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通过半自动泪液半月板中央区域测量推进诊断以鉴别水样液缺乏性干眼

Advancing Diagnostics with Semi-Automatic Tear Meniscus Central Area Measurement for Aqueous Deficient Dry Eye Discrimination.

作者信息

Pena-Verdeal Hugo, Garcia-Queiruga Jacobo, Sabucedo-Villamarin Belen, Garcia-Resua Carlos, Giraldez Maria J, Yebra-Pimentel Eva

机构信息

GI-2092 Optometry, Departamento de Física Aplicada (Área de Optometría), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

AC-24 Optometry, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain.

出版信息

Medicina (Kaunas). 2025 Jul 22;61(8):1322. doi: 10.3390/medicina61081322.

Abstract

: To clinically validate a semi-automatic measurement of Tear Meniscus Central Area (TMCA) to differentiate between Non-Aqueous Deficient Dry Eye (Non-ADDE) and Aqueous Deficient Dry Eye (ADDE) patients. 120 volunteer participants were included in the study. Following TFOS DEWS II diagnostic criteria, a battery of tests was conducted for dry eye diagnosis: Ocular Surface Disease Index questionnaire, tear film osmolarity, tear film break-up time, and corneal staining. Additionally, lower tear meniscus videos were captured with Tearscope illumination and, separately, with fluorescein using slit-lamp blue light and a yellow filter. Tear meniscus height was measured from Tearscope videos to differentiate Non-ADDE from ADDE participants, while TMCA was obtained from fluorescein videos. Both parameters were analyzed using the open-source software NIH ImageJ. Receiver Operating Characteristics analysis showed that semi-automatic TMCA evaluation had significant diagnostic capability to differentiate between Non-ADDE and ADDE participants, with an optimal cut-off value to differentiate between the two groups of 54.62 mm (Area Under the Curve = 0.714 ± 0.051, < 0.001; specificity: 71.7%; sensitivity: 68.9%). The semi-automatic TMCA evaluation showed preliminary valuable results as a diagnostic tool for distinguishing between ADDE and Non-ADDE individuals.

摘要

为了临床验证泪液半月皱襞中央面积(TMCA)的半自动测量方法,以区分非水液缺乏型干眼(Non-ADDE)患者和水液缺乏型干眼(ADDE)患者。120名志愿者参与了该研究。按照TFOS DEWS II诊断标准,进行了一系列干眼诊断测试:眼表疾病指数问卷、泪膜渗透压、泪膜破裂时间和角膜染色。此外,分别使用泪液镜照明以及使用裂隙灯蓝光和黄色滤光片的荧光素拍摄下睑泪液半月皱襞的视频。从泪液镜视频中测量泪液半月皱襞高度,以区分Non-ADDE和ADDE参与者,而TMCA则从荧光素视频中获取。两个参数均使用开源软件NIH ImageJ进行分析。受试者工作特征分析表明,半自动TMCA评估具有显著的诊断能力,可区分Non-ADDE和ADDE参与者,区分两组的最佳截断值为54.62平方毫米(曲线下面积=0.714±0.051,P<0.001;特异性:71.7%;敏感性:68.9%)。半自动TMCA评估作为区分ADDE和Non-ADDE个体的诊断工具显示出初步的有价值结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f5/12387688/2430f0ee87c6/medicina-61-01322-g001.jpg

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