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Introduction: Onchocerciasis is the world's second leading cause of infectious blindness and remains a major problem in parts of Africa. In light of the efforts targeted towards improving ongoing elimination program, this study assessed onchocerca-induced visual impairments in Gashaka local government areas (LGA) in Taraba State, north-eastern Nigeria.
Methods: In 2019, we recruited 158 consenting visually impaired persons across three communities in Garbabi ward of Gashaka LGA. To avoid confusion with co-endemic trachoma, the integrity of the tarsal conjunctiva, eyelashes were assessed using direct light. The anterior segment of the eye was also examined using a torchlight with oblique illumination. However, the posterior segment of the eye was assessed using a fundus camera. Two photographic images for the left and right eye of each participant were captured using the clinical fundus camera. The photographic eye images that were too dark were discarded, and only clear images were analyzed by two ophthalmologists. An ocular manifestation report was recorded for each participant following consensus between the ophthalmologists.
Results: Of the 316 photographic eye images, almost half 146 (46.2%) from 73 participants were just too destroyed for light to penetrate and was not included in the analysis. Only 170 from 85 participants were clear and examinable. A total of 33 (39%) participants had chorioretinitis suggestive of onchocerciasis, including 22(25.9%) with chorio-retinal atrophy, 7(8.2%) and 4(4.7%) had chorioretinal atrophy in combination with early cataract and signs of trachoma respectively. In addition, 3(3.5%) of the participant had eye images which showed lens opacities, 1(1.2%) showed signs of keratoconus and 1(1.2%) showed a scared and pigmented cornea, possibly due to onchocerciasis. Furthermore, 28 (32.9%) had some ill-defined changes and 19 (22.4%) showed poorly defined chorio-retinal atrophy.
Conclusion: In a bid to sustain MDA gains towards elimination of onchocerciasis, this work highlights the need for continuous assessment of onchocerciasis induced visual impairment, strengthening of ivermectin delivery and optimizing compliance and patient care among affected populations. These would require resource acquisition and local capacity building. Our preliminary findings call for further operational research on ocular morbidity as well as future stakeholders' consultations in this important and understudied area.
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http://dx.doi.org/10.1016/j.parepi.2023.e00296 | DOI Listing |
Entropy (Basel)
August 2025
College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Retinal vessel segmentation plays a crucial role in diagnosing various retinal and cardiovascular diseases and serves as a foundation for computer-aided diagnostic systems. Blood vessels in color retinal fundus images, captured using fundus cameras, are often affected by illumination variations and noise, making it difficult to preserve vascular integrity and posing a significant challenge for vessel segmentation. In this paper, we propose HM-Mamba, a novel hierarchical multi-scale Mamba-based architecture that incorporates tubular structure-aware convolution to extract both local and global vascular features for retinal vessel segmentation.
View Article and Find Full Text PDFOphthalmol Retina
August 2025
Department of Ophthalmology, Affiliated Changshu Hospital of Nantong University, Changshu City, Jiangsu Province, China.
J Ophthalmic Inflamm Infect
August 2025
Department of Ophthalmology, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan.
Background: Vogt-Koyanagi-Harada (VKH) disease affects visual function, but the recovery process of color vision remains incompletely understood. This study aimed to assess color vision recovery in VKH using cone contrast testing and explore its relationship with cone cell density measured using adaptive optics imaging.
Methods: Twenty-two eyes of 11 patients with VKH were evaluated at baseline (serous retinal detachment resolution) and at 3, 6, and 12 months post-treatment.
Ophthalmology
August 2025
Department of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia, USA; Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA. Electronic address:
Objective: To compare our institution's emergency department and inpatient neuro-ophthalmology consultation patterns from 2024 (after implementation of non-mydriatic ocular imaging in our general emergency department) to the 494 neuro-ophthalmology consultations seen in 2022 (prior to implementation of the camera).
Design: Prospective observational study SUBJECTS: Consecutive patients seen as emergency department or inpatient neuro-ophthalmology consultations at a single large urban academic medical center.
Methods: Systematic collection of consecutive emergency department and inpatient neuro-ophthalmology consultations at one academic center in 2024 and comparison of results with data prospectively obtained during year 2022.
Br J Ophthalmol
August 2025
Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia
Purpose: To investigate the diagnostic accuracy, feasibility and end-user experiences of an artificial intelligence (AI)-based, automated diabetic retinopathy (DR) screening model in real-world, Australian primary care and endocrinology clinics.
Methods: In a pragmatic trial conducted across five sites including general practice and endocrinology clinics, from August 2021 to June 2023, patients aged ≥50 years, and those aged ≥18 years with diabetes were screened using an AI-integrated, non-mydriatic fundus camera. The AI instantly analysed the retinal images for referable DR.