Enucleation surgery in advanced ocular disease

2014 ◽  
pp. 122-133
Author(s):  
Daniel Gologorsky ◽  
Timothy G Murray
Keyword(s):  
Ocular Disease

Raccoon Roundworm Infection Associated with Central Nervous System Disease and Ocular Disease — Six States, 2013–2015

2016 ◽  
Vol 65 (35) ◽  
pp. 930-933 ◽  
Author(s):  
Anita D. Sircar ◽  
Francisca Abanyie ◽  
Dean Blumberg ◽  
Peter Chin-Hong ◽  
Katrina S. Coulter ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Central Nervous System Disease ◽  
Ocular Disease ◽  
Nervous System Disease ◽  
System Disease

scholarly journals Prevalence of Antimicrobial Resistant Bacteria from Conjunctival Flora in an Eye Infection Prone Breed (Saint Bernard)

Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2219
Author(s):  
George Cosmin Nadăș ◽  
Cristiana Ștefania Novac ◽  
Ioana Adriana Matei ◽  
Cosmina Maria Bouari ◽  
Zoltan Miklos Gal ◽  
...  
Keyword(s):  
Multidrug Resistant ◽  
Ocular Disease ◽  
Resistant Bacteria ◽  
Human Populations ◽  
Disease Treatment ◽  
Pseudomonas Spp ◽  
History Of ◽  
External Sources ◽  
Staphylococcus Spp ◽  
Saint Bernard

The conjunctival bacterial resident and opportunistic flora of dogs may represent a major source of dissemination of pathogens throughout the environment or to other animals and humans. Nevertheless, contamination with bacteria from external sources is common. In this context, the study of the antimicrobial resistance (AMR) pattern may represent an indicator of multidrug resistant (MDR) strains exchange. The present study was focused on a single predisposed breed—Saint Bernard. The evaluated animals were healthy, but about half had a history of ocular disease/treatment. The swabs collected from conjunctival sacs were evaluated by conventional microbiological cultivation and antimicrobial susceptibility testing (AST). The most prevalent Gram-positive was Staphylococcus spp.; regardless of the history, while Gram-negative was Pseudomonas spp.; exclusively from dogs with a history of ocular disease/treatment. Other identified genera were represented by Bacillus, Streptococcus, Trueperella, Aeromonas and Neisseria. The obtained results suggest a possible association between the presence of mixed flora and a history of ocular disease/treatment. A high AMR was generally observed (90%) in all isolates, especially for kanamycin, doxycycline, chloramphenicol and penicillin. MDR was recorded in Staphylococcus spp. and Pseudomonas spp. This result together with a well-known zoonotic potential may suggest an exchange of these strains within animal human populations and the environment.

Prevalence of ocular disease during dupilumab treatment for atopic dermatitis: a bicentric retrospective comparative cohort study

2021 ◽  
Author(s):  
Jordane Barbé ◽  
Claire Poreaux ◽  
Thomas Remen ◽  
Amélie Schoeffler ◽  
Véronique Cloché ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Cohort Study ◽  
Ocular Disease ◽  
Comparative Cohort Study

scholarly journals Retinal Blood Vessel Segmentation Using Hybrid Features and Multi-Layer Perceptron Neural Networks

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 894 ◽  
Author(s):  
Nasser Tamim ◽  
M. Elshrkawey ◽  
Gamil Abdel Azim ◽  
Hamed Nassar
Keyword(s):  
Blood Vessel ◽  
Performance Metrics ◽  
Feature Vector ◽  
Disease Diagnosis ◽  
Processing Technique ◽  
Ocular Disease ◽  
Multi Layer Perceptron ◽  
Phase Congruency ◽  
Hybrid Features ◽  
Local Intensity

Segmentation of retinal blood vessels is the first step for several computer aided-diagnosis systems (CAD), not only for ocular disease diagnosis such as diabetic retinopathy (DR) but also of non-ocular disease, such as hypertension, stroke and cardiovascular diseases. In this paper, a supervised learning-based method, using a multi-layer perceptron neural network and carefully selected vector of features, is proposed. In particular, for each pixel of a retinal fundus image, we construct a 24-D feature vector, encoding information on the local intensity, morphology transformation, principal moments of phase congruency, Hessian, and difference of Gaussian values. A post-processing technique depending on mathematical morphological operators is used to optimise the segmentation. Moreover, the selected feature vector succeeded in outfitting the symmetric features that provided the final blood vessel probability as a binary map image. The proposed method is tested on three known datasets: Digital Retinal Image for Extraction (DRIVE), Structure Analysis of the Retina (STARE), and CHASED_DB1 datasets. The experimental results, both visual and quantitative, testify to the robustness of the proposed method. This proposed method achieved 0.9607, 0.7542, and 0.9843 in DRIVE, 0.9632, 0.7806, and 0.9825 on STARE, 0.9577, 0.7585 and 0.9846 in CHASE_DB1, with respectable accuracy, sensitivity, and specificity performance metrics. Furthermore, they testify that the method is superior to seven similar state-of-the-art methods.

scholarly journals Ocular disease and driving

2016 ◽  
Vol 99 (5) ◽  
pp. 395-401 ◽  
Author(s):  
Joanne M Wood ◽  
Alex A Black
Keyword(s):  
Ocular Disease

scholarly journals Role of the retinal vascular endothelial cell in ocular disease

2013 ◽  
Vol 32 ◽  
pp. 102-180 ◽  
Author(s):  
Arpita S. Bharadwaj ◽  
Binoy Appukuttan ◽  
Phillip A. Wilmarth ◽  
Yuzhen Pan ◽  
Andrew J. Stempel ◽  
...  
Keyword(s):  
Endothelial Cell ◽  
Vascular Endothelial Cell ◽  
Ocular Disease ◽  
Vascular Endothelial ◽  
Retinal Vascular Endothelial Cell

scholarly journals Ocular Disease due to Brucellosis

1954 ◽  
Vol 38 (5) ◽  
pp. 273-278 ◽  
Author(s):  
K. D. Foggitt
Keyword(s):  
Ocular Disease
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