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Density of cataract and its influence on retinal nerve fibre layer thickness

The aim of this study was to further define and model the influence of cataract on spectral domain optical coherence tomography (SDOCT) image quality and retinal nerve fibre layer (RNFL) thickness measurements. OCT quality is influenced by opacities in the...

Can OCT predict Alzheimer’s disease?

Simerdip Kaur takes a look at the latest ophthalmology-related news stories and asks which are based on facts and which are ‘fake news’. Headline: Can OCT predict Alzheimer’s disease? In 1986 Hinton et al. demonstrated evidence of optic nerve degeneration...

Coming to terms with AI

A machine might be called intelligent if its response to questions could convince a person that it was human, a test proposed by Alan Turing in 1950 [1]. The author considers potential applications of artificial intelligence (AI) using machine learning...

The treachery of images – making sense of OCT imaging

In 1929 Belgian surrealist Rene Magritte produced his painting La Trahison des Images. It depicted an old fashioned pipe for smoking tobacco and underneath were the words “ceci n’est pas une pipe”, this is not a pipe. You may wonder...

Outcomes of treat & extend ranibizumab in diabetic macular oedema

This study retrospectively evaluated 118 eyes of 87 patients who received ranibizumab in a treat and extend regimen for diabetic macular oedema (DMO). Data were collected for patients under follow-up for 24 months. After 24 months, patients gained a mean...

Relating metamorphopsia severity and OCT findings in advanced epiretinal membranes

The authors present the findings of a retrospective study to correlate metamorphopsia and ectopic inner foveal layers (EIFL) or ‘central bouquet’ abnormality (CBA) in patients with advanced stages of epiretinal membrane (ERM) following the new OCT‐based grading scheme as described...

AI breakthrough brings geographic atrophy treatment a step closer

A team led by Dr Konstantinos Balaskas at Moorfields Eye Hospital Reading Centre has developed a fully automated, deep-learning model (algorithm) that can detect and quantify geographic atrophy using standard optical coherence tomography (OCT) scans.

ZEISS: Optimising Outcomes with OCT: From acquisition to advanced analysis

The course aims to equip participants with the foundational knowledge and practical skills needed to acquire and interpret Optical Coherence Tomography (OCT) images effectively and confidently. Content will be tailored to current and new users of OCT – but all...

ZEISS: Optimising Outcomes with OCT: From acquisition to advanced analysis. 2nd date

The course aims to equip participants with the foundational knowledge and practical skills needed to acquire and interpret Optical Coherence Tomography (OCT) images effectively and confidently. Content will be tailored to current and new users of OCT – but all...

GREG: Optical Coherence Tomography (OCT) Qualifications – March 2025 cohort application deadline

Gloucestershire Research & Education Group in Partnership with the University of Gloucestershire are pleased to provide both the Cert HE in OCT Capture and the Uni Dip in OCT Interpretation. The deadline for the March 2025 cohort applications is 24th January 2025. These qualifications have been designed to meet the needs of routine operators of OCT equipment and interpreters of OCT scans. For further information visit www.gregcourses.com

The history, evolution and future of optical coherence tomography

OCT has made it possible to capture a detailed 3D image of the retina, revolutionising ophthalmic diagnostics and optometric practice. Professor Fujimoto, inventor of OCT, visits us from MIT to speak on the transformative impact of OCT and its future role in AI diagnostics, vision and wider healthcare.

Eye scans detect signs of Parkinson’s disease up to seven years before diagnosis

A team led by Siegfried Wagner and Pearse Keane of Moorfields Eye Hospital and UCL Institute of Ophthalmology (and spanning UCL institutions) has identified markers that indicate the presence of Parkinson’s disease in patients on average seven years before clinical presentation.