While the primary method for evaluating diabetic retinopathy involves direct and indirect ophthalmoscopy, various imaging modalities are of significant utility in the screening, evaluation, diagnosis, and treatment of different presentations and manifestations of this disease. This manuscript is a review of the important imaging modalities that are used in diabetic retinopathy, including color fundus photography, fluorescein angiography, B-scan ultrasonography, and optical coherence tomography. The article will provide an overview of these different imaging techniques and how they can be most effectively used in current practice.
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http://dx.doi.org/10.4103/0974-9233.151887 | DOI Listing |
Clin Ophthalmol
January 2025
Department of Ophthalmology, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Purpose: The factors that contribute to the progression of macular involvement in RRD have not been extensively investigated. The purpose of this study is to evaluate the association between the preoperative characteristics and macular status of the eyes with rhegmatogenous retinal detachment (RRD).
Methods: This is a retrospective cohort study.
Cureus
December 2024
Trauma and Orthopaedics, Gateshead Health National Health Services (NHS) Foundation Trust, Gateshead, GBR.
Introduction Diabetes is a rapidly growing global health concern, with the World Health Organization (WHO) estimating that 300 million adults will have diabetes by 2025. This chronic condition is associated with complications, including nephropathy, retinopathy, neuropathy, cardiovascular disease, and diabetic foot ulcers (DFUs), which can lead to amputation. Diabetic septic foot (DSF), a severe form of diabetic foot disease, is defined by the WHO as the presence of infection, ulceration, or tissue destruction in the lower limb, often accompanied by neurological abnormalities, peripheral vascular disease, and metabolic complications of diabetes.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, 75660, Pakistan.
Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it challenging to trust predictions, particularly in uncertain cases. This sort of uncertainty can be crucial in medical image analysis; diabetic retinopathy is an example where even slight errors without an indication of confidence can have adverse impacts.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Mathematics, Wollega University, 395, Nekemte, Ethiopia.
Topological indices (TIs) of chemical graphs of drugs hold the potential to compute important properties and biological activities leading to more thoughtful drug design. Here, we considered certain drugs treating eye-related disorders, including cataract, glaucoma, diabetic retinopathy, and macular degeneration. By combining modeling and decision-makings approaches, this study presents a cost-effective way to comprehend the behavior of molecules.
View Article and Find Full Text PDFBMJ Open
January 2025
Diabetes Care Unit, Caen University Hospital, Caen cedex 09, France.
Introduction: Glycated haemoglobin (HbA1c) is currently the gold standard for assessing glycaemic control in diabetes, given the established relationship with microvascular and macrovascular complications in this condition. However, HbA1c is affected by non-glycaemic factors, while also failing to provide data on hypoglycaemic exposure and glucose variability, which are associated with adverse vascular outcomes. Continuous glucose monitoring (CGM)-derived glucose metrics provide a more comprehensive assessment of glycaemia, but their role in predicting future vascular complications remains unclear.
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