Literature DB >> 22488268

A review of meibography.

Heiko Pult1, Jason J Nichols.   

Abstract

Meibomian gland dysfunction is one of the most common causes of dry eye resulting in morphology changes to the meibomian glands. Meibography provides an in vivo means to assess the structure of the meibomian gland. Over the past 40 years, meibography has undergone significant development regarding its application to research and clinical practice. This review describes the evolution of the various meibography techniques, grading methods, and their diagnostic relevance.

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Year:  2012        PMID： 22488268     DOI： 10.1097/OPX.0b013e3182512ac1

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN： 1040-5488            Impact factor:   1.973


  39 in total

1.  Effects of Omega-3 Supplementation on Exploratory Outcomes in the Dry Eye Assessment and Management Study.

Authors:  Marko Oydanich; Maureen G Maguire; Maxwell Pistilli; Pedram Hamrah; Jack V Greiner; Meng C Lin; Penny A Asbell
Journal:  Ophthalmology       Date:  2019-07-25       Impact factor: 12.079

2.  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

3.  A novel noninvasive ocular surface analyzer for the assessment of dry eye with Meibomian gland dysfunction.

Authors:  Yuanyuan Qi; Chen Zhang; Shaozhen Zhao; Yue Huang; Ruibo Yang
Journal:  Exp Ther Med       Date:  2017-04-19       Impact factor: 2.447

4.  Crosslinked hyaluronic acid with liposomes and crocin for management symptoms of dry eye disease caused by moderate meibomian gland dysfunction.

Authors:  José-María Sánchez-González; Concepción De-Hita-Cantalejo; María Carmen Sánchez-González
Journal:  Int J Ophthalmol       Date:  2020-09-18       Impact factor: 1.779

5.  Light transmission/absorption characteristics of the meibomian gland.

Authors:  Ho Sik Hwang; Yilu Xie; Elena Koudouna; Kyung-Sun Na; Young-Sik Yoo; Suk-Woo Yang; Donald J Brown; James V Jester
Journal:  Ocul Surf       Date:  2018-07-03       Impact factor: 5.033

6.  Meibomian gland dropout in Sjögren's syndrome and non-Sjögren's dry eye patients.

Authors:  Siwen Zang; Ying Cui; Yang Cui; Wenlei Fei
Journal:  Eye (Lond)       Date:  2018-06-22       Impact factor: 3.775

7.  A Novel Automated Approach for Infrared-Based Assessment of Meibomian Gland Morphology.

Authors:  Clara Llorens-Quintana; Laura Rico-Del-Viejo; Piotr Syga; David Madrid-Costa; D Robert Iskander
Journal:  Transl Vis Sci Technol       Date:  2019-08-02       Impact factor: 3.283

8.  An automated and multiparametric algorithm for objective analysis of meibography images.

Authors:  Peng Xiao; Zhongzhou Luo; Yuqing Deng; Gengyuan Wang; Jin Yuan
Journal:  Quant Imaging Med Surg       Date:  2021-04

9.  In Vivo 3D Meibography of the Human Eyelid Using Real Time Imaging Fourier-Domain OCT.

Authors:  Ho Sik Hwang; Jun Geun Shin; Byeong Ha Lee; Tae Joong Eom; Choun-Ki Joo
Journal:  PLoS One       Date:  2013-06-21       Impact factor: 3.240

10.  A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images.

Authors:  Jiayun Wang; Thao N Yeh; Rudrasis Chakraborty; Stella X Yu; Meng C Lin
Journal:  Transl Vis Sci Technol       Date:  2019-12-18       Impact factor: 3.283
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