Application of visante optical coherence tomography tear meniscus height measurement in the diagnosis of dry eye disease

Purpose: To investigate the applicability of tear meniscus height (TMH) measurement using Visante optical coherence tomography (OCT) in the diagnosis of dry eye disease. Design: Prospective, controlled, single-center study. Participants: Twenty-four right eyes of 24 patients (6 males, 18 females; mean age, 63.14±13.4 years) with definite dry eye according to the Japanese dry eye diagnostic criteria and 27 right eyes of 27 control subjects (12 males, 15 females; mean age, 56.04±14.22 years) were recruited. Methods: All subjects underwent slit-lamp TMH measurement, OCT upper and lower TMH measurements, tear film breakup time (BUT) measurements, vital stainings, and Schirmer test. The results were compared between the 2 groups by Mann-Whitney test. Main Outcome Measures: The correlation between the clinical findings of slit-lamp TMH, strip meniscometry examination, tear functions, vital staining scores, and the OCT upper and lower TMH parameters were tested by Spearman's correlation test. Receiver operating characteristic (ROC) curve technique was used to evaluate the sensitivity, specificity and cutoff values of OCT TMH examination in the diagnosis of dry eye. Results: The OCT upper and lower TMH values, slit-lamp TMH, strip meniscometry, tear film BUT, and vital staining scores were significantly lower in the dry eye patients compared with controls (P<0.001). A significant correlation between the OCT upper and lower TMH measurements as well as slit-lamp TMH, strip meniscometry, tear functions, vital staining scores, and the Schirmer test was found. The ROC curve technique analysis of the OCT lower TMH showed that, when the cutoff value was set at <0.30 mm, the sensitivity and specificity of the testing were 67% and 81%, respectively. Conclusions: The Visante OCT is a quick, noninvasive method for assessing the TMH, with acceptable sensitivity, specificity, and repeatability, and may have potential applications for the diagnosis and evaluation of dry eye disease. Financial Disclosure(s): The authors have no proprietary or commercial interest in any of the materials discussed in this article.