression vary between individuals. Predicting individual risk is advantageous for programing timely and effective treatment and for patient stratification into future clinical trials. Methods: We conducted a prospective and noninterventional study following patients with iAMD for 24 months. Optical coherence tomography parameters related with drusen, hyper-reflective foci (HRF), presence of incomplete retinal pigment epithelial and outer retinal atrophy (iRORA) and ellipsoid zone (EZ) status were explored at the baseline. Patients were reclassified at the end of the follow-up period and divided according to their progression. A risk prediction model for progression to late AMD was developed. Results: A total of 135 patients were enrolled in the study and 30.4% developed late disease. A multivariate logistic regression model was created using those optical coherence tomography parameters, further optimized by backward feature elimination. Parameters offering the best fit in prediction progression were presence of iRORA, EZ status, drusen area and presence of HRF. iRORA is the feature that provides a higher probability of developing late AMD (odds ratio, 12.91; P = 0.000), followed by EZ disruption status (odds ratio, 3.54; P = 0.0018). The area under the receiver operating characteristic curve calculated for the testing set was 0.77 (95% confidence interval, 0.56–0.98). Conclusions: The combination of iRORA and EZ disruption constitute a high risk of progression to complete RORA within 2 years. Translational Relevance: We propose a practical and useful model to help clinicians in their daily practice in predicting individual progression to advanced AMD.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)iNOVA4Health - pólo NMSInformation Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNFlores, RitaFradinho, Ana C.Pereira, Rita SerrasMendes, Jorge M.Seabra, Miguel C.Tenreiro, SandraCarneiro, Ângela2023-08-01T22:20:20Z2023-07-252023-07-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13application/pdfhttp://hdl.handle.net/10362/156142eng2164-2591PURE: 67844791https://doi.org/10.1167/tvst.12.7.22info: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:RCAAP2024-03-11T05:38:43Zoai:run.unl.pt:10362/156142Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:20.942948Repositório 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 Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
title Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
spellingShingle Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
Flores, Rita
intermediate AMD
late AMD
progression biomarkers
SD-OCT
Biomedical Engineering
Ophthalmology
title_short Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
title_full Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
title_fullStr Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
title_full_unstemmed Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
title_sort Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression
author Flores, Rita
author_facet Flores, Rita
Fradinho, Ana C.
Pereira, Rita Serras
Mendes, Jorge M.
Seabra, Miguel C.
Tenreiro, Sandra
Carneiro, Ângela
author_role author
author2 Fradinho, Ana C.
Pereira, Rita Serras
Mendes, Jorge M.
Seabra, Miguel C.
Tenreiro, Sandra
Carneiro, Ângela
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
iNOVA4Health - pólo NMS
Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Flores, Rita
Fradinho, Ana C.
Pereira, Rita Serras
Mendes, Jorge M.
Seabra, Miguel C.
Tenreiro, Sandra
Carneiro, Ângela
dc.subject.por.fl_str_mv intermediate AMD
late AMD
progression biomarkers
SD-OCT
Biomedical Engineering
Ophthalmology
topic intermediate AMD
late AMD
progression biomarkers
SD-OCT
Biomedical Engineering
Ophthalmology
description Flores, R., Fradinho, A. C., Pereira, R. S., Mendes, J. M., Seabra, M. C., Tenreiro, S., & Carneiro, Â. (2023). Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression. Translational Vision Science & Technology, 12(7), 1-13. [22]. https://doi.org/10.1167/tvst.12.7.22 --- Supported by iNOVA4Health – UIDB/04462/2020 and UIDP/04462/2020, and by the Associated Laboratory LS4FUTURE (LA/P/0087/2020), two programs financially supported by Fundação para a Ciência e Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Ensino Superior. ACF was recipient of individual PhD fellowship funded by FCT (PD/BD/135503/2018).
publishDate 2023
dc.date.none.fl_str_mv 2023-08-01T22:20:20Z
2023-07-25
2023-07-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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url http://hdl.handle.net/10362/156142
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2164-2591
PURE: 67844791
https://doi.org/10.1167/tvst.12.7.22
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eu_rights_str_mv openAccess
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