Outcomes of anti-VEGF treatment for macular edema secondary to central retinal vein occlusion in patients with poor baseline visual acuity.

Objective: To report the visual outcomes of intravitreal anti-vascular endothelial growth factor (anti-VEGF) treatment for macular edema secondary to central retinal vein occlusion (CRVO) in patients with baseline visual acuity of ≤23 ETDRS letters vision.

Design: Retrospective observational cohort study.

Methods: This is a single-institution study.

Choroidal Involvement in a Case of Viral Retinitis.

Purpose: To describe a challenging case of acute retinal necrosis.

Methods: Clinical data, including medical history, clinical findings and imaging features were retrospectively collected in a 28-year-old female with unilateral active retinitis.

Results: The yellowish area of retinitis surrounding a pigmented chorioretinal scar and the full thickness retinal hyper-reflectivity associated with diffuse increase in choroidal demonstrated a challenging case of necrotising retinitis, where baseline clinical and tomographic features were atypical and misleading towards a toxoplasmic aetiology.

The Diagnostic Accuracy of Double-Layer Sign in Detection of Macular Neovascularization Secondary to Central Serous Chorioretinopathy.

Purpose: To investigate the diagnostic value of elevated retinal pigment epithelium (RPE) and double-layer sign (DLS) in identifying macular neovascularization (MNV) secondary to central serous chorioretinopathy (CSCR).

Design: Retrospective, cross-sectional study.

Methods: Patients with CSCR underwent optical coherence tomography (OCT) and OCT angiography (OCT-A) scanning at Moorfields Eye Hospital.

Deep learning for gradability classification of handheld, non-mydriatic retinal images.

Screening effectively identifies patients at risk of sight-threatening diabetic retinopathy (STDR) when retinal images are captured through dilated pupils. Pharmacological mydriasis is not logistically feasible in non-clinical, community DR screening, where acquiring gradable retinal images using handheld devices exhibits high technical failure rates, reducing STDR detection. Deep learning (DL) based gradability predictions at acquisition could prompt device operators to recapture insufficient quality images, increasing gradable image proportions and consequently STDR detection.

Functional clinical endpoints and their correlations in eyes with AMD with and without subretinal drusenoid deposits-a pilot study.

Purpose: To evaluate functional clinical endpoints and their structural correlations in AMD, with a focus on subretinal drusenoid deposits (SDD).

Methods: This prospective study enroled 50 participants (11 controls, 17 intermediate AMD (iAMD) with no SDD, 11 iAMD with SDD and 11 non-foveal atrophic AMD). Participants underwent best-corrected visual acuity (BCVA), low luminance visual acuity (LLVA), low luminance questionnaire (LLQ), scotopic thresholds, rod-intercept time (RIT), photopic flicker electroretinograms and multimodal imaging.

Inter-rater reliability for diagnosis of geographic atrophy using spectral domain OCT in age-related macular degeneration.

Purpose: To evaluate the inter-rater reliability for identification of complete retinal pigment epithelium and outer retinal atrophy (cRORA) on SD-OCT images as defined by the Classification of Atrophy Meetings (CAM) group.

Methods: Fifty images of anonymized SD-OCT line scans of eyes with cRORA due to AMD were selected. Each .

Predictors of Visual Acuity Outcomes after Anti-Vascular Endothelial Growth Factor Treatment for Macular Edema Secondary to Central Retinal Vein Occlusion.

Purpose: To evaluate whether baseline demographic, clinical, and OCT characteristics predict visual acuity (VA) outcomes in patients receiving anti-vascular endothelial growth factor (VEGF) therapy for macular edema (ME) due to central retinal vein occlusion (CRVO).

Design: Post hoc analysis of the randomized noninferiority trial (Lucentis, Eylea, Avastin in CRVO) LEAVO Study from December 12, 2014, to December 16, 2016, carried out across 44 UK National Health Service ophthalmology departments.

Participants: Data on 267 participants with a baseline best-corrected mean visual acuity (BCVA) range of 19 to 78 Early Treatment Diabetic Retinopathy Study letter score (approximate Snellen equivalent, 20/32 to 20/320) who had central subfield thickness (CST) ≥ 320 μm on Spectralis OCT (Heidelberg Engineering) were analyzed.

Deep Learning-Based Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography.

Reliable outcome measures are required for clinical trials investigating novel agents for preventing progression of capillary non-perfusion (CNP) in retinal vascular diseases. Currently, accurate quantification of topographical distribution of CNP on ultrawide field fluorescein angiography (UWF-FA) by retinal experts is subjective and lack standardisation. A U-net style network was trained to extract a dense segmentation of CNP from a newly created dataset of 75 UWF-FA images.

Impact of injection frequency on 5-year real-world visual acuity outcomes of aflibercept therapy for neovascular age-related macular degeneration.

Background: To evaluate the impact of injection frequency on yearly visual outcomes of patients treated with intravitreal aflibercept for neovascular age-related macular degeneration (nAMD) over a period of 5 years in a tertiary ophthalmic centre.

Design: Single centre, retrospective cohort study.

Participants: Consecutive treatment-naive nAMD patients initiated on aflibercept injections 5 years ago.