Literature DB >> 10711682

Key factors in the subjective and objective assessment of conjunctival erythema.

E B Papas1.   

Abstract

PURPOSE: To establish objectively measurable characteristics of the conjunctival vasculature that correspond with the judgment of erythema by human observers.
METHODS: Color images of bulbar conjunctiva from 21 subjects were digitally analyzed to extract the following variables characteristic of the scene: vessel width (W), number of vessels (V), proportion of area occupied by vessels (PA), relative redness both in vessels (RRV) and in the whole image (RRI), red-green difference both in vessels (RGV) and in the whole image (RGI), red-blue difference both in vessels (RBV) and in the whole image (RBI), and red hue value (RHV). These data were compared with subjective judgments by a panel of seven trained observers who independently rated erythema in the same images, using a 0 to 4 scale with decimal interpolation between grades.
RESULTS: Correlation analysis indicated significant associations (P<0.05) between the mean response of the human observers and all the objective variables except RHV. Associations with the morphometric variables PA (R2 = 0.93) and V(R2 = 0.90) were markedly stronger than for the best colorimetric variable RBV (R2 = 0.62).
CONCLUSIONS: Judgments of erythema made by human observers do not rely primarily on color but can be closely approximated by a univariate, linear model involving only the proportion of the scene occupied by vessels. Under the conditions of this study, grading of erythema by trained observers can be considered to constitute measurement to at least an interval level.

Entities:  

Mesh:

Year:  2000        PMID: 10711682

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  18 in total

1.  Sensitivity and reliability of objective image analysis compared to subjective grading of bulbar hyperaemia.

Authors:  Rachael Claire Peterson; James Stuart Wolffsohn
Journal:  Br J Ophthalmol       Date:  2007-05-02       Impact factor: 4.638

2.  A new scale for the assessment of conjunctival bulbar redness.

Authors:  Ilaria Macchi; Vatinee Y Bunya; Mina Massaro-Giordano; Richard A Stone; Maureen G Maguire; Yuanjie Zheng; Min Chen; James Gee; Eli Smith; Ebenezer Daniel
Journal:  Ocul Surf       Date:  2018-06-06       Impact factor: 5.033

3.  Evaluation of regional bulbar redness using an image-based objective method.

Authors:  Wen-Juan Zhao; Fang Duan; Zhong-Ting Li; Hua-Jun Yang; Qiang Huang; Kai-Li Wu
Journal:  Int J Ophthalmol       Date:  2014-02-18       Impact factor: 1.779

4.  Automated hyperemia analysis software: reliability and reproducibility in healthy subjects.

Authors:  Tsuyoshi Yoneda; Tamaki Sumi; Ayako Takahashi; Yasuhiro Hoshikawa; Masahiko Kobayashi; Atsuki Fukushima
Journal:  Jpn J Ophthalmol       Date:  2011-12-01       Impact factor: 2.447

5.  Incremental nature of anterior eye grading scales determined by objective image analysis.

Authors:  J S Wolffsohn
Journal:  Br J Ophthalmol       Date:  2004-11       Impact factor: 4.638

6.  The Ocular Redness Index: a novel automated method for measuring ocular injection.

Authors:  Francisco Amparo; Haobing Wang; Parisa Emami-Naeini; Parisa Karimian; Reza Dana
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-07-18       Impact factor: 4.799

7.  An Automated Grading and Diagnosis System for Evaluation of Dry Eye Syndrome.

Authors:  Ayşe Bağbaba; Baha Şen; Dursun Delen; Betül Seher Uysal
Journal:  J Med Syst       Date:  2018-10-08       Impact factor: 4.460

8.  Validation of Computerized Quantification of Ocular Redness.

Authors:  Ekaterina Sirazitdinova; Marlies Gijs; Christian J F Bertens; Tos T J M Berendschot; Rudy M M A Nuijts; Thomas M Deserno
Journal:  Transl Vis Sci Technol       Date:  2019-12-12       Impact factor: 3.283

9.  Automated grading system for evaluation of ocular redness associated with dry eye.

Authors:  John D Rodriguez; Patrick R Johnston; George W Ousler; Lisa M Smith; Mark B Abelson
Journal:  Clin Ophthalmol       Date:  2013-06-20

Review 10.  A Review of Imaging Biomarkers of the Ocular Surface.

Authors:  William W Binotti; Betul Bayraktutar; M Cuneyt Ozmen; Stephanie M Cox; Pedram Hamrah
Journal:  Eye Contact Lens       Date:  2020-03       Impact factor: 3.152

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