View clinical trials related to Angle Closure Glaucoma.
Filter by:comparing different types of cuclophotocoagulation with cataract extraction to cataract extraction and goniocynechiolysis in cases of chronic angle closure glaucoma
Increases in the aging population has resulted in increased demand for glaucoma services. Glaucoma is a disease that if untreated, can lead to blindness. This increase and need for long term treatment with monitoring have resulted in a significant demand in the hospital eye service (HES). Many departments are now facing a considerable backlog of outpatient appointments and it's essential that these appointments are reserved for patients who are at risk of glaucoma blindness. Primary angle closure (PAC) glaucoma is a type of glaucoma, where the drainage route for the fluid inside the eye (known as the angle) is narrowed or blocked. It has been recently identified that approximately half of patients referred into the HES for a suspect narrow angle for further investigation are healthy and are immediately discharged. The exact reasons for these findings are unknown. This project will investigate clinical decisions by community optometrists who account for the majority of PAC referrals into the HES, as well as assessing their ability to evaluate those at risk of PAC. This project will also examine whether clinical agreement could be improved by providing an educational package. A clinical image database of angles will be acquired from glaucoma patients attending Moorfields Eye Hospital. A learning package discussing angle closure referral will also be developed. Community optometrists will be invited to complete a questionnaire on their clinical decision making. This will be followed by the vignette assessment, learning package and re-assessment. If this educational package and/or any other identifiers are found to improve agreement levels, this could reduce the number of referrals and enable community monitoring of those at low risk of developing PAC glaucoma in their lifetime.
Primary angle closure diseases (PACD) are commonly seen in Asia. In clinical practice, gonioscopy is the gold standard for angle width classification in PACD patietns. However, gonioscopy is a contact examination and needs a long learning curve. Anterior segment optical coherence tomography (AS-OCT) is a non-contact test which can obtain three dimensional images of the anterior segment within seconds. Therefore, the investigators designed the study to verify if AS-OCT based deep learning algorithm is able to detect the PACD subjects diagnosed by gonioscopy.