Gregor S. Reiter MD, PhD , Dmitrii Lachinov MSc , Wolf Bühl MD , Günther Weigert MD , Christoph Grechenig MD , Julia Mai MD , Hrvoje Bogunović PhD , Ursula Schmidt-Erfurth MD
{"title":"A Novel Management Challenge in Age-Related Macular Degeneration","authors":"Gregor S. Reiter MD, PhD , Dmitrii Lachinov MSc , Wolf Bühl MD , Günther Weigert MD , Christoph Grechenig MD , Julia Mai MD , Hrvoje Bogunović PhD , Ursula Schmidt-Erfurth MD","doi":"10.1016/j.oret.2024.10.029","DOIUrl":"10.1016/j.oret.2024.10.029","url":null,"abstract":"<div><h3>Purpose</h3><div>The progression of geographic atrophy (GA) secondary to age-related macular degeneration is highly variable among individuals. Prediction of the progression is critical to identify patients who will benefit most from the first treatments currently approved. The aim of this study was to investigate the value and difference in predictive power between ophthalmologists and artificial intelligence (AI) in reliably assessing individual speed of GA progression.</div></div><div><h3>Design</h3><div>Prospective, expert and AI comparison study.</div></div><div><h3>Participants</h3><div>Eyes with natural progression of GA from a prospective study (NCT02503332).</div></div><div><h3>Methods</h3><div>Ophthalmologists predicted yearly growth speed of GA as well as selected the potentially faster-growing lesions from 2 eyes based on fundus autofluorescence (FAF), near-infrared reflectance (NIR), and OCT. A deep learning algorithm predicted progression solely on the baseline OCT (Spectralis, Heidelberg Engineering).</div></div><div><h3>Main Outcome Measures</h3><div>Accuracy, weighted κ, and concordance index (c-index) between the prediction made by ophthalmology specialists, ophthalmology residents, and the AI algorithm.</div></div><div><h3>Results</h3><div>A total of 134 eyes of 134 patients from a phase II clinical trial were included; among them, 53 were from the sham arm, and 81 were from untreated fellow eyes. Four ophthalmologists performed 2880 gradings. Human experts reached an accuracy of 0.37, 0.43, and 0.41 and a κ of 0.06, 0.16, and 0.18 on FAF, NIR + OCT, and FAF + NIR + OCT, respectively. On a pairwise comparison task, human experts achieved a c-index of 0.62, 0.59, and 0.60. Automated AI-based analysis reached an accuracy of 0.48 and κ of 0.23 on the first task, and c-index of 0.69 on the second task solely utilizing OCT imaging.</div></div><div><h3>Conclusions</h3><div>Prediction of individual progression will become an important task for patient counseling, most importantly with the treatments becoming available. Human gradings improved with the availability of OCT. However, automated AI performed better than ophthalmologists in several comparisons. Artificial intelligence–supported decisions improve clinical precision, access to timely care for the community, and socioeconomic feasibility in the management of the leading cause of irreversible vision loss.</div></div><div><h3>Financial Disclosure(s)</h3><div>The author(s) have no proprietary or commercial interest in any materials discussed in this article.</div></div>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":"9 5","pages":"Pages 421-430"},"PeriodicalIF":4.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142625262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathan D. Shirian BA , Jacqueline K. Shaia MS , Nikhil Das MD , Katherine E. Talcott MD , Rishi P. Singh MD , Danny A. Mammo MD
{"title":"Associations between Androgen Exposure, Polycystic Ovary Syndrome, and Transmasculine Individuals with Central Serous Chorioretinopathy","authors":"Jonathan D. Shirian BA , Jacqueline K. Shaia MS , Nikhil Das MD , Katherine E. Talcott MD , Rishi P. Singh MD , Danny A. Mammo MD","doi":"10.1016/j.oret.2024.10.026","DOIUrl":"10.1016/j.oret.2024.10.026","url":null,"abstract":"<div><h3>Purpose</h3><div>The prevalence of central serous chorioretinopathy (CSCR) among transmasculine, polycystic ovary syndrome (PCOS), and androgen-exposed patients remains largely unexplored. Although these groups involve patients with elevated testosterone levels, previous literature is inconclusive on the influence of testosterone on CSCR. This study aimed to determine the relationship between CSCR and cohorts with exogenous androgen exposure, female-to-male (FTM) transgender individuals, and those diagnosed with PCOS.</div></div><div><h3>Design</h3><div>Cross sectional study.</div></div><div><h3>Subjects</h3><div>Patients with CSCR, receiving exogenous androgens, FTM transgender individuals (defined as gender identity disorder [GID], endocrine disorder not otherwise specified, sex-discordant hormone therapy, and FTM surgery), and patients with PCOS.</div></div><div><h3>Methods</h3><div>An electronic health records platform of >100 million patients was examined for this study. Patients were identified through 10th revision of the International Classification of Diseases and procedural codes. Patients with prior steroid prescriptions, anxiety disorders, and fluticasone use were excluded. Prevalence and prevalence odds ratios (ORs) of comorbid CSCR were calculated using RStudio and 95% confidence intervals (CIs) were calculated.</div></div><div><h3>Main Outcome Measures</h3><div>Prevalence, prevalence ORs, and 95% CIs of CSCR.</div></div><div><h3>Results</h3><div>Among 21 056 patients with CSCR, the mean age was 61 years (standard deviation ± 15), with 67.95% being male. The prevalence of CSCR was highest among those receiving exogenous androgen therapy (24.13 per 1000 patients with CSCR; OR: 5.84, 95% CI: 5.35–6.37). The FTM surgery (OR: 3.04) and sex-discordant hormone therapy (OR: 5.32) cohorts also showed significant associations with CSCR (<em>P</em> < 0.05). Patients with PCOS had a more limited but still significant association (OR: 1.23, 95% CI: 1.013–1.49). Gender identity disorder did not show a significant relationship with CSCR (<em>P</em> > 0.05).</div></div><div><h3>Conclusions</h3><div>This study, which investigated the associations between FTM transgender, patients with PCOS, and CSCR demonstrates that conditions linked with elevated androgens are associated with higher odds of CSCR. These findings emphasize the value of ophthalmic screenings in these populations, particularly within the transgender health care community.</div></div><div><h3>Financial Disclosure(s)</h3><div>Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.</div></div>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":"9 5","pages":"Pages 460-464"},"PeriodicalIF":4.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142625273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brendan K. Tao BHSc , Ryan S. Huang MSc , Andrew Mihalache , Jiwon Hwang BHSc , Mariam Issa MD , Sumana Naidu MD , Marko M. Popovic MD, MPH , Charles C. Wykoff MD, PhD , Bryon McKay MD, PhD , Peter J. Kertes MDCM , Peng Yan MD , David T. Wong MD , Radha P. Kohly MD, PhD , Rajeev H. Muni MD, MSc
{"title":"Endophthalmitis after Bilateral Same-day versus Unilateral Intravitreal Injection","authors":"Brendan K. Tao BHSc , Ryan S. Huang MSc , Andrew Mihalache , Jiwon Hwang BHSc , Mariam Issa MD , Sumana Naidu MD , Marko M. Popovic MD, MPH , Charles C. Wykoff MD, PhD , Bryon McKay MD, PhD , Peter J. Kertes MDCM , Peng Yan MD , David T. Wong MD , Radha P. Kohly MD, PhD , Rajeev H. Muni MD, MSc","doi":"10.1016/j.oret.2024.12.005","DOIUrl":"10.1016/j.oret.2024.12.005","url":null,"abstract":"","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":"9 5","pages":"Pages 493-495"},"PeriodicalIF":4.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abera Saeed MChD , Callum Gin MD , Lauren A.B. Hodgson MPH , Maxime Jannaud MEng , Xavier Hadoux MEng, PhD , Emily K. Glover OD , Erin E. Gee BAppSc(MedRad) , Peter van Wijngaarden MBBS(Hons), PhD , Robyn H. Guymer MBBS, PhD , Zhichao Wu BAppSc(Optom), PhD
{"title":"Local OCT Structural Correlates of Deep Visual Sensitivity Defects in Early Atrophic Age-Related Macular Degeneration","authors":"Abera Saeed MChD , Callum Gin MD , Lauren A.B. Hodgson MPH , Maxime Jannaud MEng , Xavier Hadoux MEng, PhD , Emily K. Glover OD , Erin E. Gee BAppSc(MedRad) , Peter van Wijngaarden MBBS(Hons), PhD , Robyn H. Guymer MBBS, PhD , Zhichao Wu BAppSc(Optom), PhD","doi":"10.1016/j.oret.2024.12.007","DOIUrl":"10.1016/j.oret.2024.12.007","url":null,"abstract":"<div><h3>Purpose</h3><div>To determine local OCT structural correlates of deep visual sensitivity defects (threshold of ≤10 decibels on microperimetry) in early atrophic age-related macular degeneration (AMD).</div></div><div><h3>Design</h3><div>Prospective observational study.</div></div><div><h3>Participants</h3><div>Forty eyes from 40 participants, with at least incomplete retinal pigment epithelium (RPE) and outer retinal atrophy, or more advanced atrophic lesion(s).</div></div><div><h3>Methods</h3><div>Participants underwent ≥2 targeted, high-density microperimetry tests of atrophic lesions of interest in 1 eye, and high-density 3×3-mm volume scans of that region on a swept-source OCT angiography device, all at a single visit. Seven OCT-defined features of atrophy were manually annotated: hypertransmission, RPE attenuation/disruption, complete RPE loss, ellipsoid zone disruption, external limiting membrane (ELM) disruption, subsidence of the outer plexiform layer and inner nuclear layer, and/or hyporeflective wedge-shaped band, and outer nuclear layer (ONL) thickness.</div></div><div><h3>Main Outcome Measures</h3><div>Association between OCT-defined features of atrophy and presence of a deep visual sensitivity defect at a local, pointwise level.</div></div><div><h3>Results</h3><div>All OCT-defined features of atrophy were individually associated with the presence of a deep visual sensitivity defect at a pointwise level in univariable mixed-effects logistic regression analyses (<em>P</em> < 0.001 for all). However, only hypertransmission, complete RPE loss, ELM disruption, and ONL thickness remained significantly and independently associated with deep visual sensitivity defects in a multivariable analysis (<em>P</em> ≤ 0.011). A prediction model incorporating these 4 OCT features (partial area under the curve [pAUC] at ≥90% specificity = 0.80) outperformed models using any single feature alone in predicting the presence of deep visual sensitivity defects (pAUC = 0.65 to 0.78, respectively; <em>P</em> ≥ 0.040).</div></div><div><h3>Conclusions</h3><div>The study identified hypertransmission, complete RPE loss, ELM disruption, and ONL thickness as key OCT-defined features of atrophy independently associated with deep visual sensitivity defects. These findings are important when considering anatomical outcome measures for evaluating interventions for early atrophic AMD that are most likely to capture beneficial treatment effects that will be accompanied by evidence of functional preservation if measured directly.</div></div><div><h3>Financial Disclosure(s)</h3><div>Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.</div></div>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":"9 5","pages":"Pages 412-420"},"PeriodicalIF":4.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marc J Sirks, Elon H C van Dijk, Husein Ghalayini, Somayeh Bazdar, WeiFeng Yu, Suzanne Yzer, José Martinez, Reinier O Schlingemann, Roselie M H Diederen, Camiel J F Boon
{"title":"The clinical spectrum of polypoidal choroidal vasculopathy in Caucasian patients: a retrospective multicenter cohort study.","authors":"Marc J Sirks, Elon H C van Dijk, Husein Ghalayini, Somayeh Bazdar, WeiFeng Yu, Suzanne Yzer, José Martinez, Reinier O Schlingemann, Roselie M H Diederen, Camiel J F Boon","doi":"10.1016/j.oret.2025.04.019","DOIUrl":"https://doi.org/10.1016/j.oret.2025.04.019","url":null,"abstract":"<p><strong>Purpose: </strong>To describe clinical characteristics of polypoidal choroidal vasculopathy (PCV) in a large Caucasian cohort.</p><p><strong>Design: </strong>Multicenter retrospective cohort study in 3 tertiary referral centers in the Netherlands.</p><p><strong>Subjects: </strong>Caucasian patients with an indocyanine green angiography-confirmed diagnosis of PCV in one or both eyes.</p><p><strong>Methods: </strong>The medical charts and multimodal imaging (MMI) of the included patients were assessed retrospectively by 2 independent assessors. Any discrepancies between graders were resolved by a senior retinal specialist. A predefined set of phenotypic characteristics were graded on MMI, including optical coherence tomography, color fundus photography, fundus fluorescein angiography, and indocyanine green angiography.</p><p><strong>Main outcome measures: </strong>PCV patients were distributed among 4 phenotypically different types, based on a previously published description: PCV-AMD: PCV with drusenoid age-related macular degeneration (AMD; type A); PCV-BNN: PCV without drusen but with a branching neovascular network (BNN; type B); PCV-i: isolated PCV without drusen or a BNN (type C); PCV-CSC: PCV with a background of central serous chorioretinopathy (CSC; type D).</p><p><strong>Results: </strong>We included 332 eyes of 305 PCV patients, with 179 out of 305 patients being female (58.7%). The average age at diagnosis was 73 years. The included eyes had the following types: PCV-AMD in 188 eyes (58.4%); PCV-BNN in 61 eyes (18.9%); PCV-i in 15 eyes (4.7%); PCV-CSC in 58 eyes (18.0%). Patients with PCV-AMD were older and more often female than patients with PCV-CSC. The median best-corrected visual acuity of affected eyes was 0.30 logMAR (interquartile range: 0.10 - 0.52), with a large range in each type. A median of 2 polypoidal lesions per eye was found (range: 1 - 12), with no significant differences between types. The choroidal thickness beneath the fovea and beneath polypoidal lesions was significantly higher in PCV-CSC than in PCV-AMD (both p<0.001).</p><p><strong>Conclusions: </strong>PCV in Caucasian patients comprises a spectrum of different phenotypes: it may present with signs of drusenoid AMD, with a background of CSC, or without signs of either diseases. We found a different phenotype distribution when compared to published findings in Asian patients with PCV.</p>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Isabela Martins Melo, Aurora Pecaku, Saba Samet, Paola Oquendo, Marko M Popovic, Sue Ellen Demian, Miguel Cruz-Pimentel, Rajeev H Muni
{"title":"Assessment of Proliferative Vitreoretinopathy in Rhegmatogenous Retinal Detachment with OCT: Revisiting the 1991 Retina Society Classification.","authors":"Isabela Martins Melo, Aurora Pecaku, Saba Samet, Paola Oquendo, Marko M Popovic, Sue Ellen Demian, Miguel Cruz-Pimentel, Rajeev H Muni","doi":"10.1016/j.oret.2025.04.017","DOIUrl":"https://doi.org/10.1016/j.oret.2025.04.017","url":null,"abstract":"<p><strong>Purpose: </strong>To characterize proliferative vitreoretinopathy(PVR) with swept-source optical coherence tomography(SS-OCT) in rhegmatogenous retinal detachment(RRD).</p><p><strong>Design: </strong>Prospective cross-sectional cohort study.</p><p><strong>Subjects: </strong>Consecutive primary RRDs presenting to St. Michael's Hospital from 2021 to 2023.</p><p><strong>Methods: </strong>Ultra-widefield(UWF) fundus imaging was staged per the Retina Society 1991 PVR Classification and correlated with retinal microstructural changes assessed with SS-OCT.</p><p><strong>Main outcome measures: </strong>SS-OCT findings in PVR.</p><p><strong>Results: </strong>100 patients were included. Patients with no signs of PVR or PVR A (49/100) were more likely to have a preserved bacillary layer on SS-OCT with low-amplitude outer retinal corrugations(ORCs) compared to the PVR B/C group. PVR B(retinal wrinkling/vessel tortuosity) was present in 24%(24/100) of cases, all of which had high-amplitude ORCs. PVR C (27/100) was clinically divided into patients with subretinal membranes(SR) [63%(17/27)] and patients with fixed retinal folds(IR)[37%(10/27)]. The SR subtype was associated with shallow, slowly progressive detachments. On SS-OCT, they had a thick hyperreflective membrane emanating from the retinal pigment epithelium and extending along the outer retinal surface, causing tractional folds of the outer retina in 47%(8/17) of cases and tractional bacillary layer detachment in 12%(2/17) of cases. Outer retinal thinning/atrophy was commonly observed in the SR subtype. Patients with the IR subtype had bullous detachments on fundus examination and extensive intra-retinal changes on SS-OCT. These had a thickened bacillary layer with high-amplitude ORCs with photoreceptor-photoceptor apposition within or between individual corrugations(fused ORCs). Significant pre-retinal membranes with loss of differentiation of the inner and outer retinal lamellae and distortion of underlying ORCs were observed.</p><p><strong>Conclusion: </strong>Our study demonstrates imaging evidence of varying PVR morphology. The IR subtype occurs in bullous detachments with intrinsic retinal changes that span from fused and distorted corrugations to retinal thickening, pre-retinal membranes and loss of differentiation of retinal lamella. The SR subtype occurs in shallow, slowly progressive detachments, where the proliferation is associated with membranes emanating from the RPE, outer retinal thinning/atrophy and tractional outer retinal folds. We present a novel OCT classification of primary PVR, which varies based on RRD morphology. Pathological intraretinal apposition in ORCs may contribute to glial proliferation and subsequent intra-retinal and pre-retinal changes.</p>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tien-En Tan, Yi Pin Ng, Claire Calhoun, Jia Quan Chaung, Jie Yao, Yan Wang, Liangli Zhen, Xinxing Xu, Yong Liu, Rick Sm Goh, Gabriele Piccoli, Stela Vujosevic, Gavin Sw Tan, Jennifer K Sun, Daniel Sw Ting
{"title":"Detection of Center-Involved Diabetic Macular Edema with Visual Impairment using Multimodal Artificial Intelligence Algorithms.","authors":"Tien-En Tan, Yi Pin Ng, Claire Calhoun, Jia Quan Chaung, Jie Yao, Yan Wang, Liangli Zhen, Xinxing Xu, Yong Liu, Rick Sm Goh, Gabriele Piccoli, Stela Vujosevic, Gavin Sw Tan, Jennifer K Sun, Daniel Sw Ting","doi":"10.1016/j.oret.2025.04.016","DOIUrl":"https://doi.org/10.1016/j.oret.2025.04.016","url":null,"abstract":"<p><strong>Purpose: </strong>To develop artificial intelligence (AI) models for automated detection of center-involved diabetic macular edema (CI-DME) with visual impairment using color fundus photographs (CFP) and optical coherence tomography (OCT) scans.</p><p><strong>Design: </strong>AI effort using pooled data from multi-center studies.</p><p><strong>Participants: </strong>Datasets consisted of diabetic participants with or without CI-DME, who had CFP, OCT, and best corrected visual acuity (BCVA) obtained after manifest refraction. The development dataset was from DRCR Retina Network clinical trials, external testing dataset 1 was from the Singapore National Eye Centre, Singapore, and external testing dataset 2 was from the Eye Clinic, IRCCS MultiMedica, Milan, Italy.</p><p><strong>Methods: </strong>AI models were trained to detect CI-DME, visual impairment (BCVA 20/32 or worse), and CI-DME with visual impairment, using CFPs alone, OCTs alone, and both CFPs and OCTs together (multimodal). Data from 1,007 eyes were used to train and validate the algorithms, and data from 448 eyes were used for testing.</p><p><strong>Main outcome measures: </strong>Area under the receiver operating characteristic curve (AUC) values.</p><p><strong>Results: </strong>In the primary testing set, the CFP model, OCT model, and multimodal model had AUCs of 0.848 (95% CI 0.787-0.900), 0.913 (95% CI 0.870-0.947), and 0.939 (95% CI 0.906-0.964), respectively, for detection of CI-DME with visual impairment. In external testing dataset 1, the CFP, OCT, and multimodal models had AUCs of 0.756 (95% CI 0.624-0.870), 0.949 (95% CI 0.889-0.989), and 0.917 (95% CI 0.837-0.979), respectively, for detection of CI-DME with visual impairment. In external testing dataset 2, the CFP, OCT, and multimodal models had AUCs of 0.881 (95% CI 0.822-0.940), 0.828 (95% CI 0.749-0.905), and 0.907 (95% CI 0.852-0.952), respectively, for detection of CI-DME with visual impairment.</p><p><strong>Conclusion: </strong>The AI models showed good diagnostic performance for detection of CI-DME with visual impairment. The multimodal (CFP and OCT) model did not offer additional benefit over the OCT model alone. If validated in prospective studies, these AI models could potentially help to improve triage and detection of patients who require prompt treatment.</p>","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multilayer Retinal Hemorrhages after a Switch to Progestin-Only Birth Control.","authors":"Bruno Guerreiro Dias, Rosa Pinheiro, Inês Leal","doi":"10.1016/j.oret.2025.04.002","DOIUrl":"https://doi.org/10.1016/j.oret.2025.04.002","url":null,"abstract":"","PeriodicalId":19501,"journal":{"name":"Ophthalmology. Retina","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144038858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}