Department of Ophthalmology, Semmelweis University, Budapest, Hungary.
Invest Ophthalmol Vis Sci. 2011 May 5;52(6):2945-51. doi: 10.1167/iovs.10-5505.
To visualize and describe the morphologic appearance of lid-parallel conjunctival folds (LIPCOFs) by using optical coherence tomography (OCT) and to relate it to dry eye signs and symptoms.
The LIPCOF grade, noninvasive tear film breakup time (NIBUT), lipid layer interference pattern, and dry eye symptoms were recorded in 17 normal subjects and 33 patients with dry eye. LIPCOFs were evaluated with a slit lamp and visualized by OCT. Three different algorithms for OCT were developed to grade LIPCOFs according to tear meniscus height or the covering tear film on the folds.
The three OCT methods showed significant correlation with the slit lamp method (r = 0.470-0.473, P < 0.01). The OCT LIPCOF imaging methods were independent of NIBUT. The Dry Eye Questionnaire (DEQ) scores correlated with the height of the folds and the absence of tear film coverage of the folds (r = 0.574, P < 0.001 and r = -0.527, P < 0.001, respectively). The OCT LIPCOF grades correlated with the DEQ scores (r = 0.494, P < 0.001 and r = 0.310, P = 0.029, respectively). The slit lamp grade did not correlate with the DEQ scores in the whole population, but did in the normal group (r = 0.458, P = 0.024). The OCT LIPCOF grades showed inverse correlation with lipid pattern in the normal group (r = -0.422-0.481, P = 0.05); however, this association disappeared in the dry eye group.
OCT enabled a noninvasive, high-resolution method of imaging, evaluating, and classifying LIPCOFs. These new classifications correlated well with the slit lamp grade and the DEQ scores, promising a new, more objective evaluation of dry eye.
利用光学相干断层扫描(OCT)观察并描述睑平行结膜皱褶(LIPCOF)的形态外观,并将其与干眼的体征和症状联系起来。
对 17 名正常受试者和 33 名干眼患者的 LIPCOF 分级、非侵入性泪膜破裂时间(NIBUT)、脂质层干涉模式和干眼症状进行记录。使用裂隙灯和 OCT 观察 LIPCOF。开发了三种不同的 OCT 算法,根据泪膜新月高度或折叠处覆盖的泪膜对 LIPCOF 进行分级。
三种 OCT 方法与裂隙灯法均具有显著相关性(r = 0.470-0.473,P < 0.01)。OCT LIPCOF 成像方法与 NIBUT 无关。干眼问卷(DEQ)评分与皱褶的高度和折叠处缺乏泪膜覆盖相关(r = 0.574,P < 0.001 和 r = -0.527,P < 0.001)。OCT LIPCOF 分级与 DEQ 评分相关(r = 0.494,P < 0.001 和 r = 0.310,P = 0.029)。在整个人群中,裂隙灯分级与 DEQ 评分无关,但在正常组中相关(r = 0.458,P = 0.024)。OCT LIPCOF 分级与正常组的脂质模式呈负相关(r = -0.422-0.481,P = 0.05);然而,在干眼组中这种相关性消失。
OCT 实现了一种非侵入性、高分辨率的 LIPCOF 成像、评估和分类方法。这些新的分类与裂隙灯分级和 DEQ 评分相关性良好,有望为干眼提供一种新的、更客观的评估方法。