Purpose: To investigate the prognostic value of peripheral retinal nonperfusion in patients with diabetic retinopathy using ultra-widefield fluorescein angiography (UWFA).
Methods: A cross-sectional study included 78 treatment-naïve eyes with nonproliferative and proliferative diabetic retinopathy (NPDR and PDR). Eyes were divided into three groups: mild/moderate NPDR (n = 31), severe NPDR (n = 31), and PDR (n = 16). Three nonperfusion variables were calculated reflecting the proportion of nonperfused to visible retina based on initial UWFA: central nonperfusion (CNP) index, peripheral nonperfusion (PNP) index, and PNP ratio. The relationships between these indices and central subfield thickness (CST) and spectacle-corrected visual acuity (SCVA) were evaluated.
Results: CNP and PNP indices were significantly higher in the PDR group vs. mild/moderate NPDR group (p = 0.007 and 0.008, respectively) but not in the PDR group vs. severe NPDR group (p = 0.149 and p = 0.535, respectively). A significant linear correlation was found between the CNP and PNP indices in both severe NPDR and PDR groups (R = 0.141, p = 0.041, and R = 0.311, p = 0.025, respectively). Nonperfusion predominance was not statistically correlated with the presence of macular edema (p = 0.058) or disorganization of retinal inner layers (p = 1). In the severe NPDR group, there was a moderately positive correlation between CNP index and CST (r = 0.496, p = 0.019) and no correlation between CNP index and SCVA when controlling for CST (p = 0.160). In the PDR group, a strong negative correlation between PNP ratio and CST was found (r = -0.659, p = 0.014), but no correlation was observed between CNP index, CST, and SCVA. In the PDR group, a positive correlation was found between PNP index, PNP ratio, and SCVA (r = 0.549, p = 0.027, and r = 0.626, p = 0.010, respectively), even after controlling for CST (r = 0.599, p = 0.040).
Conclusions: Higher amounts of retinal nonperfusion are seen in patients with more severe retinopathy. Increased CNP is associated with macular thickening and subsequent vision loss. Having predominantly PNP was independently associated with worse VA, regardless of macular thickness. Further studies are needed to investigate the role of PNP in vision loss in diabetic retinopathy.
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http://dx.doi.org/10.1007/s00417-020-04847-w | DOI Listing |
J Imaging Inform Med
January 2025
College of Engineering, Department of Computer Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey.
This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Juan Chen, Department of Ophthalmology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Objective: To design a deep learning-based model for early screening of diabetic retinopathy, predict the condition, and provide interpretable justifications.
Methods: The experiment's model structure is designed based on the Vision Transformer architecture which was initiated in March 2023 and the first version was produced in July 2023 at Affiliated Hospital of Hangzhou Normal University. We use the publicly available EyePACS dataset as input to train the model.
Pak J Med Sci
January 2025
Syed Khurram Shehzad, Department of Medicine, Lahore Medical and Dental College, Lahore, Pakistan.
Objectives: To determine the frequency of undiagnosed hypertension among the diabetic patients with micro vascular complications.
Method: This is a descriptive case series conducted at Department of Medicine, Ghurki Trust Teaching Hospital, in this six month stud which enrolled 213 patients between 18-60 years from March 28, 2021 to September 28, 2021, having diabetes with microvascular complications. These patients were not previously diagnosed as hypertensives.
Purpose: To develop an algorithm using routine clinical laboratory measurements to identify people at risk for systematic underestimation of glycated hemoglobin (HbA1c) due to p.Val68Met glucose-6-phosphate dehydrogenase (G6PD) deficiency.
Methods: We analyzed 122,307 participants of self-identified Black race across four large cohorts with blood glucose, HbA1c, and red cell distribution width measurements from a single blood draw.
Int J Nanomedicine
January 2025
Department of Drug Sciences, University of Pavia, Pavia, 27100, Italy.
Purpose: The main purpose of the study was the formulation development of nanogels (NHs) composed of chondroitin sulfate (CS) and low molecular weight chitosan (lCH), loaded with a naringenin-β-cyclodextrin complex (NAR/β-CD), as a potential treatment for early-stage diabetic retinopathy.
Methods: Different formulations of NHs were prepared by varying polymer concentration, lCH ratio, and pH and, then, characterized for particle size, zeta potential, particle concentration (particles/mL) and morphology. Cytotoxicity and internalization were assessed in vitro using Human Umbilical Vein Endothelial Cells (HUVEC).
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