Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
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Yong-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.com

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Supported by Medical-Engineering Interdisciplinary Research Foundation of Shenzhen University and Research Development Fund of Beijing Municipal Health Commission (No.2019-4).

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    Abstract:

    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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Ying-Huai Zhang, Jun Feng, Chen-Yuan Yi, et al. Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment. Int J Ophthalmol, 2023,16(12):1911-1918

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Publication History
  • Received:June 10,2023
  • Revised:September 11,2023
  • Adopted:
  • Online: November 22,2023
  • Published: