Logo do repositório
 
Publicação

Identifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progression

dc.contributor.authorFlores, Rita
dc.contributor.authorFradinho, Ana C.
dc.contributor.authorPereira, Rita Serras
dc.contributor.authorMendes, Jorge M.
dc.contributor.authorSeabra, Miguel C.
dc.contributor.authorC Seabra, Miguel
dc.contributor.authorTenreiro, Sandra
dc.contributor.authorCarneiro, Ângela
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutioniNOVA4Health - pólo NMS
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblAssociation for Research in Vision and Ophthalmology Inc.
dc.date.accessioned2023-08-01T22:20:20Z
dc.date.available2023-08-01T22:20:20Z
dc.date.issued2023-07-25
dc.descriptionFlores, 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).
dc.description.abstractPurpose: 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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent4047989
dc.identifier.doi10.1167/tvst.12.7.22
dc.identifier.issn2164-2591
dc.identifier.otherPURE: 67844791
dc.identifier.otherPURE UUID: dea31dd8-5417-4b23-8879-926cfaea4435
dc.identifier.othercrossref: 10.1167/tvst.12.7.22
dc.identifier.otherScopus: 85165760985
dc.identifier.otherPubMed: 37490304
dc.identifier.otherWOS: 001109169600001
dc.identifier.otherORCID: /0000-0003-2251-3803/work/152085042
dc.identifier.urihttp://hdl.handle.net/10362/156142
dc.identifier.urlhttps://www.scopus.com/pages/publications/85165760985
dc.identifier.urlhttps://pubmed.ncbi.nlm.nih.gov/37490304/
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001109169600001
dc.identifier.urlhttps://tvst.arvojournals.org/article.aspx?articleid=2791342
dc.language.isoeng
dc.peerreviewedyes
dc.subjectintermediate AMD
dc.subjectlate AMD
dc.subjectprogression biomarkers
dc.subjectSD-OCT
dc.subjectBiomedical Engineering
dc.subjectOphthalmology
dc.subjectSDG 3 - Good Health and Well-being
dc.titleIdentifying Imaging Predictors of Intermediate Age-Related Macular Degeneration Progressionen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue7
degois.publication.lastPage13
degois.publication.titleTranslational Vision Science & Technology
degois.publication.volume12
dspace.entity.typePublication
person.familyNameSeabra
person.givenNameMiguel
person.identifier.ciencia-id2512-FAEF-E26F
person.identifier.orcid0000-0002-6404-4892
person.identifier.ridM-3280-2013
person.identifier.scopus-author-id7004369652
rcaap.rightsopenAccess
relation.isAuthorOfPublicationd6eeb095-df2d-4fd0-8241-ab826e5ecb1d
relation.isAuthorOfPublication.latestForDiscoveryd6eeb095-df2d-4fd0-8241-ab826e5ecb1d

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
Identifying_Imaging_Predictors_Intermediate_Age_Related_Macular_Degeneration_Progression.pdf
Tamanho:
3.86 MB
Formato:
Adobe Portable Document Format