Results 151 to 160 of about 468,347 (281)

DIABETIC RETINOPATHY [PDF]

Australian and New Zealand Journal of Ophthalmology, 1979
openaire   +5 more sources

Macular telangiectasia type 2 genetic risk variants associated with clinical characteristics in the Slovenian cohort

Acta Ophthalmologica, EarlyView.
Abstract Purpose Early diagnosis of macular telangiectasia type 2 (MacTel) remains challenging, and the contribution of genetic variation to its clinical heterogeneity is unclear. This study investigated associations between MacTel risk variants and clinical characteristics in a Slovenian cohort.
Ajda Kunčič, Nataša Debeljak, Petra Hudler, Janez Smerkolj, Mojca Urbančič   +4 more
wiley   +1 more source

Low‐contrast visual acuity versus low‐luminance visual acuity in choroideremia

Clinical and Experimental Optometry, EarlyView., 2020
Clinical relevance Choroideremia is a progressive X‐linked inherited rod‐cone dystrophy. Patients present with nyctalopia and progressive visual field loss, but visual acuity remains well preserved early on. This study showed that low‐luminance visual acuity may be a useful clinical outcome measure during earlier disease stages.
Laura J Wood, Jasleen K Jolly, Colm D Andrews, Iain R Wilson, Doron Hickey, Jasmina Cehajic‐Kapetanovic, Robert E MacLaren   +6 more
wiley   +1 more source

Angiogenesis-RNA modification in diabetic retinopathy: biomarkers and targets. [PDF]

Int J Ophthalmol
Wang X, Wu DP, Du W, Li R, Lou W, Chen RR, Liao YJ, Li Q, Li XM, Cui HP, Zhang JL.   +10 more
europepmc   +1 more source

Type 2 diabetes and diabetic retinopathy in Finland during 2000–2017 based on nationwide survey and register data

Acta Ophthalmologica, EarlyView.
Abstract Purpose To evaluate changes in the prevalence and incidence of type 2 diabetes, the association between type 2 diabetes and diabetic retinopathy (DR), and the impact of type 2 diabetes and DR on visual acuity (VA) in Finland during 2000–2017. Methods We used three nationwide health examination surveys conducted in 2000, 2011 and 2017, with a ...
Petri Purola, Jorma Lahtela, Katri Sääksjärvi, Seppo Koskinen, Hannu Uusitalo   +4 more
wiley   +1 more source

MicroRNAs: A Social Network in Diabetic Retinopathy. [PDF]

Biomolecules
Ngumbi S, Gad MS, Ye K, Ye S, Taylor C, Mahrous M, Bartoli M.   +6 more
europepmc   +1 more source

Inter‐eye microvascular asymmetry across stages of diabetic retinopathy: An OCT angiography study

Acta Ophthalmologica, EarlyView.
Abstract Purpose To evaluate inter‐eye asymmetry in macular microvascular parameters across different stages of diabetic retinopathy (DR) using OCT angiography, and to explore the associations with clinical factors. Methods This cross sectional study included 442 eyes of 221 patients with diabetes mellitus type 2. Central subfield thickness (CST), area
Stela Vujosevic, Sema Tamer Kaderli, Gabriele Piccoli, Elena Tagliabue, Camilla Alovisi, Vanda Bucceri, Emanuele Torti, Elisa Marenzi, Dogukan Ozen, Livio Luzi, Paolo Nucci   +10 more
wiley   +1 more source

Regulation of Glutathione Peroxidase 4 in Diabetic Retinopathy. [PDF]

Int J Mol Sci
Malaviya P, Kowluru RA.
europepmc   +1 more source

Explainable deep learning self‐supervised vision transformer for fundus‐based myopia classification

Acta Ophthalmologica, EarlyView.
Abstract Purpose To develop and validate a self‐supervised vision transformer (ViT) for automated three‐class classification of Normal, High Myopia (HM), and Pathologic Myopia (PM) from colour fundus photographs, with anatomically faithful interpretability. Methods A DINOv2 self‐supervised ViT was fine‐tuned using a two‐stage transfer‐learning protocol
Eirini Maliagkani, Christos Tsoutsas, Nikolaos Papageorgiou, Ioannis D. Apostolopoulos, Nikolaos Papandrianos, Ilias Georgalas, Elpiniki Papageorgiou   +6 more
wiley   +1 more source

Fundus camera and artificial intelligence for diabetic retinopathy screening in a São Paulo shelter. [PDF]

Rev Assoc Med Bras (1992)
Dias JGDS, Andrade GC, Macedo JVTL, Graziano AS.   +3 more
europepmc   +1 more source