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Validation and verification of the OPI 2.0 System
PURPOSE: The Ocular Protection Index (OPI) 2.0 System was developed to evaluate ocular surface protection under a natural blink pattern and normal visual conditions. The OPI 2.0 System implements fully automated software algorithms which provide a real-time measurement of corneal exposure (breakup a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346187/ https://www.ncbi.nlm.nih.gov/pubmed/22570541 http://dx.doi.org/10.2147/OPTH.S29431 |
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author | Abelson, Richard Lane, Keith J Rodriguez, John Johnston, Patrick Angjeli, Endri Ousler, George Montgomery, Douglas |
author_facet | Abelson, Richard Lane, Keith J Rodriguez, John Johnston, Patrick Angjeli, Endri Ousler, George Montgomery, Douglas |
author_sort | Abelson, Richard |
collection | PubMed |
description | PURPOSE: The Ocular Protection Index (OPI) 2.0 System was developed to evaluate ocular surface protection under a natural blink pattern and normal visual conditions. The OPI 2.0 System implements fully automated software algorithms which provide a real-time measurement of corneal exposure (breakup area) for each interblink interval during a 1-minute video. Utilizing this method, the mean breakup area (MBA) and OPI 2.0 (MBA/interblink interval) were calculated and analyzed. The purpose of this study was to verify and validate the OPI 2.0 System for its ability to distinguish between dry eye and normal subjects, and to accurately identify breakup area. METHODS: In order to verify and validate the OPI 2.0 System, a series of artificial images and a series of still image frames captured during an actual clinical session using fluorescein staining videography were analyzed. Finally, a clinical validation process was completed to determine the effectiveness and clinical relevance of the OPI 2.0 System to differentiate between dry eye and normal subjects. RESULTS: Software analysis verification conducted in a set of artificially constructed images and in actual videos both saw minimal error rates. MBA and OPI 2.0 calculations were able to distinguish between the qualifying eyes of dry eye and normal subjects in a statistically significant fashion (P < 0.001 for both outcomes). As expected, dry eye subjects had a higher MBA and OPI 2.0 than normal subjects (0.232, dry eye; 0.040, normal and 0.039, dry eye; 0.006, normal, respectively). Results for the worst eyes and all qualifying analyses based on staining, forced-stare tear film breakup time, and MBA were numerically similar. CONCLUSION: The OPI 2.0 System accurately identifies the degree of breakup area on the cornea and represents an efficient, clinically relevant measurement of the pathophysiology of the ocular surface. |
format | Online Article Text |
id | pubmed-3346187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33461872012-05-08 Validation and verification of the OPI 2.0 System Abelson, Richard Lane, Keith J Rodriguez, John Johnston, Patrick Angjeli, Endri Ousler, George Montgomery, Douglas Clin Ophthalmol Original Research PURPOSE: The Ocular Protection Index (OPI) 2.0 System was developed to evaluate ocular surface protection under a natural blink pattern and normal visual conditions. The OPI 2.0 System implements fully automated software algorithms which provide a real-time measurement of corneal exposure (breakup area) for each interblink interval during a 1-minute video. Utilizing this method, the mean breakup area (MBA) and OPI 2.0 (MBA/interblink interval) were calculated and analyzed. The purpose of this study was to verify and validate the OPI 2.0 System for its ability to distinguish between dry eye and normal subjects, and to accurately identify breakup area. METHODS: In order to verify and validate the OPI 2.0 System, a series of artificial images and a series of still image frames captured during an actual clinical session using fluorescein staining videography were analyzed. Finally, a clinical validation process was completed to determine the effectiveness and clinical relevance of the OPI 2.0 System to differentiate between dry eye and normal subjects. RESULTS: Software analysis verification conducted in a set of artificially constructed images and in actual videos both saw minimal error rates. MBA and OPI 2.0 calculations were able to distinguish between the qualifying eyes of dry eye and normal subjects in a statistically significant fashion (P < 0.001 for both outcomes). As expected, dry eye subjects had a higher MBA and OPI 2.0 than normal subjects (0.232, dry eye; 0.040, normal and 0.039, dry eye; 0.006, normal, respectively). Results for the worst eyes and all qualifying analyses based on staining, forced-stare tear film breakup time, and MBA were numerically similar. CONCLUSION: The OPI 2.0 System accurately identifies the degree of breakup area on the cornea and represents an efficient, clinically relevant measurement of the pathophysiology of the ocular surface. Dove Medical Press 2012 2012-04-24 /pmc/articles/PMC3346187/ /pubmed/22570541 http://dx.doi.org/10.2147/OPTH.S29431 Text en © 2012 Abelson et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. |
spellingShingle | Original Research Abelson, Richard Lane, Keith J Rodriguez, John Johnston, Patrick Angjeli, Endri Ousler, George Montgomery, Douglas Validation and verification of the OPI 2.0 System |
title | Validation and verification of the OPI 2.0 System |
title_full | Validation and verification of the OPI 2.0 System |
title_fullStr | Validation and verification of the OPI 2.0 System |
title_full_unstemmed | Validation and verification of the OPI 2.0 System |
title_short | Validation and verification of the OPI 2.0 System |
title_sort | validation and verification of the opi 2.0 system |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346187/ https://www.ncbi.nlm.nih.gov/pubmed/22570541 http://dx.doi.org/10.2147/OPTH.S29431 |
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