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Evaluating Changes in Ocular Redness Using a Novel Automated Method

PURPOSE: To evaluate interobserver concordance in measured ocular redness among a group of raters using an objective computer-assisted method (ocular redness index [ORI]) and a group of clinicians using an ordinal comparative scale. METHODS: We conducted a prospective study to evaluate ocular rednes...

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Autores principales: Amparo, Francisco, Yin, Jia, Di Zazzo, Antonio, Abud, Tulio, Jurkunas, Ula V., Hamrah, Pedram, Dana, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518978/
https://www.ncbi.nlm.nih.gov/pubmed/28736686
http://dx.doi.org/10.1167/tvst.6.4.13
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author Amparo, Francisco
Yin, Jia
Di Zazzo, Antonio
Abud, Tulio
Jurkunas, Ula V.
Hamrah, Pedram
Dana, Reza
author_facet Amparo, Francisco
Yin, Jia
Di Zazzo, Antonio
Abud, Tulio
Jurkunas, Ula V.
Hamrah, Pedram
Dana, Reza
author_sort Amparo, Francisco
collection PubMed
description PURPOSE: To evaluate interobserver concordance in measured ocular redness among a group of raters using an objective computer-assisted method (ocular redness index [ORI]) and a group of clinicians using an ordinal comparative scale. METHODS: We conducted a prospective study to evaluate ocular redness in clinical photographs of 12 patients undergoing pterygium surgery. Photographs were acquired preoperatively, and at 1 week and 1 month postoperatively. One group of clinicians graded conjunctival redness in the photographs using an image-based comparative scale. A second group applied the ORI to measure redness in the same photographs. We evaluated redness change between time points, level of agreement among raters, and assessed redness score differences among observers within each group. RESULTS: Interobserver agreement using the image-based redness scale was 0.458 (P < 0.001). Interobserver agreement with the ORI was 0.997 (P < 0.001). We observed statistically significant differences among clinicians' measurements obtained with the image-based redness scale (P < 0.001). There were no significant differences among measurements obtained with the ORI (P = 0.27). We observed a significant change in redness between baseline and follow-up visits with all scoring methods. Detailed analysis of redness change was performed only in the ORI group due to availability of continuous scores. CONCLUSION: Our findings suggest that the ORI scores provide higher consistency among raters than ordinal scales, and can discriminate redness changes that clinical observers often can miss. TRANSLATIONAL RELEVANCE: The ORI may be a reliable alternative to measure ocular redness objectively in the clinic and in clinical trials.
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spelling pubmed-55189782017-07-21 Evaluating Changes in Ocular Redness Using a Novel Automated Method Amparo, Francisco Yin, Jia Di Zazzo, Antonio Abud, Tulio Jurkunas, Ula V. Hamrah, Pedram Dana, Reza Transl Vis Sci Technol Articles PURPOSE: To evaluate interobserver concordance in measured ocular redness among a group of raters using an objective computer-assisted method (ocular redness index [ORI]) and a group of clinicians using an ordinal comparative scale. METHODS: We conducted a prospective study to evaluate ocular redness in clinical photographs of 12 patients undergoing pterygium surgery. Photographs were acquired preoperatively, and at 1 week and 1 month postoperatively. One group of clinicians graded conjunctival redness in the photographs using an image-based comparative scale. A second group applied the ORI to measure redness in the same photographs. We evaluated redness change between time points, level of agreement among raters, and assessed redness score differences among observers within each group. RESULTS: Interobserver agreement using the image-based redness scale was 0.458 (P < 0.001). Interobserver agreement with the ORI was 0.997 (P < 0.001). We observed statistically significant differences among clinicians' measurements obtained with the image-based redness scale (P < 0.001). There were no significant differences among measurements obtained with the ORI (P = 0.27). We observed a significant change in redness between baseline and follow-up visits with all scoring methods. Detailed analysis of redness change was performed only in the ORI group due to availability of continuous scores. CONCLUSION: Our findings suggest that the ORI scores provide higher consistency among raters than ordinal scales, and can discriminate redness changes that clinical observers often can miss. TRANSLATIONAL RELEVANCE: The ORI may be a reliable alternative to measure ocular redness objectively in the clinic and in clinical trials. The Association for Research in Vision and Ophthalmology 2017-07-20 /pmc/articles/PMC5518978/ /pubmed/28736686 http://dx.doi.org/10.1167/tvst.6.4.13 Text en Copyright 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Articles
Amparo, Francisco
Yin, Jia
Di Zazzo, Antonio
Abud, Tulio
Jurkunas, Ula V.
Hamrah, Pedram
Dana, Reza
Evaluating Changes in Ocular Redness Using a Novel Automated Method
title Evaluating Changes in Ocular Redness Using a Novel Automated Method
title_full Evaluating Changes in Ocular Redness Using a Novel Automated Method
title_fullStr Evaluating Changes in Ocular Redness Using a Novel Automated Method
title_full_unstemmed Evaluating Changes in Ocular Redness Using a Novel Automated Method
title_short Evaluating Changes in Ocular Redness Using a Novel Automated Method
title_sort evaluating changes in ocular redness using a novel automated method
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518978/
https://www.ncbi.nlm.nih.gov/pubmed/28736686
http://dx.doi.org/10.1167/tvst.6.4.13
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