Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ophtha.2004.11.011 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
DNA Methyltransferase Expression (DNMT1, DNMT3a, and DNMT3b) as a Potential Biomarker in Age-Related Macular Degeneration.
J Clin Med
January 2025
H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990096 Lisbon, Portugal.
Age-related macular degeneration (AMD) is a global cause of vision loss, with limited therapeutic options highlighting the need for effective biomarkers. This study aimed to characterize plasma DNA methyltransferase expression (, , and ) in AMD patients and explore divergent expression patterns across different stages of AMD. : Thirty-eight AMD patients were prospectively enrolled and stratified by disease severity: eAMD, iAMD, nAMD, and aAMD.
View Article and Find Full Text PDFFluid fluctuations assessed with artificial intelligence during the maintenance phase impact anti-vascular endothelial growth factor visual outcomes in a multicentre, routine clinical care national age-related macular degeneration database.
Br J Ophthalmol
January 2025
Fundacio Clinic per la Recerca Biomedica, Barcelona, Spain
Aim: To evaluate the impact of fluid volume fluctuations quantified with artificial intelligence in optical coherence tomography scans during the maintenance phase and visual outcomes at 12 and 24 months in a real-world, multicentre, national cohort of treatment-naïve neovascular age-related macular degeneration (nAMD) eyes.
Methods: Demographics, visual acuity (VA) and number of injections were collected using the Fight Retinal Blindness tool. Intraretinal fluid (IRF), subretinal fluid (SRF), pigment epithelial detachment (PED), total fluid (TF) and central subfield thickness (CST) were quantified using the RetinAI Discovery tool.
Optical coherence tomography and fundus autofluorescence features in choroidal and retinal tumors.
Lasers Med Sci
January 2025
Department of Ophthalmology, Ankara University School of Medicine, Ankara, Turkey.
The aim of the study was todescribe the clinical features, optical coherence tomography (OCT) and fundus autofluorescence (FAF) imaging in patients with choroidal and retinal tumors. Ninety eyes of 89 patients with treatment-naive macular, midperipheral, and juxtapapillary choroidal and retinal tumors were retrospectively included in the study. All patients underwent a complete ophthalmic examination, B-mode ultrasonography, OCT, and FAF imaging.
View Article and Find Full Text PDFLongitudinal Changes of Retinal Nerve Fiber Layer and Ganglion Cell-Inner Plexiform Layer in Highly Myopic Glaucoma: A 3-year Cohort Study.
Ophthalmology
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510623, China. Electronic address:
Purpose: To describe the longitudinal changes in peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell-inner plexiform layer (mGC-IPL) thicknesses in highly myopic eyes with and without glaucoma, and to investigate the effects of high myopia (HM) on the sectoral patterns of pRNFL and mGC-IPL thinning.
Design: Longitudinal cohort study.
Participants: A total of 243 eyes from 243 individuals with 3-year follow-up were included in this study: 109 eyes in the HM group, 64 eyes in the open-angle glaucoma (OAG) group and 70 eyes in the highly myopic glaucoma (HMG) group.
Evolutionary patterns and research frontiers of artificial intelligence in age-related macular degeneration: a bibliometric analysis.
Quant Imaging Med Surg
January 2025
Department of Ophthalmology, Key Lab of Ocular Fundus Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Age-related macular degeneration (AMD) represents a significant clinical concern, particularly in aging populations, and recent advancements in artificial intelligence (AI) have catalyzed substantial research interest in this domain. Despite the growing body of literature, there remains a need for a comprehensive, quantitative analysis to delineate key trends and emerging areas in the field of AI applications in AMD. This bibliometric analysis sought to systematically evaluate the landscape of AI-focused research on AMD to illuminate publication patterns, influential contributors, and focal research trends.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!