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Purpose: To employ a validated survey for evaluation of quality of life (QoL) outcomes and associated factors in a US cohort of adult patients with acquired anophthalmia wearing a prosthesis.
Methods: A retrospective cohort study was performed at a single, US academic institution of patients cared for between 2012 and 2021. The electronic medical record database was queried for adult patients with a history of evisceration or enucleation surgery and placement of an orbital implant. Identified patients were asked to anonymously complete a validated QoL questionnaire from which the Global Ocular Prosthesis Score was assessed. Summary statistics were reported, and analysis of variance was used to determine surgical and demographic factors associated with QoL survey scores.
Results: A total of 81 patients completed the questionnaire. Mean age was 45.8 years (range: 18-96 years), and 54.3% of patients identified as women. Enucleation was performed in 81.4% of eyes (n = 66), while the remaining 17.3% underwent evisceration (n = 14). The mean and median Global Ocular Prosthesis Score (out of 100) were 67.51 and 68.00, respectively. Multivariate analysis demonstrated the etiologies of glaucoma (95% confidence interval: 0.84-25.40, p = 0.04) and endophthalmitis (95% confidence interval: 0.41-23.72, p = 0.04) to be significantly associated with higher total Global Ocular Prosthesis Score. Several other factors including employment status, etiology of anophthalmia, gender, and level of education were also significantly associated with subdomain scores ( p < 0.05).
Conclusions: Among patients with anophthalmia wearing an ocular prosthesis, the etiology of anophthalmia was significantly associated with the Global Ocular Prosthesis Score. Employment status, etiology of anophthalmia, gender, and level of education were also observed to have statistically significant associations with subdomain scores. Knowledge of these factors moving forward may help the surgeon manage expectations, mitigate challenges, and promote higher QoL outcomes for patients with acquired anophthalmia.
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http://dx.doi.org/10.1097/IOP.0000000000002722 | DOI Listing |
Alzheimers Dement
September 2025
Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Cognitive impairment and dementia, including Alzheimer's disease (AD), pose a global health crisis, necessitating non-invasive biomarkers for early detection. This review highlights the retina, an accessible extension of the central nervous system (CNS), as a window to cerebral pathology through structural, functional, and molecular alterations. By synthesizing interdisciplinary evidence, we identify retinal biomarkers as promising tools for early diagnosis and risk stratification.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
AJNR Am J Neuroradiol
September 2025
From the Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America (J.S.S., B.M., S.H., A.H., J.S.), and Department of Aerospace Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India (H.S.).
Background And Purpose: The choroid of the eye is a rare site for metastatic tumor spread, and as small lesions on the periphery of brain MRI studies, these choroidal metastases are often missed. To improve their detection, we aimed to use artificial intelligence to distinguish between brain MRI scans containing normal orbits and choroidal metastases.
Materials And Methods: We present a novel hierarchical deep learning framework for sequential cropping and classification on brain MRI images to detect choroidal metastases.
Retina
September 2025
Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 15, CH-3010.
Purpose: To evaluate inter-grader variability in posterior vitreous detachment (PVD) classification in patients with epiretinal membrane (ERM) and macular hole (MH) on spectral-domain optical coherence tomography (SD-OCT) and identify challenges in defining a reliable ground truth for artificial intelligence (AI)-based tools.
Methods: A total of 437 horizontal SD-OCT B-scans were retrospectively selected and independently annotated by six experienced ophthalmologists adopting four categories: 'full PVD', 'partial PVD', 'no PVD', and 'ungradable'. Inter-grader agreement was assessed using pairwise Cohen's kappa scores.