Quantitative analysis of morphological and functional features in Meibography for Meibomian Gland Dysfunction: Diagnosis and Grading.
Quantitative analysis of morphological and functional features in Meibography for Meibomian Gland Dysfunction: Diagnosis and Grading.
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睑板腺功能障碍的睑板腺造影形态和功能特征的定量分析：诊断和分级
DOI：
10.1016/j.eclinm.2021.101132
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发表时间：
2021-10
影响因子：
15.1
通讯作者：
Yuan J
中科院分区：
文献类型：
--
作者：
Deng Y;Wang Q;Luo Z;Li S;Wang B;Zhong J;Peng L;Xiao P;Yuan J
目的探讨睑板腺自动分析仪对睑板造影图像进行形态和功能定量分析在诊断和分级睑板腺功能障碍（MGD）中的作用。在2019年1月1日至2020年12月31日期间进行了一项横断面研究，收集了256名患有干眼症相关症状的受试者和56名健康志愿者，他们接受了完整的眼表检查。将256例有症状的受试者分为MGD组（n = 195）和症状性非MGD组（n = 61）。使用自动MG分析仪获得睑板造影图像中的多参数测量值，包括MG面积比（GA）、MG直径变形指数（DI）、MG弯曲指数（TI）和MG信号指数（SI）。对MGD的MG多参数测量进行校正比值比（OR），以及对MGD诊断和分级的多参数测量的受试者工作特征（AUC-ROC）曲线下面积。当综合考虑年龄、性别、眼表状况时，对于MGD，DI的估计OR为1.62（95%CI，1.29-2.56），低水平SI为24.34（95%CI，2.73-217.3），TI为0.76（95%CI，0.54-0.90），GA为0.86（95%CI，0.74-0.92）。DI-TI-GA-SI的组合显示用于区分MGD与有症状受试者的AUC = 0.82（P < 0.001）。DI在识别早期MGD（1-2级）时具有较高的AUC，而TI和GA在中度和晚期（3-5级）时具有较高的AUC。合并DI-TI-GA显示区分MGD严重程度的AUC最高。MGs面积比、直径变形、迂曲度和信号强度可被认为是有希望的MGD诊断和客观分级的生物标志物。本课题得到了广东省重点领域研究发展计划（No.2019B010152001）、国家自然科学基金（81901788）和广州市科技计划（202002030412）的资助。
To explore the performance of quantitative morphological and functional analysis in meibography images by an automatic meibomian glands (MGs) analyser in diagnosis and grading Meibomian Gland Dysfunction (MGD). A cross-sectional study collected 256 subjects with symptoms related to dry eye and 56 healthy volunteers who underwent complete ocular surface examination was conducted between January 1, 2019, and December 31, 2020. The 256 symptomatic subjects were classified into MGD group (n = 195) and symptomatic non-MGD group (n = 61). An automatic MGs analyser was used to obtained multi-parametric measurements in meibography images including the MGs area ratio (GA), MGs diameter deformation index (DI), MGs tortuosity index (TI), and MGs signal index (SI). Adjusted odds ratios (ORs) of the multi-parametric measurements of MGs for MGD, and the area under the receiver operating characteristic (AUC-ROC) curves of multi-parametric measurements for MGD diagnosing and grading were conducted. When consider age, sex, ocular surface condition together, the estimated ORs for DI was 1.62 (95% CI, 1.29-2.56), low-level SI was 24.34 (95% CI, 2.73-217.3), TI was 0.76(95% CI, 0.54-0.90), and GA was 0.86 (95% CI, 0.74-0.92) for MGD. The combination of DI-TI-GA-SI showed an AUC = 0.82 (P < 0.001) for discriminating MGD from symptomatic subjects. The DI had a higher AUC in identifying early-stage MGD (grade 1-2), while TI and GA had higher AUCs in moderate and advanced stages (grade 3-5). Merging DI-TI-GA showed the highest AUCs in distinguish MGD severities. The MGs area ratio, diameter deformation, tortuosity and signal intensity could be considered promising biomarkers for MGD diagnosis and objective grading. This work was supported by the Key-Area Research and Development Program of Guangdong Province (No. 2019B010152001), the National Natural Science Foundation of China under Grant (81901788) and Guangzhou Science and Technology Program (202002030412).
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