View clinical trials related to Diabetic Retinopathy.
Filter by:This trial will study the safety and efficacy of intravenous and sub-tenon delivery of cultured allogeneic adult umbilical cord derived mesenchymal stem cells for the treatment of Eye diseases
Study and assessment of characteristic changes in foveal avascular zone during different stages of diabetic retinopathy using OCTA.
Select Proliferative Proliferative diabetic retinopathy(PDR) patients who are planning to undergo vitrectomy for informed notification. After obtaining informed consent, vitrectomy will be performed. After hemorrhage is removed, the macular shape can be obtained through intraoperative optical coherence tomography (iOCT) real-time scanning. If the central Macular Thickness (CMT) of the patient is ≥250μm, random Enter the Anti-vascular endothelial growth factor (anti-VEGF) treatment group, the internal limiting membrane stripping group and the glucocorticoid treatment group for treatment, and compare the patients' visual acuity (1 day, 7 days, 1 month, 3 months, 6 months) and The thickness of the center of the macula, compare and observe its treatment effect.
In this study, the study team utilize virtual reality (VR) to simulate visual impairments of different types and severity in healthy subjects. The platform implements three of the most widespread forms of visual impairment in the United States (US): age-related macular degeneration (AMD), diabetic retinopathy (DR), and glaucoma, each with three levels of severity, (mild, moderate, and severe). At present, glaucoma is further developed toward a multidimensional visual impairment simulation. The platform is utilized: i) to provide a safe, controllable, and repeatable set of environments for development and preliminary testing of electronic travel aids (ETAs) in a variety of conditions (i.e., using the ETA to navigate in the immersed environment); and ii) to equip blind and low vision (BVI) professionals, inclusive of orientation and mobility (O&M) instructors, with a controlled, tunable training platform for skill/capacity building, assessment, and refinement of O&M techniques, as well as visually impaired trainees with a safe and immersive environment to improve their O&M skills and learn novel techniques. Two sets of hypothesis-driven experiments are proposed to assess the feasibility of the platform with respect to these two objectives.
To determine if levodopa will slow the appearance of blood vessel changes in the eyes of patients with diabetes. Treatment will be started in patients with diabetes show delays in the electrical activity of the retina when measured non-invasively with a electroretinogram.
The purpose of this study is to determine if providing in clinic point-of-care autonomous AI diabetic retinopathy exams improves screening rates compared to standard of care referral to an eye care provider, in a randomized control trial in a racially and ethnically diverse cohort of youth.
Comparison of high-resolution optical coherence tomography (High-Res-OCT) to conventional imaging modalities for the diagnosis of eye diseases
Retinal ischemia characterization in diabetes - RICHARD
Diabetic macular edema (DME) is one of the leading causes of visual impairment in patients with diabetes. Fluorescein angiography (FA) plays an important role in diabetic retinopathy (DR) staging and evaluation of retinal vasculature. However, FA is an invasive technique and does not permit the precise visualization of the retinal vasculature. Optical coherence tomography (OCT) is a non-invasive technique that has become popular in diagnosing and monitoring DR and its laser, medical, and surgical treatment. It provides a quantitative assessment of retinal thickness and location of edema in the macula. Automated OCT retinal thickness maps are routinely used in monitoring DME and its response to treatment. However, standard OCT provides only structural information and therefore does not delineate blood flow within the retinal vasculature. By combining the physiological information in FA with the structural information in the OCT, zones of leakage can be correlated to structural changes in the retina for better evaluation and monitoring of the response of DME to different treatment modalities. The occasional unavailability of either imaging modality may impair decision-making during the follow-up of patients with DME. The problem of medical data generation particularly images has been of great interest, and as such, it has been deeply studied in recent years especially with the advent of deep convolutional neural networks(DCNN), which are progressively becoming the standard approach in most machine learning tasks such as pattern recognition and image classification. Generative adversarial networks (GANs) are neural network models in which a generation and a discrimination networks are trained simultaneously. Integrated network performance effectively generates new plausible image samples. The aim of this work is to assess the efficacy of a GAN implementing pix2pix image translation for original FA to synthetic OCT color-coded macular thickness map image translation and the reverse (from original OCT color-coded macular thickness map to synthetic FA image translation).
Diabetic retinopathy (DR) is a complication of diabetes in which blood vessels supplying blood to the back of the eye (retina) are dysfunctional. This can lead to an improper supply of oxygen and nutrients to the retinal tissue, or it may trigger the formation of new blood vessels in response to the oxygen/nutrient deficiency. Ultimately affecting the normal vision. There is no known marker that will provide information on the health status of retinal blood vessels. Using highly specialized cells in the blood, this study will try to discover a marker of DR.