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Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation

PURPOSE: To develop and validate a risk score assessable in real-time using only retinal thickness-related values measured by spectral domain optical coherence tomography alone for use in population-based glaucoma mass screenings. METHODS: A total of 7572 participants (aged 35–74 years) underwent sp...

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Autores principales: Fukai, Kota, Terauchi, Ryo, Noro, Takahiko, Ogawa, Shumpei, Watanabe, Tomoyuki, Nakagawa, Toru, Honda, Toru, Watanabe, Yuya, Furuya, Yuko, Hayashi, Takeshi, Tatemichi, Masayuki, Nakano, Tadashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366724/
https://www.ncbi.nlm.nih.gov/pubmed/35938880
http://dx.doi.org/10.1167/tvst.11.8.8
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author Fukai, Kota
Terauchi, Ryo
Noro, Takahiko
Ogawa, Shumpei
Watanabe, Tomoyuki
Nakagawa, Toru
Honda, Toru
Watanabe, Yuya
Furuya, Yuko
Hayashi, Takeshi
Tatemichi, Masayuki
Nakano, Tadashi
author_facet Fukai, Kota
Terauchi, Ryo
Noro, Takahiko
Ogawa, Shumpei
Watanabe, Tomoyuki
Nakagawa, Toru
Honda, Toru
Watanabe, Yuya
Furuya, Yuko
Hayashi, Takeshi
Tatemichi, Masayuki
Nakano, Tadashi
author_sort Fukai, Kota
collection PubMed
description PURPOSE: To develop and validate a risk score assessable in real-time using only retinal thickness-related values measured by spectral domain optical coherence tomography alone for use in population-based glaucoma mass screenings. METHODS: A total of 7572 participants (aged 35–74 years) underwent spectral domain optical coherence tomography examination annually between 2016 to 2021 in a population-based setting. We selected 284 glaucoma cases and 284 controls, matched by age and sex, from 11,487 scans in 2016. We conducted multivariable logistic regression with backward stepwise selection of retinal thickness-related variables to develop the diagnostic models. The developed risk scores were applied to all participants in 2018 (9720 eyes), and we randomly selected 723 scans for validation. Additional validation using the Humphrey field analyzer was conducted on 129 eyes in 2020. We assessed the models using sensitivity, specificity, the area under the receiver operating characteristic curve and positive and negative predictive values. RESULTS: The best-predicting model achieved an area under the receiver operating characteristic curve of 0.97 (95% confidence interval, 0.96–0.98) with a sensitivity of 0.93 and specificity of 0.91. The validation dataset showed a positive predictive value of 90.8% for high-risk scorers, corresponding to 6.2% of the population, and negative predictive value of 88.2% for low-risk scorers, corresponding to 85.2%. Sensitivity and specificity for glaucoma diagnosis were 0.85 and 0.91, when we set the risk score cut-off at 90 points out of 100. CONCLUSIONS: This risk score could be used as a valid index for glaucoma screening in a population-based setting. TRANSLATIONAL RELEVANCE: The score is feasible by installing a simple computer application on an existing spectral domain optical coherence tomography and will help to improve the accuracy and efficiency of glaucoma screening.
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spelling pubmed-93667242022-08-12 Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation Fukai, Kota Terauchi, Ryo Noro, Takahiko Ogawa, Shumpei Watanabe, Tomoyuki Nakagawa, Toru Honda, Toru Watanabe, Yuya Furuya, Yuko Hayashi, Takeshi Tatemichi, Masayuki Nakano, Tadashi Transl Vis Sci Technol Glaucoma PURPOSE: To develop and validate a risk score assessable in real-time using only retinal thickness-related values measured by spectral domain optical coherence tomography alone for use in population-based glaucoma mass screenings. METHODS: A total of 7572 participants (aged 35–74 years) underwent spectral domain optical coherence tomography examination annually between 2016 to 2021 in a population-based setting. We selected 284 glaucoma cases and 284 controls, matched by age and sex, from 11,487 scans in 2016. We conducted multivariable logistic regression with backward stepwise selection of retinal thickness-related variables to develop the diagnostic models. The developed risk scores were applied to all participants in 2018 (9720 eyes), and we randomly selected 723 scans for validation. Additional validation using the Humphrey field analyzer was conducted on 129 eyes in 2020. We assessed the models using sensitivity, specificity, the area under the receiver operating characteristic curve and positive and negative predictive values. RESULTS: The best-predicting model achieved an area under the receiver operating characteristic curve of 0.97 (95% confidence interval, 0.96–0.98) with a sensitivity of 0.93 and specificity of 0.91. The validation dataset showed a positive predictive value of 90.8% for high-risk scorers, corresponding to 6.2% of the population, and negative predictive value of 88.2% for low-risk scorers, corresponding to 85.2%. Sensitivity and specificity for glaucoma diagnosis were 0.85 and 0.91, when we set the risk score cut-off at 90 points out of 100. CONCLUSIONS: This risk score could be used as a valid index for glaucoma screening in a population-based setting. TRANSLATIONAL RELEVANCE: The score is feasible by installing a simple computer application on an existing spectral domain optical coherence tomography and will help to improve the accuracy and efficiency of glaucoma screening. The Association for Research in Vision and Ophthalmology 2022-08-08 /pmc/articles/PMC9366724/ /pubmed/35938880 http://dx.doi.org/10.1167/tvst.11.8.8 Text en Copyright 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Glaucoma
Fukai, Kota
Terauchi, Ryo
Noro, Takahiko
Ogawa, Shumpei
Watanabe, Tomoyuki
Nakagawa, Toru
Honda, Toru
Watanabe, Yuya
Furuya, Yuko
Hayashi, Takeshi
Tatemichi, Masayuki
Nakano, Tadashi
Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation
title Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation
title_full Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation
title_fullStr Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation
title_full_unstemmed Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation
title_short Real-Time Risk Score for Glaucoma Mass Screening by Spectral Domain Optical Coherence Tomography: Development and Validation
title_sort real-time risk score for glaucoma mass screening by spectral domain optical coherence tomography: development and validation
topic Glaucoma
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366724/
https://www.ncbi.nlm.nih.gov/pubmed/35938880
http://dx.doi.org/10.1167/tvst.11.8.8
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