View clinical trials related to Retinal Disease.
Filter by:To identify biomarkers, obtained using non-invasive procedures, that can predict disease progression and progression to sight-threatening stages of the disease and to characterize the retinal changes that occur in Non Proliferative Diabetic Retinopathy (NPDR).
The objective of this study is to establish deep learning (DL) algorithm to automatically classify multi-diseases from fundus photography and differentiate major vision-threatening conditions and other retinal abnormalities. The effectiveness and accuracy of the established algorithm will be evaluated in community derived dataset.
Retinal diseases are the major cause of blindness in industrialized countries and while tremendous effort is made to develop novel therapeutic strategies to rescue retinal cells, optimal means to evaluate the effects of such treatments is still missing. Nowadays, diseases diagnosis and treatment monitoring are performed thanks to imaging devices and functional measurements (visual acuity of visual field tests). These eye examinations lead to the detection of large scale damages of the retinal tissue, i.e. the diagnosis is made too late or the treatments cannot be adapted in time. With the developed technology, the goal is to provide a tool to the ophthalmologists that allow for better treatment monitoring and early diagnosis. Indeed, the technology is able to image the retinal tissues with a ten times more detailed visualization as compared to the standard of care (OCT instruments, SLO instruments or eye fundus cameras). Towards this goal, we designed the present protocol in order to test the technology with a clinical prototype (Cellularis version 1) in a clinical environment. The objective is to describe and quantify at the cellular level the retina of patient affected by different retinal diseases as well as the healthy retina of people with different ages. We will assess the repeatability of the instrument and compare the results of the measurements with images obtained with the standard of care (OCT and SLO images).
This study is a prospective comparative, randomized, single center study to gather agreement and precision of the Nidek Mirante OCT with SLO and Anterior Segment Imaging capabilities in comparison to the Optovue RTVue XR Avanti OCT and Optos P200DTx in normal subjects, subjects with glaucoma, subjects with retinal disease and subjects with corneal disease.
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.
Fundus imaging has become an integral tool in retinal diagnosis. Although single-field fundus photography covers a vital region of the retina, it leaves a large portion of the periphery undiscovered. Ultra-wide-field imaging systems allowed for visualization of peripheral perfusion abnormalities in myopic eyes that were previously unknown. In Austria, there are two different wide-field imaging systems available. The first device on the market was the Optos (Optos PLC, Dunfermline, UK) and several years later the Clarus 500 (Carl Zeiss, Meditec AG, Jena, Germany) was introduced.
The study is designed to identify the maximum tolerated dose (MTD) for intravitreal (IVT) administration of GEM103 in subjects with geographic atrophy (GA) secondary to dry AMD. Safety and tolerability of a single dose of GEM103 will be assessed based on the occurrence of dose-limiting toxicities (DLTs). Each subject will be followed for safety, pharmacokinetic (PK), clinical, and biomarker evaluations. Three escalating dose cohorts are planned.
Coronary artery disease (CAD) is the leading cause of death in Trinidad and Tobago. Early detection and management can help improve morbidity and mortality. Retinal artery microvascular disease has been shown to directly correlate with coronary artery disease. Retinal artery calibre screening via the Optic Coherence Tomography (OCT) will provide a non-invasive method of diagnosing CAD.
The study aims to collect data on the safety and use of intravitreal aflibercept injections into the eye for the treatment of eye disorders that cause blurred vision or a blind spot due to abnormal or blocked blood vessels. Data will be collected from patients who are being treated for such eye disorders in Mexican routine clinical practice.
The patients who are diagnosed with idiopathic epiretinal membrane and scheduled to undergo epiretinal membrane removal will be treated with conventional vitrectomy and the epiretinal membrane will be removed. After removal of the epiretinal membrane, indocyanine green staining will be used to determine the internal limiting membrane (ILM) peeled off with the epiretinal membrane. (Group 1: spontaneous ILM peeling) If it is confirmed that the internal limiting membrane is not peeled together, the investigators determine whether the active Internal limiting membrane peeling is performed by 1:1 randomization immediately during surgery. (Group 2: Active ILM peeling, Group 3: no ILM peeling) The outcomes of the three groups will be compared.