scholarly journals Digitally Analyzed Conjunctival Redness: Does Repeated Conjunctival Provocation Intrinsically Cause Local Desensitization of the Eye?

2015 ◽  
Vol 168 (4) ◽  
pp. 277-284 ◽  
Author(s):  
Claas Gloistein ◽  
Anatoli Astvatsatourov ◽  
Silke Allekotte ◽  
Ralph Mösges
Keyword(s):  
2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
María Luisa Sánchez Brea ◽  
Noelia Barreira Rodríguez ◽  
Antonio Mosquera González ◽  
Katharine Evans ◽  
Hugo Pena-Verdeal

Conjunctival hyperemia or conjunctival redness is a symptom that can be associated with a broad group of ocular diseases. Its levels of severity are represented by standard photographic charts that are visually compared with the patient’s eye. This way, the hyperemia diagnosis becomes a nonrepeatable task that depends on the experience of the grader. To solve this problem, we have proposed a computer-aided methodology that comprises three main stages: the segmentation of the conjunctiva, the extraction of features in this region based on colour and the presence of blood vessels, and, finally, the transformation of these features into grading scale values by means of regression techniques. However, the conjunctival segmentation can be slightly inaccurate mainly due to illumination issues. In this work, we analyse the relevance of different features with respect to their location within the conjunctiva in order to delimit a reliable region of interest for the grading. The results show that the automatic procedure behaves like an expert using only a limited region of interest within the conjunctiva.


2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Hilal Kilinç Hekimsoy ◽  
Mehmet Ali Şekeroğlu

A 55-year-old woman with no known systemic disorder and without any history of ocular disease, trauma, and surgery presented with a nonremitting conjunctival redness on her left eye that was existing since her childhood. On ophthalmological examination, an extremely rare coexistence of isolated unilateral bulbar conjunctival telangiectasia and ipsilateral retinal vascular tortuosity without any systemic and neuroradiological association was detected. We aimed to demonstrate this rare vascular coexistence and discuss differential diagnosis of the underlying causes.


1991 ◽  
Vol 10 (1) ◽  
pp. 135-192 ◽  

Ammonium and Glyceryl Thioglycolates and Thioglycolic Acid are used predominantly in cosmetic permanent waving lotions at concentrations up to 15.4% (as Thioglycolic Acid). At use concentrations, these cosmetic ingredients are only slightly toxic in acute single oral and dermal exposures. In repeated dermal tests for extended periods of exposure, these ingredients were toxic. Commercial permanent wave products produced transient conjunctival redness to both rinsed and unrinsed eyes. The results of skin testing for irritation and sensitization of these Thioglycolates depends on the type of test system used. Under occlusive patch testing, the data indicate that these ingredients are cumulative irritants and possibly weak sensitizers, but not under semi-occlusive test conditions. In clinical patients, mainly hairdressers, Glyceryl Thioglycolate elicited allergic reactions at concentrations down to 0.25%. It is concluded that these cosmetic ingredients may be safely used at infrequent intervals. However, hairdressers should avoid skin contact.


2019 ◽  
Vol 96 (7) ◽  
pp. 507-512 ◽  
Author(s):  
Emmanuel B. Alabi ◽  
Trefford L. Simpson
Keyword(s):  

2021 ◽  
Vol 11 (7) ◽  
pp. 2978
Author(s):  
Nico Curti ◽  
Enrico Giampieri ◽  
Fabio Guaraldi ◽  
Federico Bernabei ◽  
Laura Cercenelli ◽  
...  

Purpose: Many semi-automated and fully-automated approaches have been proposed in literature to improve the objectivity of the estimation of conjunctival hyperemia, based on image processing analysis of eyes’ photographs. The purpose is to improve its evaluation using faster fully-automated systems and independent by the human subjectivity. Methods: In this work, we introduce a fully-automated analysis of the redness grading scales able to completely automatize the clinical procedure, starting from the acquired image to the redness estimation. In particular, we introduce a neural network model for the conjunctival segmentation followed by an image processing pipeline for the vessels network segmentation. From these steps, we extract some features already known in literature and whose correlation with the conjunctival redness has already been proved. Lastly, we implemented a predictive model for the conjunctival hyperemia using these features. Results: In this work, we used a dataset of images acquired during clinical practice.We trained a neural network model for the conjunctival segmentation, obtaining an average accuracy of 0.94 and a corresponding IoU score of 0.88 on a test set of images. The set of features extracted on these ROIs is able to correctly predict the Efron scale values with a Spearman’s correlation coefficient of 0.701 on a set of not previously used samples. Conclusions: The robustness of our pipeline confirms its possible usage in a clinical practice as a viable decision support system for the ophthalmologists.


2015 ◽  
Vol 14 (2) ◽  
pp. 68-72
Author(s):  
Takeshi Ide ◽  
Yoshiyuki Ichihashi ◽  
Ikuko Toda ◽  
Teruki Fukumoto ◽  
Kazuo Tsubota

We report the case of a 32-year-old male patient who presented with conjunctival redness after multiple bilateral eye-whitening surgeries. Slit-lamp examination revealed scleral melting, avascular areas, and demarcation lines in both eyes. Considering the treatment history and the clinical findings of the patient, we conclude that the removal of the conjunctiva and Tenon’s layer and use of mitomycin C is not desirable for a healthy ocular surface.


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