Literature DB >> 24055901

Assessment of signs of anterior blepharitis using standardized color photographs.

Vatinee Y Bunya1, David H Brainard, Ebenezer Daniel, Mina Massaro-Giordano, William Nyberg, Elizabeth A Windsor, Denise J Pearson, Jiayan Huang, Maureen G Maguire, Richard A Stone.   

Abstract

PURPOSE: To describe a standardized technique for acquiring and viewing photographic images of eyelids, assess the reproducibility and validity of a grading protocol for signs of anterior blepharitis, and to explore whether the signs depend on the eyelid or the area of the eyelid assessed.
METHODS: Subjects with anterior blepharitis ranging from none to severe were examined by ophthalmologists at clinical sites. Digital images of the eyelids of subjects were acquired using a protocol that allowed for the calibration of color and luminance. Three ophthalmologists at a centralized reading center applied a novel protocol for grading features of anterior blepharitis from the digital images viewed on color-calibrated monitors. The agreement among graders was assessed using percent agreement and weighted kappa statistics (Kw), and the correlation of photographic and clinical gradings was assessed using Spearman correlation coefficients.
RESULTS: Agreement among graders was excellent (Kw > 0.80) on the number of eyelid margin vessels and was substantial (Kw between 0.61 and 0.80) for erythema, collarettes, number of engorged vessels, and number of lashes. Grading of the photographic images and the clinical assessments of erythema and lid debris were moderately correlated (r = 0.27-0.45). The grades for different features depended on whether the upper or lower eyelid, eyelid skin or lid margin, and central or lateral lid were assessed.
CONCLUSIONS: The application of a protocol to obtain and display calibrated digital images of eyelids supports the standardized assessment of anterior blepharitis in clinical care and research studies.

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Year:  2013        PMID: 24055901      PMCID: PMC3947496          DOI: 10.1097/ICO.0b013e3182a02e0e

Source DB:  PubMed          Journal:  Cornea        ISSN: 0277-3740            Impact factor:   2.651


  11 in total

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Journal:  Am J Ophthalmol       Date:  2005-10       Impact factor: 5.258

2.  Image capture: simulation of sensor responses from hyperspectral images.

Authors:  P L Vora; J E Farrell; J D Tietz; D H Brainard
Journal:  IEEE Trans Image Process       Date:  2001       Impact factor: 10.856

3.  The Wisconsin age-related maculopathy grading system.

Authors:  R Klein; M D Davis; Y L Magli; P Segal; B E Klein; L Hubbard
Journal:  Ophthalmology       Date:  1991-07       Impact factor: 12.079

Review 4.  The international workshop on meibomian gland dysfunction: report of the definition and classification subcommittee.

Authors:  J Daniel Nelson; Jun Shimazaki; Jose M Benitez-del-Castillo; Jennifer P Craig; James P McCulley; Seika Den; Gary N Foulks
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-30       Impact factor: 4.799

5.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

6.  Validation of a photographic vitreous haze grading technique for clinical trials in uveitis.

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7.  Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group.

Authors: 
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Review 10.  An international classification and grading system for age-related maculopathy and age-related macular degeneration. The International ARM Epidemiological Study Group.

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3.  Use of Crossed Polarizers to Enhance Images of the Eyelids.

Authors:  Ryan OʼSullivan; Lisa M Tom; Vatinee Y Bunya; William C Nyberg; Mina Massaro-Giordano; Ebenezer Daniel; Eli Smith; David H Brainard; James Gee; Maureen G Maguire; Richard A Stone
Journal:  Cornea       Date:  2017-05       Impact factor: 2.651

4.  Accurate device-independent colorimetric measurements using smartphones.

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