Active clinical trials for "Retinal Diseases"

To evaluate whether the use of the Argus II retinal prosthesis improves the confidence and self-esteem of patients with advanced retinopathy pigmentosa

Diabetic retinopathy (DR) is one of the most common causes of blindness worldwide. It is a progressive disease and its detection in early phases is very crucial for visional outcomes. miRNA of exosomes has been recently considered as a potential circulating marker of oculopathy, including age-related macular degeneration and uveal melanoma. Therefore, the primary objective of this study is to evaluate whether the serum exosomal miRNA could be prospective prognosis biomarker to investigate the initiation and development of DR. This case-control study is planned to include diabetic patients, and patients without DR, which serve as controls. Other participants will be divided into four groups by different DR stages according to the guideline from AAO. Information and samples of all trial participants will be collected at the inception of the study, including basic information, medical history, serum samples, and several ophthalmologic examinations. Then these information and examinations will be collected at regular intervals: every 12 months until 5 years. Different statistical methods will be used to identify significant associations between DR progression and different exosomal miRNA. We hypothesis that there could exist alert level of exosomal miRNAs which indicate the onset and development of DR in diabetic patients. Moreover, the selected exosomal miRNAs, being considered together with other information including medical history, blood indicators and ophthalmologic examinations, to be chosen-optimized as a prognostic model for DR, which may help predicting high risk groups of DR and those with poor prognosis. Based on clinical trial data, we will further discuss about possible roles of identified miRNA of exosomes in the pathogenesis of DR.

Canadians fear loss of vision more than any other disability. Vision loss has an enormous impact on quality-of-life and is extremely costly from a societal and economic perspective. In 2001, more than 600,000 Canadians were estimated to have severe vision loss, accounting for 17% of total disability in Canada. One in 9 individuals experience severe vision loss by 65 years of age; however, this increases to 1 in 4 individuals by 75 years. The financial cost of vision loss in Canada is $15.8 billion per year. There is a general perception that vision loss is "normal with aging" but 75% of vision loss is estimated to be preventable. The major causes of severe vision loss are age-related macular degeneration (ARMD), glaucoma, particularly primary open-angle glaucoma (POAG), and diabetic retinopathy (DR). Canada is headed for an epidemic of age-related eye disease and, unless something is done to prepare for this, severe vision loss will have significant consequences in terms of societal and economic costs. Through this proposed Research Program, and in conjunction with the investigators international academic and private sector partners, the investigators will build and develop unique quantitative imaging technologies to permit non-invasive assessment of visual changes, structural changes in the thickness of the retina at the back of the eye and also changes in the amount of blood flowing through the blood vessels that feed the retina with oxygen. This research will add to the investigators basic knowledge in predicting the development of sight-threatening change in patients with the three diseases, and facilitate earlier detection of the problem to help us discover earlier treatments for people with these conditions. The reliability of each imaging technology will be assessed by determining its ability to differentiate between diseased and healthy eyes. Cross-sectional analyses at yearly intervals, as well as change over time analyses, will be undertaken.

The purpose of the Shanghai Diabetic Eye Study (SDES) was to guide and regulate eye health screening of two hundred thousand people with diabetes in the communities in 16 districts in Shanghai, build up the ranks with the general practitioner as the backbone combined, and provide comprehensive, continuous, and dynamic information service to diabetic eye disease health management. We expect to form a "screening, finding, referral, follow-up and health management" diabetic eye disease working mode, integrate medical care and precaution closely, promote the classified management and referral, reduce the prevalence rate of diabetic eye disease, blindness and visual impairment of DR, and improve diabetics consciousness of eye health maintenance. At the same time, we will also improve the device configuration of eye health screening and relevant personnel training mechanism in the community health service centers, thus upgrading the level of eye disease prevention and treatment in Shanghai.

to evaluate vitreomacular interface abnormalities in diabetic retinopathy by using Ocular Coherence Tomography (OCT)

Fundus images are widely used in ophthalmology for the detection of diabetic retinopathy, glaucoma and other diseases. In real-world practice, the quality of fundus images can be unacceptable, which can undermine diagnostic accuracy and efficiency. Here, the researchers established and validated an artificial intelligence system to achieve automatic quality assessment of fundus images upon capture. This system can also provide guidance to photographers according to the reasons for low quality.

The aim of the study is to find out prevalence of diabetic macular edema (DME) in patients with diabetes mellitus in Slovak Republic.The outcome of the project will be epidemiology survey, prevalence of wet form of Diabetic Macular Edema in relation to duration of diabetes, type of diabetes, treatment (insulin vs. OAD or combination) etc. and identification of prognostic factors leading to development of DME.

This is a study of visual outcomes in retinal disease that seeks to identify the causes of visual loss. This data will be used to predict which patients are at risk of losing vision and how they can be better treated.

Using an adaptive optics imaging device, retinal structures are observed in healthy and diseased subjects.