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作 者:Ying-Huai Zhang Jun Feng Chen-Yuan Yi Xian-Yu Deng Yong-Jin Zhou Lei Tian Ying Jie
机构地区:[1]Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging,School of Biomedical Engineering,Shenzhen University Medical School,Shenzhen 518060,Guangdong Province,China [2]Marshall Laboratory of Biomedical Engineering,Shenzhen 518055,Guangdong Province,China [3]Beijing Ophthalmology and Visual Sciences Key Laboratory,Beijing Tongren Eye Center,Beijing Tongren Hospital,Beijing Institute of Ophthalmology,Capital Medical University,Beijing 100730,China
出 处:《International Journal of Ophthalmology(English edition)》2023年第12期1911-1918,共8页国际眼科杂志(英文版)
基 金:Supported by Medical-Engineering Interdisciplinary Research Foundation of Shenzhen University and Research Development Fund of Beijing Municipal Health Commission(No.2019-4).
摘 要: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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