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New approach for the glaucoma detection with pupil perimetry

OBJECTIVE: To calculate the pattern deviation for identifying abnormal points of pupil perimetry, and also to evaluate the grayscale display for distinguishing glaucomatous pupil field loss (abnormal test points) from normal pupil field (normal test points). METHODS: Fourteen patients ranging in age...

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Autores principales: Asakawa, Ken, Shoji, Nobuyuki, Ishikawa, Hitoshi, Shimizu, Kimiya
Formato: Texto
Lenguaje:English
Publicado: Dove Medical Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909891/
https://www.ncbi.nlm.nih.gov/pubmed/20668724
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author Asakawa, Ken
Shoji, Nobuyuki
Ishikawa, Hitoshi
Shimizu, Kimiya
author_facet Asakawa, Ken
Shoji, Nobuyuki
Ishikawa, Hitoshi
Shimizu, Kimiya
author_sort Asakawa, Ken
collection PubMed
description OBJECTIVE: To calculate the pattern deviation for identifying abnormal points of pupil perimetry, and also to evaluate the grayscale display for distinguishing glaucomatous pupil field loss (abnormal test points) from normal pupil field (normal test points). METHODS: Fourteen patients ranging in age from 51 to 80 years, who had normal-tension glaucoma (6 eyes) and primary open-angle glaucoma (8 eyes) were tested. Pupil perimetry (Kowa & Hamamatsu, Japan) was used to objectively measure the visual field. Also, to obtain a subjective visual field, the analysis was performed with a Humphrey Field Analyzer (30-2, Full threshold program, Carl Zeiss Meditec, Dublin). Of the 76 test points, the 22 surrounding points and the 3 points corresponding to the blind spot are excluded; and among the remaining 51 points, the 85th percentile value of pupil perimetry was calculated. The abnormal and normal test points were recorded, and the amount of positive or negative deviation of each test point from the normal median value for the corresponding test points was determined. We also used this technique to identify the value for distinguishing glaucomatous pupil field loss from the normal pupil field. RESULTS: This study could be improved by calculating the sensitivity and specificity of a certain cut-off value between the normative data and the glaucoma patients. The value for identifying both abnormal and normal test points was a negative deviation of −4. Based on these results, pupil perimetry gray scales were determined: white (< −3), 25% gray (from −4 to −8), 50% gray (from −9 to −13), 75% gray (from −14 to −18) and black (> −19). Glaucomatous pupil field losses were generally distinguished from the normal pupil field by use of a gray scale. CONCLUSION: Our studies demonstrated that, when a deviation of > −4 was regarded as an abnormal value, the detection of pupil perimetry exhibited improvement in glaucoma patients.
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spelling pubmed-29098912010-07-28 New approach for the glaucoma detection with pupil perimetry Asakawa, Ken Shoji, Nobuyuki Ishikawa, Hitoshi Shimizu, Kimiya Clin Ophthalmol Original Research OBJECTIVE: To calculate the pattern deviation for identifying abnormal points of pupil perimetry, and also to evaluate the grayscale display for distinguishing glaucomatous pupil field loss (abnormal test points) from normal pupil field (normal test points). METHODS: Fourteen patients ranging in age from 51 to 80 years, who had normal-tension glaucoma (6 eyes) and primary open-angle glaucoma (8 eyes) were tested. Pupil perimetry (Kowa & Hamamatsu, Japan) was used to objectively measure the visual field. Also, to obtain a subjective visual field, the analysis was performed with a Humphrey Field Analyzer (30-2, Full threshold program, Carl Zeiss Meditec, Dublin). Of the 76 test points, the 22 surrounding points and the 3 points corresponding to the blind spot are excluded; and among the remaining 51 points, the 85th percentile value of pupil perimetry was calculated. The abnormal and normal test points were recorded, and the amount of positive or negative deviation of each test point from the normal median value for the corresponding test points was determined. We also used this technique to identify the value for distinguishing glaucomatous pupil field loss from the normal pupil field. RESULTS: This study could be improved by calculating the sensitivity and specificity of a certain cut-off value between the normative data and the glaucoma patients. The value for identifying both abnormal and normal test points was a negative deviation of −4. Based on these results, pupil perimetry gray scales were determined: white (< −3), 25% gray (from −4 to −8), 50% gray (from −9 to −13), 75% gray (from −14 to −18) and black (> −19). Glaucomatous pupil field losses were generally distinguished from the normal pupil field by use of a gray scale. CONCLUSION: Our studies demonstrated that, when a deviation of > −4 was regarded as an abnormal value, the detection of pupil perimetry exhibited improvement in glaucoma patients. Dove Medical Press 2010 2010-07-21 /pmc/articles/PMC2909891/ /pubmed/20668724 Text en © 2010 Asakawa 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
Asakawa, Ken
Shoji, Nobuyuki
Ishikawa, Hitoshi
Shimizu, Kimiya
New approach for the glaucoma detection with pupil perimetry
title New approach for the glaucoma detection with pupil perimetry
title_full New approach for the glaucoma detection with pupil perimetry
title_fullStr New approach for the glaucoma detection with pupil perimetry
title_full_unstemmed New approach for the glaucoma detection with pupil perimetry
title_short New approach for the glaucoma detection with pupil perimetry
title_sort new approach for the glaucoma detection with pupil perimetry
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909891/
https://www.ncbi.nlm.nih.gov/pubmed/20668724
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