ArticleTranslational vision science & technology2021
Relationships Between Retinal Vascular Characteristics and Renal Function in Patients With Type 2 Diabetes Mellitus.
Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Uric Acid and Diabetic Retinopathy: A Systematic Review and Meta-Analysis.Frontiers in public health · 2022Pooled it
- Merging artificial intelligence and retinal vascular geometric parameters: A novel tool for diagnosis and prognosis prediction of diabetic nephropathy.Chinese medical journal · 2026Article
- Retinal Vascular Features and Risk of Colorectal Cancer Incidence and Mortality: A Population-Based Cohort Study.Ophthalmology and therapy · 2026Article
- Albuminuria, kidney function, and automatically quantified retinal vascular phenotypes in hospitalized adults with type 2 diabetes.Frontiers in endocrinology · 2026Article
- Effect of RAS inhibitors on retinal microvasculature in DKD using AI-based ultra-wide-field images.Frontiers in endocrinology · 2026Article
- Relationships between multimodal ocular imaging and white matter hyperintensity volume.Quantitative imaging in medicine and surgery · 2025Article
- Relationships Between Retinal Vascular Characteristics and Systemic Indicators in Patients With Diabetes Mellitus.Investigative ophthalmology & visual science · 2025Article
- Effect and factors associated with reactivation after intravitreal conbercept or aflibercept in retinopathy of prematurity.European journal of medical research · 2025Article
- Combined use of anti-platelet aggregation drugs and shujin huoluo decoction for diabetic peripheral vascular disease: enhanced therapeutic efficacy.American journal of translational research · 2025Article
- Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images.NPJ digital medicine · 2024Article
- Artificial Intelligence-Assisted Perfusion Density as Biomarker for Screening Diabetic Nephropathy.Translational vision science & technology · 2024Article
- Correlation between retinal vascular geometric parameters and pathologically diagnosed type 2 diabetic nephropathy.Clinical kidney journal · 2024Article
- Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation.BMC geriatrics · 2024Article
- The association of global vessel width with cognitive decline and cerebral small vessel disease burden in the KaiLuan study.Quantitative imaging in medicine and surgery · 2024Article
- Evaluating the potential of retinal photography in chronic kidney disease detection: a review.PeerJ · 2024Review
- Panretinal photocoagulation plus intravitreal conbercept for diabetic retinopathy in real world: a retrospective study.BMC ophthalmology · 2023Article
- Deep learning-based fundus image analysis for cardiovascular disease: a review.Therapeutic advances in chronic disease · 2023Review
- Deep-Learning-Based Hemoglobin Concentration Prediction and Anemia Screening Using Ultra-Wide Field Fundus Images.Frontiers in cell and developmental biology · 2022Article
- Correlation of Glucose and Lipid Metabolism Levels and Serum Uric Acid Levels with Diabetic Retinopathy in Type 2 Diabetic Mellitus Patients.Emergency medicine international · 2022Article
- Prediction of Diabetes through Retinal Images Using Deep Neural Network.Computational intelligence and neuroscience · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
Purpose: To develop a deep learning-based method to achieve vessel segmentation and measurement on fundus images, and explore the quantitative relationships between retinal vascular characteristics and the clinical indicators of renal function. Methods: We recruited patients with type 2 diabetes mellitus with different stages of diabetic retinopathy (DR), collecting their fundus photographs and results of renal function tests. A deep learning framework for retinal vessel segmentation and measurement was developed. The correlation between the renal function indicators and the severity of DR were explored, then the correlation coefficients between indicators of renal function and retinal vascular characteristics were analyzed. Results: We included 418 patients (eyes) with type 2 diabetes mellitus. The albumin to creatinine ratio, blood uric acid, blood creatinine, blood albumin, and estimated glomerular filtration rate were significantly correlated with the progression of DR (P < 0.05); no correlation existed in other metrics (P > 0.05). The fractal dimension was found to significantly correlate with most of the clinical parameters of renal function (P < 0.05). Conclusions: The albumin to creatinine ratio, blood uric acid, blood creatinine, blood albumin, and estimated glomerular filtration rate have significant correlation with the progression of moderate to proliferative DR. Through deep learning-based vessel segmentation and measurement, the fractal dimension was found to significantly correlate with most clinical parameters of renal function. Translational Relevance: Deep learning-based vessel segmentation and measurement on color fundus photographs could explore the relationships between retinal characteristics and renal function, facilitating earlier detection and intervention of type 2 diabetes mellitus complications.
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