Spatial distribution of early red lesions is a risk factor for development of vision-threatening diabetic retinopathy
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Summary
The location of early red lesions in diabeticretinopathy is predictive of whether or not individuals will later develop vision-threatening diabetic retinopathy, and should be incorporated into risk models used to recommend control intervals in screening programmes for diabetic Retinopathy.
- Type
- article
- Published
- 2017-09-07
- Cited by
- 20
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W2752816974
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1512715
Keywords
Diabetic retinopathy, Medicine, Human physiology, Risk factor, Ophthalmology
References
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- Visual prognosis after panretinal photocoagulation for proliferative diabetic retinopathy.
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- Identification of independent risk factors for the development of diabetic retinopathy requiring treatment
- Proliferative diabetic retinopathy
- Remarks on Some Nonparametric Estimates of a Density Function
- The blood pressure-induced diameter response of retinal arterioles decreases with increasing diabetic maculopathy
- Regional morphology and pathophysiology of retinal vascular disease.
- Foveal cone photoreceptor involvement in primary open-angle glaucoma
- The regional distribution of diabetic retinopathy lesions may reflect risk factors for progression of the disease.
- Three‐dimensional structure of human retinal vessels studied by vascular casting
- Automated diagnosis of referable maculopathy in diabetic retinopathy screening
- Individualized optimization of the screening interval for diabetic retinopathy: a new model
- On Estimation of a Probability Density Function and Mode
- Role of Blood Flow and Impaired Autoregulation in the Pathogenesis of Diabetic Retinopathy
- Quantitative analysis of retinopathy in type 2 diabetes: identification of prognostic parameters for developing visual loss secondary to diabetic maculopathy.
- Better Bootstrap Confidence Intervals
- Differential diameter responses in macular and peripheral retinal arterioles may contribute to the regional distribution of diabetic retinopathy lesions
Cited by
- ARTERIAL OXYGEN SATURATION IN NEOVASCULARIZATIONS IN PROLIFERATIVE DIABETIC RETINOPATHY
- Morphological and topographical appearance of microaneurysms on optical coherence tomography angiography
- Analysis of the location of retinal lesions in central retinographies of patients with Type 2 diabetes
- Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications
- Repeatability and Reproducibility of Total Retinal Blood Flow Measurements Using Bi-Directional Doppler OCT
- Low educational level increases the incidence of vision-threatening diabetic retinopathy.
- Factores asociados a retinopatía en diabetes mellitus
- Reduced Oxygen Extraction in the Retinal Periphery When the Arterial Blood Pressure Is Increased by Isometric Exercise in Normal Persons
- Topographical Response of Retinal Neovascularization to Aflibercept or Panretinal Photocoagulation in Proliferative Diabetic Retinopathy
- Deep Learning Grading System for Diabetic Retinopathy using Fundus Images. (Dept. E)
- Increasing metabolic variability increases the risk for vitrectomy in proliferative diabetic retinopathy
- Modeling the eye as a window on the body
- The Risk for Developing Vision Threatening Diabetic Retinopathy is Influenced by Heredity to Diabetes
- Microaneurysm detection using high‐speed megahertz optical coherence tomography angiography in advanced diabetic retinopathy
- Enhanced Detection and Segmentation of Diabetic Retinopathy Lesions Using a Region of Interest Strategy
- Research Progress on Biomarkers and Multimodal Imaging in Diabetic Retinopathy
- Regression Patterns of Neovascularization in Proliferative Diabetic Retinopathy Following Panretinal Photocoagulation - A Prospective, Observational Study
- Topographical Response of Retinal Neovascularization to Aflibercept or Panretinal Photocoagulation in Proliferative Diabetic Retinopathy: Post Hoc Analysis of the CLARITY Randomized Clinical Trial
- Deep Learning Grading System for Diabetic Retinopathy using Deep Learning Grading System for Diabetic Retinopathy using Fundus Images. Fundus Images.
- Diabetic retinopathy and maculopathy lesions
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