Literature DB >> 28982950

Advances in dry eye imaging: the present and beyond.

Tommy C Y Chan1,2, Kelvin H Wan3, Kendrick C Shih4, Vishal Jhanji1,5.   

Abstract

New advances in imaging allow objective measurements for dry eye as well as define new parameters that cannot be measured by clinical assessment alone. A combination of these modalities provides unprecedented information on the static and dynamic properties of the structural and functional parameters in this multifactorial disease. A literature search was conducted to include studies investigating the use of imaging techniques in dry eye disease. This review describes the application of non-invasive tear breakup time, optical coherence tomography, meibomian gland imaging, interferometry, in vivo confocal microscopy, thermography and optical quality assessment for this condition. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  diagnostic tests/investigation; imaging; ocular surface; tears

Mesh:

Year:  2017        PMID: 28982950     DOI: 10.1136/bjophthalmol-2017-310759

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  7 in total

1.  Comprehensive Clinical, Diagnostic, and Advanced Imaging Characterization of the Ocular Surface in Spontaneous Aqueous Deficient Dry Eye Disease in Dogs.

Authors:  Brian C Leonard; Kathleen A Stewart; Gillian C Shaw; Alyssa L Hoehn; Amelia A Stanley; Christopher J Murphy; Sara M Thomasy
Journal:  Cornea       Date:  2019-12       Impact factor: 2.651

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.  Automatic identification of meibomian gland dysfunction with meibography images using deep learning.

Authors:  Yi Yu; Yiwen Zhou; Hongmei Zheng; Yanning Yang; Miao Tian; Yabiao Zhou; Yuejiao Tan; Lianlian Wu
Journal:  Int Ophthalmol       Date:  2022-09-19       Impact factor: 2.029

Review 4.  Impact of Ocular Surface Temperature on Tear Characteristics: Current Insights.

Authors:  Ankit M Shah; Anat Galor
Journal:  Clin Optom (Auckl)       Date:  2021-02-15

5.  Diagnostic tests in dry eye.

Authors:  Amy Kloosterboer; Harrison Isaac Dermer; Anat Galor
Journal:  Expert Rev Ophthalmol       Date:  2019-08-29

6.  A Novel Quantitative Index of Meibomian Gland Dysfunction, the Meibomian Gland Tortuosity.

Authors:  Xiaolei Lin; Yana Fu; Lu Li; Chaoqiao Chen; Xuewen Chen; Yingyu Mao; Hengli Lian; Weihua Yang; Qi Dai
Journal:  Transl Vis Sci Technol       Date:  2020-08-21       Impact factor: 3.283

7.  Topical citicoline and vitamin B12 versus placebo in the treatment of diabetes-related corneal nerve damage: a randomized double-blind controlled trial.

Authors:  Paolo Fogagnolo; Ettore Melardi; Laura Tranchina; Luca Rossetti
Journal:  BMC Ophthalmol       Date:  2020-08-01       Impact factor: 2.209

  7 in total

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