Development of fully automated anterior chamber cell analysis based on image software

Abstract Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. Several studies have used OCT for analysis of anterior chamber cells. However, these studies have several limitations. This study was performed to supplement exi...

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Autores principales:	Tae Seen Kang, Yeongseop Lee, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Woohyuk Lee, Jin Hyun Kim, Yong Seop Han
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5b8f985215e54513aa692eb9323d3557
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spelling	oai:doaj.org-article:5b8f985215e54513aa692eb9323d35572021-12-02T15:45:15ZDevelopment of fully automated anterior chamber cell analysis based on image software10.1038/s41598-021-89794-02045-2322https://doaj.org/article/5b8f985215e54513aa692eb9323d35572021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89794-0https://doaj.org/toc/2045-2322Abstract Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. Several studies have used OCT for analysis of anterior chamber cells. However, these studies have several limitations. This study was performed to supplement existing reports of automated analysis of anterior chamber cell images using spectral domain OCT (SD-OCT) and to compare this method with the Standardization of Uveitis Nomenclature (SUN) grading system. We analyzed 2398 anterior segment SD-OCT images from 34 patients using code written in Python. Cell density, size, and eccentricity were measured automatically. Increases in SUN grade were associated with significant cell density increases at all stages (p < 0.001). Significant differences were observed in eccentricity in uveitis, post-surgical inflammation, and vitreous hemorrhage (p < 0.001). Anterior segment SD-OCT is reliable, fast, and accurate means of anterior chamber cell analysis. This method showed a strong correlation with the SUN grade system. Also, eccentricity could be helpful as a supplementary evaluation tool.Tae Seen KangYeongseop LeeSeongjin LeeKyonghoon KimWoong-sub LeeWoohyuk LeeJin Hyun KimYong Seop HanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tae Seen Kang Yeongseop Lee Seongjin Lee Kyonghoon Kim Woong-sub Lee Woohyuk Lee Jin Hyun Kim Yong Seop Han Development of fully automated anterior chamber cell analysis based on image software
description	Abstract Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. Several studies have used OCT for analysis of anterior chamber cells. However, these studies have several limitations. This study was performed to supplement existing reports of automated analysis of anterior chamber cell images using spectral domain OCT (SD-OCT) and to compare this method with the Standardization of Uveitis Nomenclature (SUN) grading system. We analyzed 2398 anterior segment SD-OCT images from 34 patients using code written in Python. Cell density, size, and eccentricity were measured automatically. Increases in SUN grade were associated with significant cell density increases at all stages (p < 0.001). Significant differences were observed in eccentricity in uveitis, post-surgical inflammation, and vitreous hemorrhage (p < 0.001). Anterior segment SD-OCT is reliable, fast, and accurate means of anterior chamber cell analysis. This method showed a strong correlation with the SUN grade system. Also, eccentricity could be helpful as a supplementary evaluation tool.
format	article
author	Tae Seen Kang Yeongseop Lee Seongjin Lee Kyonghoon Kim Woong-sub Lee Woohyuk Lee Jin Hyun Kim Yong Seop Han
author_facet	Tae Seen Kang Yeongseop Lee Seongjin Lee Kyonghoon Kim Woong-sub Lee Woohyuk Lee Jin Hyun Kim Yong Seop Han
author_sort	Tae Seen Kang
title	Development of fully automated anterior chamber cell analysis based on image software
title_short	Development of fully automated anterior chamber cell analysis based on image software
title_full	Development of fully automated anterior chamber cell analysis based on image software
title_fullStr	Development of fully automated anterior chamber cell analysis based on image software
title_full_unstemmed	Development of fully automated anterior chamber cell analysis based on image software
title_sort	development of fully automated anterior chamber cell analysis based on image software
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5b8f985215e54513aa692eb9323d3557
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Development﻿ of fully automated anterior chamber cell analysis based on image software

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Development of fully automated anterior chamber cell analysis based on image software