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Keywords = adult vitelliform macular dystrophy

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1 pages, 134 KiB  
Correction
Correction: Srinivasan et al. Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images. Electronics 2023, 12, 862
by Saravanan Srinivasan, Rajalakshmi Nagarnaidu Rajaperumal, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Sujatha Krishnamoorthy and Seifedine Kardy
Electronics 2024, 13(9), 1627; https://doi.org/10.3390/electronics13091627 - 24 Apr 2024
Viewed by 794
Abstract
There was an error in the original publication [...] Full article
14 pages, 932 KiB  
Concept Paper
Detection and Grade Classification of Diabetic Retinopathy and Adult Vitelliform Macular Dystrophy Based on Ophthalmoscopy Images
by Saravanan Srinivasan, Rajalakshmi Nagarnaidu Rajaperumal, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Sujatha Krishnamoorthy and Seifedine Kardy
Electronics 2023, 12(4), 862; https://doi.org/10.3390/electronics12040862 - 8 Feb 2023
Cited by 9 | Viewed by 2676 | Correction
Abstract
Diabetic retinopathy (DR) and adult vitelliform macular dystrophy (AVMD) may cause significant vision impairment or blindness. Prompt diagnosis is essential for patient health. Photographic ophthalmoscopy checks retinal health quickly, painlessly, and easily. It is a frequent eye test. Ophthalmoscopy images of these two [...] Read more.
Diabetic retinopathy (DR) and adult vitelliform macular dystrophy (AVMD) may cause significant vision impairment or blindness. Prompt diagnosis is essential for patient health. Photographic ophthalmoscopy checks retinal health quickly, painlessly, and easily. It is a frequent eye test. Ophthalmoscopy images of these two illnesses are challenging to analyse since early indications are typically absent. We propose a deep learning strategy called ActiveLearn to address these concerns. This approach relies heavily on the ActiveLearn Transformer as its central structure. Furthermore, transfer learning strategies that are able to strengthen the low-level features of the model and data augmentation strategies to balance the data are incorporated owing to the peculiarities of medical pictures, such as their limited quantity and generally rigid structure. On the benchmark dataset, the suggested technique is shown to perform better than state-of-the-art methods in both binary and multiclass accuracy classification tasks with scores of 97.9% and 97.1%, respectively. Full article
(This article belongs to the Special Issue Explainable Artificial Intelligence (XAI) for Healthcare Analytics)
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9 pages, 2240 KiB  
Article
Choroidal Vascularity Index in Adult-Onset Foveomacular Vitelliform Dystrophy: A Pilot Study
by Solmaz Abdolrahimzadeh, Serena Fragiotta, Chiara Ciacimino, Mariachiara Di Pippo and Gianluca Scuderi
Appl. Sci. 2021, 11(21), 10487; https://doi.org/10.3390/app112110487 - 8 Nov 2021
Cited by 7 | Viewed by 3892
Abstract
This pilot study aims to investigate choroidal vascular status in eyes with adult-onset foveomacular vitelliform dystrophy (AOFVD), early age-related macular degeneration (AMD), and age-matched controls. In this retrospective study, choroidal thickness (CT) was measured manually using spectral domain optical coherence tomography images of [...] Read more.
This pilot study aims to investigate choroidal vascular status in eyes with adult-onset foveomacular vitelliform dystrophy (AOFVD), early age-related macular degeneration (AMD), and age-matched controls. In this retrospective study, choroidal thickness (CT) was measured manually using spectral domain optical coherence tomography images of the fovea, and 500 and 1500 µm from the nasal and temporal regions in the fovea. The horizontal B-scan was imported into Fiji software. Choroidal vascularity index (CVI) and luminal and stromal areas were calculated. A total of 36 eyes from 36 patients, including 18 eyes with AOFVD and 18 eyes with CD, and 16 eyes of healthy subjects were included. CVI was significantly different among subgroups (ANOVA, p = 0.004). Eyes with AOFVD presented a higher CVI (+0.03 ± 0.01, p = 0.001) than eyes with CD and controls (p = 0.03). No differences in CVI were detected between controls and eyes with CD (p = 0.25). AOFVD eyes accounted for the greatest luminal area, particularly significant in comparison with healthy controls (+0.27 ± 0.11, p = 0.02). AOFVD eyes present a greater CVI than eyes with CD and controls. The major choroidal involvement is on the luminal component, further corroborating a possible role of the choroidal vasculature in the pathological manifestations of AOFVD disease. Full article
(This article belongs to the Special Issue Optical Coherence Tomography: From OCT-A to All Latest Advances)
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24 pages, 6053 KiB  
Article
PRPH2-Related Retinal Diseases: Broadening the Clinical Spectrum and Describing a New Mutation
by Rosa M. Coco-Martin, Hortensia T. Sanchez-Tocino, Carmen Desco, Ricardo Usategui-Martín and Juan J. Tellería
Genes 2020, 11(7), 773; https://doi.org/10.3390/genes11070773 - 9 Jul 2020
Cited by 23 | Viewed by 5678
Abstract
Over 175 pathogenic mutations in the Peripherin-2 (PRPH2) gene are linked to various retinal diseases. We report the phenotype and genotype of eight families (24 patients) with retinal diseases associated with seven distinct PRPH2 gene mutations. We identified a new mutation, c.824_828+3delinsCATTTGGGCTCCTCATTTGG, [...] Read more.
Over 175 pathogenic mutations in the Peripherin-2 (PRPH2) gene are linked to various retinal diseases. We report the phenotype and genotype of eight families (24 patients) with retinal diseases associated with seven distinct PRPH2 gene mutations. We identified a new mutation, c.824_828+3delinsCATTTGGGCTCCTCATTTGG, in a patient with adult-onset vitelliform macular dystrophy (AVMD). One family with the p.Arg46Ter mutation presented with the already described AVMD phenotype, but another family presented with the same mutation and two heterozygous pathogenic mutations (p.Leu2027Phe and p.Gly1977Ser) in the ATP Binding Cassette Subfamily A Member 4 (ABCA4) gene that cause extensive chorioretinal atrophy (ECA), which could be a blended phenotype. The p.Lys154del PRPH2 gene mutation associated with the p.Arg2030Glu mutation in the ABCA4 gene was found in a patient with multifocal pattern dystrophy simulating fundus flavimaculatus (PDsFF), for whom we considered ABCA4 as a possible modifying gene. The mutation p.Gly167Ser was already known to cause pattern dystrophy, but we also found ECA, PDsFF, and autosomal-dominant retinitis pigmentosa (ADRP) as possible phenotypes. Finally, we identified the mutation p.Arg195Leu in a large family with common ancestry, which previously was described to cause central areolar choroidal dystrophy (CACD), but we also found ADRP and observed that it caused ECA more frequently than CACD in this family. Full article
(This article belongs to the Special Issue Molecular Genetics of Retinal Dystrophies)
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