Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm
PurposeTo investigate the changes in meibomian gland (MG) structure in allergic conjunctivitis (AC) patients using an intelligent quantitative analysis algorithm and to explore the relationship between these changes and clinical parameters.MethodsA total of 252 eyes from patients with AC and 200 eye...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Cell and Developmental Biology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcell.2024.1518154/full |
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| author | Jingting Wei Jingting Wei Kunhong Xiao Qingyuan Cai Qingyuan Cai Shenghua Lin Xiangjie Lin Yujie Wang Yujie Wang Jiawen Lin Kunfeng Lai Yunxi Ye Yuhan Liu Li Li |
| author_facet | Jingting Wei Jingting Wei Kunhong Xiao Qingyuan Cai Qingyuan Cai Shenghua Lin Xiangjie Lin Yujie Wang Yujie Wang Jiawen Lin Kunfeng Lai Yunxi Ye Yuhan Liu Li Li |
| author_sort | Jingting Wei |
| collection | DOAJ |
| description | PurposeTo investigate the changes in meibomian gland (MG) structure in allergic conjunctivitis (AC) patients using an intelligent quantitative analysis algorithm and to explore the relationship between these changes and clinical parameters.MethodsA total of 252 eyes from patients with AC and 200 eyes from normal controls were examined. Infrared meibography was performed using the non-contact mode of the Keratograph 5M. MG images were analyzed using a deep learning-based a quantitative analysis algorithm to evaluate gland length, area, dropout ratio, and deformation. Clinical parameters, including tear meniscus height, tear break up time (TBUT), conjunctival hyperemia, and Ocular Surface Disease Index (OSDI) scores, were assessed and correlated with changes in the structure of MG.ResultsThe average MG length in AC patients was 4.48 ± 1.04 mm, shorter compared to the control group (4.72 ± 0.94 mm). The average length of the central 5 glands in AC patients was 4.94 ± 1.67 mm, which was also shorter than the control group’s central 5 glands (5.38 ± 1.42 mm). Furthermore, the central 5 glands’ area in AC patients (1.61 ± 0.64 mm2) was reduced compared to the control group (1.79 ± 0.62 mm2). Tear meniscus height was lower in the allergy group (0.26 ± 0.10 mm) compared to the control group (0.44 ± 0.08 mm) (P < 0.05). The non-invasive first tear film break-up time was shorter in the allergy group (8.65 ± 6.31 s) than in the control group (10.48 ± 2.58 s) (P < 0.05). Conjunctival congestion was higher in the allergy group (1.1 ± 0.52) compared to the control group (0.97 ± 0.30) (P < 0.05). The OSDI score in the allergy group (8.33 ± 7.6) was higher than that in the control group (4.00 ± 0.50) (P < 0.05). Correlation analysis revealed that the gland dropout ratio was positively associated with male gender and negatively associated with age and OSDI scores. Additionally, despite an increased number of MG, tear film stability was not improved.ConclusionThrough the intelligent quantitative algorithm, we found that AC leads to significant changes in MG structure, particularly affecting gland length and central area. |
| format | Article |
| id | doaj-art-2d8eb3fcf6b64293bd73b2083f3d4a73 |
| institution | Kabale University |
| issn | 2296-634X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Cell and Developmental Biology |
| spelling | doaj-art-2d8eb3fcf6b64293bd73b2083f3d4a732025-01-06T06:59:14ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2025-01-011210.3389/fcell.2024.15181541518154Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithmJingting Wei0Jingting Wei1Kunhong Xiao2Qingyuan Cai3Qingyuan Cai4Shenghua Lin5Xiangjie Lin6Yujie Wang7Yujie Wang8Jiawen Lin9Kunfeng Lai10Yunxi Ye11Yuhan Liu12Li Li13Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, ChinaDepartment of Optometry, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaDepartment of Optometry, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, ChinaDepartment of Optometry, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaDepartment of Optometry, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaDepartment of Optometry, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, AustraliaDivision of Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC, AustraliaSchool of Computer Science and Big Data, Fuzhou University, Fuzhou, ChinaSchool of Computer Science and Big Data, Fuzhou University, Fuzhou, ChinaSchool of Basic Medical Sciences, Fujian Medical University, Fuzhou, ChinaSchool of Basic Medical Sciences, Fujian Medical University, Fuzhou, ChinaFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, ChinaPurposeTo investigate the changes in meibomian gland (MG) structure in allergic conjunctivitis (AC) patients using an intelligent quantitative analysis algorithm and to explore the relationship between these changes and clinical parameters.MethodsA total of 252 eyes from patients with AC and 200 eyes from normal controls were examined. Infrared meibography was performed using the non-contact mode of the Keratograph 5M. MG images were analyzed using a deep learning-based a quantitative analysis algorithm to evaluate gland length, area, dropout ratio, and deformation. Clinical parameters, including tear meniscus height, tear break up time (TBUT), conjunctival hyperemia, and Ocular Surface Disease Index (OSDI) scores, were assessed and correlated with changes in the structure of MG.ResultsThe average MG length in AC patients was 4.48 ± 1.04 mm, shorter compared to the control group (4.72 ± 0.94 mm). The average length of the central 5 glands in AC patients was 4.94 ± 1.67 mm, which was also shorter than the control group’s central 5 glands (5.38 ± 1.42 mm). Furthermore, the central 5 glands’ area in AC patients (1.61 ± 0.64 mm2) was reduced compared to the control group (1.79 ± 0.62 mm2). Tear meniscus height was lower in the allergy group (0.26 ± 0.10 mm) compared to the control group (0.44 ± 0.08 mm) (P < 0.05). The non-invasive first tear film break-up time was shorter in the allergy group (8.65 ± 6.31 s) than in the control group (10.48 ± 2.58 s) (P < 0.05). Conjunctival congestion was higher in the allergy group (1.1 ± 0.52) compared to the control group (0.97 ± 0.30) (P < 0.05). The OSDI score in the allergy group (8.33 ± 7.6) was higher than that in the control group (4.00 ± 0.50) (P < 0.05). Correlation analysis revealed that the gland dropout ratio was positively associated with male gender and negatively associated with age and OSDI scores. Additionally, despite an increased number of MG, tear film stability was not improved.ConclusionThrough the intelligent quantitative algorithm, we found that AC leads to significant changes in MG structure, particularly affecting gland length and central area.https://www.frontiersin.org/articles/10.3389/fcell.2024.1518154/fullallergic conjunctivitismeibomian glandquantitative analysis algorithmdry eye diseaseartificial intelligence |
| spellingShingle | Jingting Wei Jingting Wei Kunhong Xiao Qingyuan Cai Qingyuan Cai Shenghua Lin Xiangjie Lin Yujie Wang Yujie Wang Jiawen Lin Kunfeng Lai Yunxi Ye Yuhan Liu Li Li Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm Frontiers in Cell and Developmental Biology allergic conjunctivitis meibomian gland quantitative analysis algorithm dry eye disease artificial intelligence |
| title | Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm |
| title_full | Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm |
| title_fullStr | Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm |
| title_full_unstemmed | Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm |
| title_short | Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm |
| title_sort | meibomian gland alterations in allergic conjunctivitis insights from a novel quantitative analysis algorithm |
| topic | allergic conjunctivitis meibomian gland quantitative analysis algorithm dry eye disease artificial intelligence |
| url | https://www.frontiersin.org/articles/10.3389/fcell.2024.1518154/full |
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