关键词: Artificial intelligence Asymptomatic children Meibomian gland Orthokeratology Soft contact lens

Mesh : Child Humans Meibomian Glands / diagnostic imaging Retrospective Studies Artificial Intelligence Contact Lenses, Hydrophilic Tears Eyelid Diseases / diagnosis

来  源:   DOI:10.1016/j.clae.2023.101841

Abstract:
To test the changes of meibomian gland (MG) morphology using an artificial intelligence (AI) analytic system in asymptomatic children wearing overnight orthokeratology (OOK) and soft contact lens (SCL).
A retrospective study was conducted including 89 participants treated with OOK and 70 participants with SCL. Tear meniscus height (TMH), noninvasive tear breakup time (NIBUT), and meibography were obtained using Keratograph 5 M. MG tortuosity, height, width, density, and vagueness value were measured using an artificial intelligence (AI) analytic system.
In an average of 20.80 ± 10.83 months follow-up, MG width of the upper eyelid significantly increased and MG vagueness value significantly decreased after OOK and SCL treatment (all P < 0.05). MG tortuosity of the upper eyelid significantly increased after OOK treatment (P < 0.05). TMH and NIBUT did not differ significantly pre- and post- OOK and SCL treatment (all P > 0.05). The results from the GEE model demonstrated that OOK treatment positively affected MG tortuosity of both upper and lower eyelids (P < 0.001; P = 0.041, respectively) and MG width of the upper eyelid (P = 0.038), while it negatively affected MG density of the upper eyelid (P = 0.036) and MG vagueness value of both upper and lower eyelids (P < 0.001; P < 0.001, respectively). SCL treatment positively affected MG width of both upper and lower eyelids (P < 0.001; P = 0.049, respectively) as well as MG height of the lower eyelid (P = 0.009) and tortuosity of the upper eyelid, (P = 0.034) while it negatively affected MG vagueness value of both upper and lower eyelids (P < 0.001; P < 0.001, respectively). However, no significant relationship was found between the treatment duration and TMH, NIBUT, MG morphological parameters in OOK group. SCL treatment duration negatively affected MG height of the lower eyelid (P = 0.002).
OOK and SCL treatment in asymptomatic children can influence MG morphology. The AI analytic system may be an effective method to facilitate the quantitative detection of MG morphological changes.
摘要:
目的:使用人工智能(AI)分析系统测试无症状儿童夜间角膜塑形镜(OOK)和软性隐形眼镜(SCL)的睑板腺(MG)形态的变化。
方法:进行了一项回顾性研究,包括89名接受OOK治疗的参与者和70名接受SCL治疗的参与者。撕裂弯月面高度(TMH),非侵入性泪液破裂时间(NIBUT),并且使用角膜描记术5M.MG弯曲,高度,宽度,密度,和模糊值是使用人工智能(AI)分析系统测量的。
结果:在平均20.80±10.83个月的随访中,OOK和SCL治疗后,上眼睑MG宽度显着增加,MG模糊值显着降低(均P<0.05)。OOK治疗后,MG上睑弯曲度明显增加(P<0.05)。在OOK和SCL治疗前后,TMH和NIBUT没有显着差异(均P>0.05)。GEE模型的结果表明,OOK治疗对上下眼睑的MG弯曲度(分别为P<0.001;P=0.041)和上眼睑的MG宽度(P=0.038)均有积极影响。同时对上眼睑的MG密度(P=0.036)和上下眼睑的MG模糊值(分别为P<0.001;P<0.001)产生负面影响。SCL治疗对上下眼睑的MG宽度(分别为P<0.001;P=0.049)以及下眼睑的MG高度(P=0.009)和上眼睑的弯曲度都有积极影响,(P=0.034),而对上下眼睑的MG模糊值产生负面影响(分别为P<0.001;P<0.001)。然而,治疗时间和TMH之间没有发现显著的关系,NIBUT,OOK组MG形态参数。SCL治疗持续时间对下眼睑的MG高度有负面影响(P=0.002)。
结论:OOK和SCL治疗无症状儿童可影响MG形态。AI分析系统可能是一种有助于定量检测MG形态变化的有效方法。
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