Literature DB >> 27816570

Examination of Gland Dropout Detected on Infrared Meibography by Using Optical Coherence Tomography Meibography.

Young-Sik Yoo1, Kyung-Sun Na2, Yong-Soo Byun3, Jun Geun Shin4, Byeong Ha Lee4, Geunyoung Yoon5, Tae Joong Eom6, Choun-Ki Joo7.   

Abstract

PURPOSE: To elucidate the anatomic details of gland dropout detected on two-dimensional infrared (IR) meibography in cases of dry eye associated with meibomian gland dysfunction (MGD) by using three-dimensional optical coherence tomography (OCT) meibography.
METHODS: In this cross-sectional, observational case series, we enrolled gland dropout detected on IR meibography; the condition was then examined using a real-time swept-source OCT system. Accordingly, a series of 500 raster B-scan OCT images, with the gland dropout site (observed on IR imaging) at the center, were obtained and rendered as three-dimensional volume images. The OCT images were classified based on the anatomic details, including acini and ducts, at the meibomian glands (Group I, constricted acini; II, atrophic acini; III, no acini).
RESULTS: The percentage of disagreement between IR and OCT images for dropout detected on IR imaging was 49.45% (43 and 93 cases in group I and II, respectively). Loss of the meibomian glands on both IR and OCT imaging (Group III) was observed in 50.55% cases (133 and 6 cases of gland dropout at the partial and whole eyelid on IR imaging, respectively). The proportion of disagreement between IR and OCT images (Group I and II) was higher in the middle area (63/119, 53.39%), as compared to that in the nasal (34/73, 46.58%) or temporal areas of the eyelid (26/65, 40%).
CONCLUSIONS: The loss of the meibomian glands, as observed on IR imaging, should be carefully interpreted, and OCT images may be useful to confirm the anatomic details of the meibomian glands.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dry Eye Syndromes; Meibomian Glands; Optical Coherence Tomography

Mesh:

Year:  2016        PMID: 27816570     DOI: 10.1016/j.jtos.2016.10.001

Source DB:  PubMed          Journal:  Ocul Surf        ISSN: 1542-0124            Impact factor:   5.033


  5 in total

1.  Grading and baseline characteristics of meibomian glands in meibography images and their clinical associations in the Dry Eye Assessment and Management (DREAM) study.

Authors:  Ebenezer Daniel; Maureen G Maguire; Maxwell Pistilli; Vatinee Y Bunya; Giacomina M Massaro-Giordano; Eli Smith; Pooja A Kadakia; Penny A Asbell
Journal:  Ocul Surf       Date:  2019-04-22       Impact factor: 5.033

2.  Quantifying Meibomian Gland Morphology Using Artificial Intelligence.

Authors:  Jiayun Wang; Shixuan Li; Thao N Yeh; Rudrasis Chakraborty; Andrew D Graham; Stella X Yu; Meng C Lin
Journal:  Optom Vis Sci       Date:  2021-09-01       Impact factor: 2.106

3.  Noncontact Meibography in Patients with Keratoconus.

Authors:  Engy Mohamed Mostafa; Marwa Mahmoud Abdellah; Ashraf Mostafa Elhawary; Amr Mounir
Journal:  J Ophthalmol       Date:  2019-06-02       Impact factor: 1.909

Review 4.  A review of meibography for a refractive surgeon.

Authors:  Krishna Poojita Vunnava; Naren Shetty; Kamal B Kapur
Journal:  Indian J Ophthalmol       Date:  2020-12       Impact factor: 1.848

5.  Commentary: Meibomian gland dysfunction and ocular surface analysis.

Authors:  Abhishek Dave
Journal:  Indian J Ophthalmol       Date:  2022-05       Impact factor: 2.969

  5 in total

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