Literature DB >> 22525129

Infrared imaging of meibomian gland structure using a novel keratograph.

Sruthi Srinivasan1, Kara Menzies, Luigina Sorbara, Lyndon Jones.   

Abstract

PURPOSE: To examine the ability of a novel non-contact device (Keratograph 4) to image the meibomian gland (MG) structures and their morphological changes in the upper and lower eyelids.
METHODS: Thirty-seven participants (mean age 57.8 ± 8.5 years; 3 males and 34 females) completed the Ocular Surface Disease Index questionnaire to assess dryness symptoms. Meibum secretion quality score, number of blocked gland orifices, and meibum expressibility scores were assessed. The lower lid (LL) and upper lid (UL) of all subjects were everted and images of the MGs were taken using the Keratograph 4 (OCULUS). A MG dropout score (MGDS) due to complete or partial gland loss of both lids was obtained using a subjective 4-grade scoring system, and digital analysis of the images using ImageJ was performed. Presence of tortuosity and visible acinar changes of the MGs were also noted.
RESULTS: MGDS for both lids was significantly positively correlated with the Ocular Surface Disease Index score (r = 0.51; p < 0.05). The MGDS determined using the digital grading was also significantly positively correlated (UL: r = 0.68, p < 0.05; LL: r = 0.42, p < 0.05). The sum of the MGDS for both lids using the subjective grading scale was significantly different between the non-MGD and MGD group (1.3 ± 1.0 vs. 3.1 ± 1.1; p = 0.0004). MGDS assessment using the digital grading was significantly different between non-MGD (UL = 6%, LL = 8%) and MGD group (UL = 32%, LL = 42%; p = 0.001). Tortuous MG was observed only on the UL in 6% of the participants. Visible acinar changes were noted in 40% of the study participants.
CONCLUSIONS: Infrared meibography is now possible in a clinical setting using commercially available devices, and meibography can help determine differences in MG structure in subjects symptomatic of dry eye.

Entities:  

Mesh:

Year:  2012        PMID: 22525129     DOI: 10.1097/OPX.0b013e318253de93

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


  35 in total

1.  Tear cytokine profile as a noninvasive biomarker of inflammation for ocular surface diseases: standard operating procedures.

Authors:  Yi Wei; Neha Gadaria-Rathod; Seth Epstein; Penny Asbell
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-12-23       Impact factor: 4.799

2.  Clinical features and treatment outcomes of patients with tearing after chemotherapy.

Authors:  Jinhwan Park; Joohyun Kim; Sehyun Baek
Journal:  Eye (Lond)       Date:  2018-12-10       Impact factor: 3.775

3.  Meibomian glands visibility assessment through a new quantitative method.

Authors:  José Vicente García-Marqués; Santiago García-Lázaro; Noelia Martínez-Albert; Alejandro Cerviño
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-01-06       Impact factor: 3.117

4.  Changes of meibomian glands in patients with type 2 diabetes mellitus.

Authors:  Tao Yu; Wei-Yun Shi; Ai-Ping Song; Yang Gao; Guang-Fu Dang; Gang Ding
Journal:  Int J Ophthalmol       Date:  2016-12-18       Impact factor: 1.779

5.  Tear eicosanoids in healthy people and ocular surface disease.

Authors:  Yohannes Abere Ambaw; Cecilia Chao; Shanshan Ji; Manfred Raida; Federico Torta; Markus R Wenk; Louis Tong
Journal:  Sci Rep       Date:  2018-07-26       Impact factor: 4.379

6.  In vivo confocal microscopy classification in the diagnosis of meibomian gland dysfunction.

Authors:  Matthieu Randon; Vittoria Aragno; Rachid Abbas; Hong Liang; Antoine Labbé; Christophe Baudouin
Journal:  Eye (Lond)       Date:  2018-12-12       Impact factor: 3.775

7.  Meibomian gland atrophy with duration of Sjogren's syndrome in adult females.

Authors:  Sung Rae Noh; Jae Lim Chung; Jeong Min Lee; Kyoung Yul Seo; Kyungmin Koh
Journal:  Int Ophthalmol       Date:  2021-08-19       Impact factor: 2.031

8.  Manifestation of meibomian gland dysfunction in patients with Sjögren's syndrome, non-Sjögren's dry eye, and non-dry eye controls.

Authors:  Yeon Soo Kang; Hyo Seok Lee; Ying Li; Won Choi; Kyung Chul Yoon
Journal:  Int Ophthalmol       Date:  2017-05-31       Impact factor: 2.031

9.  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

10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.