The Relationship of Retinal Vessel Geometric Characteristics to the Incidence and Progression of Diabetic Retinopathy.
Ronald Klein,Kristine E. Lee,Lorraine G. Danforth,Michael Y. Tsai,Ronald E. Gangnon,Stacy E. Meuer,Tien Yin Wong,Carol Y. Cheung,Barbara E.K. Klein +8 more
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TLDR
Retinal vessel geometric characteristics of the retinal venules were associated with progression ofDR; however, most of the RVGCs measured from digitized fundus photographs added little to the assessment of risk of incidence and progression of DR when other risk factors were considered in T1DM and T2DM.About:
This article is published in Ophthalmology.The article was published on 2018-05-17 and is currently open access. It has received 26 citations till now. The article focuses on the topics: Diabetic retinopathy & Fundus (eye).read more
Citations
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Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.
Cam-Hao Hua,Thien Huynh-The,Ki-Young Kim,Seung-Young Yu,Thuong Le-Tien,Gwang Hoon Park,Jae Hun Bang,Wajahat Ali Khan,Sung-Ho Bae,Sungyoung Lee +9 more
TL;DR: An approach of deep bimodal learning is introduced to leverage the performance of DR risk progression identification and shows that the proposed Tri-SDN can combine features of different modalities smoothly and effectively during training and testing processes, respectively.
Journal ArticleDOI
Global Assessment of Retinal Arteriolar, Venular and Capillary Microcirculations Using Fundus Photographs and Optical Coherence Tomography Angiography in Diabetic Retinopathy.
Tien-En Tan,Quang Nguyen,Jacqueline Chua,Leopold Schmetterer,Gavin Tan,Chee Wai Wong,Andrew S H Tsai,Gemmy Cheung,Tien Yin Wong,Daniel Shu Wei Ting +9 more
TL;DR: It is concluded that the retinal microvasculature is globally affected in severe DR, reflecting widespread microvascular impairment in perfusion.
Journal ArticleDOI
Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy.
TL;DR: This study reveals four quantitative OCTA features to produce robust DR detection and staging classification: (ANOVA, P<0.05), VBA, CBA1, VBC, and VWR1.
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Retinal venular tortuosity and fractal dimension predict incident retinopathy in adults with type 2 diabetes: the Edinburgh Type 2 Diabetes Study.
Rachel Forster,Emmanuel Sandoval Garcia,Anniek J. Sluiman,Sheila M. Grecian,Stela McLachlan,Tom MacGillivray,Mark W. J. Strachan,Jackie F. Price,Edinburgh Type Diabetes Study investigators +8 more
TL;DR: In this article, the authors investigated whether a range of prespecified retinal vessel traits were associated with incident diabetic retinopathy in adults with type 2 diabetes, including vessel widths, tortuosity (curvature) and fractal dimensions (network complexity).
Global estimates on the number of people blind or visually impaired by diabetic retinopathy
Janet L Leasher,Jost B. Jonas +1 more
TL;DR: A meta-analysis of published population studies from 1990 to 2012 for the Global Burden of Disease Study 2010 (GBD) yielded estimated global and regional trends in diabetic retinopathy (DR) among other causes of moderate and severe vision impairment as discussed by the authors.
References
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The Wisconsin Epidemiologic Study of Diabetic Retinopathy: II. Prevalence and Risk of Diabetic Retinopathy When Age at Diagnosis Is Less Than 30 Years
TL;DR: In a population-based study in southern Wisconsin, 996 insulin-taking, younger-onset diabetic persons were examined using standard protocols to determine the prevalence and severity of diabetic retinopathy and associated risk variables.
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The Wisconsin epidemiologic study of diabetic retinopathy. III. Prevalence and risk of diabetic retinopathy when age at diagnosis is 30 or more years.
TL;DR: The severity of retinopathy was found to be related to longer duration of diabetes, younger age at diagnosis, higher glycosylated hemoglobin levels, higher systolic BP, use of insulin, presence of proteinuria, and small body mass.