Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment

AIM: To investigate the relationship between dynamic tear meniscus parameters and dry eye using an automated tear meniscus segmentation method. METHODS: The analysis of tear meniscus videos captured within 5s after a complete blink includes data from 38 participates. By processing video data, severa...

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Main Authors: Ying-Huai Zhang, Jun Feng, Chen-Yuan Yi, Xian-Yu Deng, Yong-Jin Zhou, Lei Tian, Ying Jie
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2023-12-01
Series:International Journal of Ophthalmology
Subjects:
Online Access:http://ies.ijo.cn/en_publish/2023/12/20231201.pdf
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author Ying-Huai Zhang
Jun Feng
Chen-Yuan Yi
Xian-Yu Deng
Yong-Jin Zhou
Lei Tian
Ying Jie
author_facet Ying-Huai Zhang
Jun Feng
Chen-Yuan Yi
Xian-Yu Deng
Yong-Jin Zhou
Lei Tian
Ying Jie
author_sort Ying-Huai Zhang
collection DOAJ
description AIM: To investigate the relationship between dynamic tear meniscus parameters and dry eye using an automated tear meniscus segmentation method. METHODS: The analysis of tear meniscus videos captured within 5s after a complete blink includes data from 38 participates. By processing video data, several key parameters including the average height of the tear meniscus at different lengths, the curvature of the tear meniscus's upper boundary, and the total area of the tear meniscus in each frame were calculated. The effective values of these dynamic parameters were then linearly fitted to explore the relationship between their changing trends and dry eye disease. RESULTS: In 94.74% of the samples, the average height of central tear meniscus increased over time. Moreover, 97.37% of the samples exhibited an increase in the overall tear meniscus height (TMH) and area from the nasal to temporal side. Notably, the central TMH increased at a faster rate compared to the nasal side with the temporal side showing the slowest ascent. Statistical analysis indicates that the upper boundary curvature of the whole tear meniscus as well as the tear meniscus of the nasal side (2, 3, and 4 mm) aid in identifying the presence of dry eye and assessing its severity. CONCLUSION: This study contributes to the understanding of tear meniscus dynamics as potential markers for dry eye, utilizing an automated and non-invasive approach that has implications for clinical assessment.
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spelling doaj.art-18252a3bb90145fcb48067fb2bfb98ac2023-11-23T08:41:41ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982023-12-0116121911191810.18240/ijo.2023.12.0120231201Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessmentYing-Huai Zhang0Jun Feng1Chen-Yuan Yi2Xian-Yu Deng3Yong-Jin Zhou4Lei Tian5Ying Jie6Yong-Jin Zhou. Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, Guangdong Province, China. yjzhou@szu.edu.cn; Lei Tian and Ying Jie. Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Lab, No.1 Dong Jiao Min Xiang, Dong Cheng District, Beijing 100730, China. tianlei0131@163.com; jie_yingcn@aliyun.comBeijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, ChinaGuangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, Guangdong Province, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518055, Guangdong Province, ChinaGuangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, Guangdong Province, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518055, Guangdong Province, ChinaGuangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, Guangdong Province, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518055, Guangdong Province, ChinaBeijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, ChinaBeijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing 100730, ChinaAIM: To investigate the relationship between dynamic tear meniscus parameters and dry eye using an automated tear meniscus segmentation method. METHODS: The analysis of tear meniscus videos captured within 5s after a complete blink includes data from 38 participates. By processing video data, several key parameters including the average height of the tear meniscus at different lengths, the curvature of the tear meniscus's upper boundary, and the total area of the tear meniscus in each frame were calculated. The effective values of these dynamic parameters were then linearly fitted to explore the relationship between their changing trends and dry eye disease. RESULTS: In 94.74% of the samples, the average height of central tear meniscus increased over time. Moreover, 97.37% of the samples exhibited an increase in the overall tear meniscus height (TMH) and area from the nasal to temporal side. Notably, the central TMH increased at a faster rate compared to the nasal side with the temporal side showing the slowest ascent. Statistical analysis indicates that the upper boundary curvature of the whole tear meniscus as well as the tear meniscus of the nasal side (2, 3, and 4 mm) aid in identifying the presence of dry eye and assessing its severity. CONCLUSION: This study contributes to the understanding of tear meniscus dynamics as potential markers for dry eye, utilizing an automated and non-invasive approach that has implications for clinical assessment.http://ies.ijo.cn/en_publish/2023/12/20231201.pdfdry eyedynamictear meniscusblinking
spellingShingle Ying-Huai Zhang
Jun Feng
Chen-Yuan Yi
Xian-Yu Deng
Yong-Jin Zhou
Lei Tian
Ying Jie
Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
International Journal of Ophthalmology
dry eye
dynamic
tear meniscus
blinking
title Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
title_full Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
title_fullStr Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
title_full_unstemmed Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
title_short Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
title_sort dynamic tear meniscus parameters in complete blinking insights into dry eye assessment
topic dry eye
dynamic
tear meniscus
blinking
url http://ies.ijo.cn/en_publish/2023/12/20231201.pdf
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