Active clinical trials for "Retinal Diseases"

The high doses of interferon α-2b therapy in patients with melanomas of the skin may induced retinopathy, especially in the patients with hypertension or diabetes, so these patients should be followed up after treatment.

The CLEAR study is testing the level of agreement between visual acuity and Amsler grid testing using a mobile vision testing application, Checkup Study, and standard in office methods. In addition the percent of patients able to successfully complete home testing on the digital device will be assessed.

This study is to build an multi-modal artificial intelligence ophthalmological imaging diagnostic system covering multi-level medical institutions. We are going to evaluate this system in an evidence-based medicine view, taking diabetic retinopathy as an example. And clinical diagnostic criteria will be made based on this multi-modal artificial intelligence imaging diagnostic system. The study is designed as a cross-sectional study involving 1,000 normal individuals, 1,000 diabetes patients without ocular complications, and 1,000 with diabetic ocular complications. Statistical analysis of the diagnostic sensitivity and specificity of the artificial intelligence system will be made, and ROC curve wil be draw.

Comparison of the visual quality of traditional ultrasound biometrics and lenstar on the cataract patients with diabetic retinopathy after vitrectomy in the 3 months later.To evaluate the clinical value of lenstar in post-vitrectomy patients.

Genetic diagnostic testing becomes increasingly important for enhancing our understanding of the disease notably the genetics and providing the best care to the patients, and several initiatives seek to gather more data in order to better understand and treat those diseases. Within this context, Novartis and SENSGENE/Strasbourg University Hospitals (HUS) want to set up, through a research collaboration, a non-interventional study in France to better understand the epidemiology of IRDs, particularly the distribution of pathogenic variants in patients. This study aims to serve as a starter study to implement an IRD national registry led by SENSGENE/Strasbourg University Hospitals (HUS). The data collected might also be used to populate global European registries. The primary objective has been defined in a sufficient broad way to address this perspective of registries. As IRDs can present from birth to late middle age, this study will include both children and adult patients regardless of age, sex, and the type of IRD.

Detecting the influence of cataract surgery on the development of diabetic retinopathy in patients with diabetes mellitus type 2 with and without diabetic retinopathy using OCT angiography.

Objective: To evaluate the clinical manifestations and surgical prognosis of macular tractional retinoschisis in proliferative diabetic retinopathy. Design: Retrospective case series. Participants: Cases with macular tractional retinoschisis with or without combined traction detachment (TRD) in proliferative diabetic retinopathy confirmed by optical coherence tomography (OCT) at a single institution between January 2007 and August 2010. Methods: Cases were divided into two groups. Group A had tractional retinoschisis only while Group B had TRD with retinoschisis of the elevated retina. Clinical data including OCT findings were recorded and analyzed. Main Outcome Measures: Demographic data, clinical pictures, surgical results, and OCT findings will be compared between two the groups.

The primary objective of this study is to identify whether cardiovascular complication rates are lower in patients who participate in managed diabetes care, in comparison to provincial and national rates. This study will involve an electronic medical record (EMR) chart audit, augmented by a manual review of hospital and other pertinent medical records, as necessary.

The purpose of this study is explore if a partnership and screening program put in place between a busy retina practice and their referring diabetes care offices can improve diabetic retinopathy and diabetic macular edema diagnosis, care and overall diabetes control in patients with diabetic eye disease.

This is an observational cross sectional study aimed to evaluate the performance of the artificial intelligence algorithm in detecting any grade of diabetic retinopathy using retinal images from patients with diabetes.