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Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma
PURPOSE: The purpose of this study was to create a vision-related quality of life (VRQoL) prediction system to identify visual field (VF) test points associated with decreased VRQoL in patients with glaucoma. METHOD: VRQoL score was surveyed in 164 patients with glaucoma using the ‘Sumi questionnair...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592814/ https://www.ncbi.nlm.nih.gov/pubmed/23520528 http://dx.doi.org/10.1371/journal.pone.0058695 |
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author | Murata, Hiroshi Hirasawa, Hiroyo Aoyama, Yuka Sugisaki, Kenji Araie, Makoto Mayama, Chihiro Aihara, Makoto Asaoka, Ryo |
author_facet | Murata, Hiroshi Hirasawa, Hiroyo Aoyama, Yuka Sugisaki, Kenji Araie, Makoto Mayama, Chihiro Aihara, Makoto Asaoka, Ryo |
author_sort | Murata, Hiroshi |
collection | PubMed |
description | PURPOSE: The purpose of this study was to create a vision-related quality of life (VRQoL) prediction system to identify visual field (VF) test points associated with decreased VRQoL in patients with glaucoma. METHOD: VRQoL score was surveyed in 164 patients with glaucoma using the ‘Sumi questionnaire’. A binocular VF was created from monocular VFs by using the integrated VF (IVF) method. VRQoL score was predicted using the ‘Random Forest’ method, based on visual acuity (VA) of better and worse eyes (better-eye and worse-eye VA) and total deviation (TD) values from the IVF. For comparison, VRQoL scores were regressed (linear regression) against: (i) mean of TD (IVF MD); (ii) better-eye VA; (iii) worse-eye VA; and (iv) IVF MD and better- and worse-eye VAs. The rank of importance of IVF test points was identified using the Random Forest method. RESULTS: The root mean of squared prediction error associated with the Random Forest method (0.30 to 1.97) was significantly smaller than those with linear regression models (0.34 to 3.38, p<0.05, ten-fold cross validation test). Worse-eye VA was the most important variable in all VRQoL tasks. In general, important VF test points were concentrated along the horizontal meridian. Particular areas of the IVF were important for different tasks: peripheral superior and inferior areas in the left hemifield for the ‘letters and sentences’ task, peripheral, mid-peripheral and para-central inferior regions for the ‘walking’ task, the peripheral superior region for the ‘going out’ task, and a broad scattered area across the IVF for the ‘dining’ task. CONCLUSION: The VRQoL prediction model with the Random Forest method enables clinicians to better understand patients’ VRQoL based on standard clinical measurements of VA and VF. |
format | Online Article Text |
id | pubmed-3592814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35928142013-03-21 Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma Murata, Hiroshi Hirasawa, Hiroyo Aoyama, Yuka Sugisaki, Kenji Araie, Makoto Mayama, Chihiro Aihara, Makoto Asaoka, Ryo PLoS One Research Article PURPOSE: The purpose of this study was to create a vision-related quality of life (VRQoL) prediction system to identify visual field (VF) test points associated with decreased VRQoL in patients with glaucoma. METHOD: VRQoL score was surveyed in 164 patients with glaucoma using the ‘Sumi questionnaire’. A binocular VF was created from monocular VFs by using the integrated VF (IVF) method. VRQoL score was predicted using the ‘Random Forest’ method, based on visual acuity (VA) of better and worse eyes (better-eye and worse-eye VA) and total deviation (TD) values from the IVF. For comparison, VRQoL scores were regressed (linear regression) against: (i) mean of TD (IVF MD); (ii) better-eye VA; (iii) worse-eye VA; and (iv) IVF MD and better- and worse-eye VAs. The rank of importance of IVF test points was identified using the Random Forest method. RESULTS: The root mean of squared prediction error associated with the Random Forest method (0.30 to 1.97) was significantly smaller than those with linear regression models (0.34 to 3.38, p<0.05, ten-fold cross validation test). Worse-eye VA was the most important variable in all VRQoL tasks. In general, important VF test points were concentrated along the horizontal meridian. Particular areas of the IVF were important for different tasks: peripheral superior and inferior areas in the left hemifield for the ‘letters and sentences’ task, peripheral, mid-peripheral and para-central inferior regions for the ‘walking’ task, the peripheral superior region for the ‘going out’ task, and a broad scattered area across the IVF for the ‘dining’ task. CONCLUSION: The VRQoL prediction model with the Random Forest method enables clinicians to better understand patients’ VRQoL based on standard clinical measurements of VA and VF. Public Library of Science 2013-03-08 /pmc/articles/PMC3592814/ /pubmed/23520528 http://dx.doi.org/10.1371/journal.pone.0058695 Text en © 2013 Murata et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Murata, Hiroshi Hirasawa, Hiroyo Aoyama, Yuka Sugisaki, Kenji Araie, Makoto Mayama, Chihiro Aihara, Makoto Asaoka, Ryo Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma |
title | Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma |
title_full | Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma |
title_fullStr | Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma |
title_full_unstemmed | Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma |
title_short | Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma |
title_sort | identifying areas of the visual field important for quality of life in patients with glaucoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592814/ https://www.ncbi.nlm.nih.gov/pubmed/23520528 http://dx.doi.org/10.1371/journal.pone.0058695 |
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