one of the dangerous complications of cataract extractions is vitreous loss. the purpose of this stuy is to evaluate the incidence of vitreous loss and its sepuale while teaching residents at rasoul akram hospital in iran. this study has been conducted on existing records of 730 eyes which were subjectd to extracapsular cataract extractions by 3rd and 4th year, right handed resident of rasoul a...

AIM The survey aimed to identify the major treatable or preventable causes of visual loss in children attending blind schools in Sri Lanka so that appropriate control measures can be implemented. METHOD A total of 226 children with blindness (BL) or severe visual impairment (SVI) attending six schools for the blind were examined and details recorded using the WHO standard reporting form. RE...

AIM To investigate the examination of lens opacities in routine ophthalmic clinical practice. METHOD A questionnaire survey was mailed to 703 consultant ophthalmologists in the UK. The surgeons were asked which lens feature(s) they assessed in their clinics when deciding whether to offer cataract surgery. RESULTS 489 replies were received. A broad range of lens opacities was assessed, with ...

PURPOSE To determine changes in cataract surgical rate (CSR) in Fars Province from 2006 to 2010 and identify the contributions of public and private sectors. METHODS This descriptive report is part of the Iranian Cataract Surgery Survey. To determine the provincial CSR, weights of major (>3000 annual surgeries) and minor (≤3000) centers were calculated based on the number of centers chosen fo...

Introduction: Any opacity of lens is defined as cataract. This leads to reduced vision that is the most common cause of blindness in the world in among the elderly. There is no non-surgical treatment for cataract patients; thereby, patients have to spend a lot of money especially those residing in the undeveloped countries. It is thus necessary to be informed of predisposing factors in order to...

Abstract Cataracts are the leading cause of visual impairment and blindness globally. Over years, researchers have achieved significant progress in developing state-of-the-art machine learning techniques for automatic cataract classification grading, aiming to prevent cataracts early improve clinicians’ diagnosis efficiency. This survey provides a comprehensive recent advances classification/gr...