Development and validation of a visual field cluster in retinitis pigmentosa

Abstract The aim was to establish and evaluate a new clustering method for visual field (VF) test points to predict future VF in retinitis pigmentosa. A Humphrey Field Analyzer 10-2 test was clustered using total deviation values from 858 VFs. We stratified 68 test points into 24 sectors. Then, mean...

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Autores principales:	Takashi Omoto, Akio Oishi, Ryo Asaoka, Yuri Fujino, Hiroshi Murata, Keiko Azuma, Manabu Miyata, Ryo Obata, Tatsuya Inoue
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/de19e4e751ae4c2b86eeecf22c639559
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spelling	oai:doaj.org-article:de19e4e751ae4c2b86eeecf22c6395592021-12-02T14:29:03ZDevelopment and validation of a visual field cluster in retinitis pigmentosa10.1038/s41598-021-89233-02045-2322https://doaj.org/article/de19e4e751ae4c2b86eeecf22c6395592021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89233-0https://doaj.org/toc/2045-2322Abstract The aim was to establish and evaluate a new clustering method for visual field (VF) test points to predict future VF in retinitis pigmentosa. A Humphrey Field Analyzer 10-2 test was clustered using total deviation values from 858 VFs. We stratified 68 test points into 24 sectors. Then, mean absolute error (MAE) of the sector-wise regression with them (S1) was evaluated using 196 eyes with 10 VF sequences and compared to pointwise linear regression (PLR), mean sensitivity of total area (MS) and also another sector-wise regression basing on VF mapping for glaucoma (29 sectors; S2). MAE with S1 were smaller than with PLR when between the first-third and first-seventh VFs were used. MAE with the method were significantly smaller than those of S2 when between the first-sixth and first-ninth VFs were used. The MAE of MS was smaller than those with S1 only when first to 3rd and first to 4th VFs were used; however, the prediction accuracy became far larger than any other methods when larger number of VFs were used. More accurate prediction was achieved using this new sector-wise regression than with PLR. In addition, the obtained cluster was more useful than that for glaucoma to predict progression.Takashi OmotoAkio OishiRyo AsaokaYuri FujinoHiroshi MurataKeiko AzumaManabu MiyataRyo ObataTatsuya InoueNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Takashi Omoto Akio Oishi Ryo Asaoka Yuri Fujino Hiroshi Murata Keiko Azuma Manabu Miyata Ryo Obata Tatsuya Inoue Development and validation of a visual field cluster in retinitis pigmentosa
description	Abstract The aim was to establish and evaluate a new clustering method for visual field (VF) test points to predict future VF in retinitis pigmentosa. A Humphrey Field Analyzer 10-2 test was clustered using total deviation values from 858 VFs. We stratified 68 test points into 24 sectors. Then, mean absolute error (MAE) of the sector-wise regression with them (S1) was evaluated using 196 eyes with 10 VF sequences and compared to pointwise linear regression (PLR), mean sensitivity of total area (MS) and also another sector-wise regression basing on VF mapping for glaucoma (29 sectors; S2). MAE with S1 were smaller than with PLR when between the first-third and first-seventh VFs were used. MAE with the method were significantly smaller than those of S2 when between the first-sixth and first-ninth VFs were used. The MAE of MS was smaller than those with S1 only when first to 3rd and first to 4th VFs were used; however, the prediction accuracy became far larger than any other methods when larger number of VFs were used. More accurate prediction was achieved using this new sector-wise regression than with PLR. In addition, the obtained cluster was more useful than that for glaucoma to predict progression.
format	article
author	Takashi Omoto Akio Oishi Ryo Asaoka Yuri Fujino Hiroshi Murata Keiko Azuma Manabu Miyata Ryo Obata Tatsuya Inoue
author_facet	Takashi Omoto Akio Oishi Ryo Asaoka Yuri Fujino Hiroshi Murata Keiko Azuma Manabu Miyata Ryo Obata Tatsuya Inoue
author_sort	Takashi Omoto
title	Development and validation of a visual field cluster in retinitis pigmentosa
title_short	Development and validation of a visual field cluster in retinitis pigmentosa
title_full	Development and validation of a visual field cluster in retinitis pigmentosa
title_fullStr	Development and validation of a visual field cluster in retinitis pigmentosa
title_full_unstemmed	Development and validation of a visual field cluster in retinitis pigmentosa
title_sort	development and validation of a visual field cluster in retinitis pigmentosa
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/de19e4e751ae4c2b86eeecf22c639559
work_keys_str_mv	AT takashiomoto developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT akiooishi developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT ryoasaoka developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT yurifujino developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT hiroshimurata developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT keikoazuma developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT manabumiyata developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT ryoobata developmentandvalidationofavisualfieldclusterinretinitispigmentosa AT tatsuyainoue developmentandvalidationofavisualfieldclusterinretinitispigmentosa
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Development and validation of a visual field cluster in retinitis pigmentosa

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