Literature DB >> 25444638

Diagnostic classification of macular ganglion cell and retinal nerve fiber layer analysis: differentiation of false-positives from glaucoma.

Ko Eun Kim1, Jin Wook Jeoung2, Ki Ho Park1, Dong Myung Kim1, Seok Hwan Kim3.   

Abstract

PURPOSE: To investigate the rate and associated factors of false-positive diagnostic classification of ganglion cell analysis (GCA) and retinal nerve fiber layer (RNFL) maps, and characteristic false-positive patterns on optical coherence tomography (OCT) deviation maps.
DESIGN: Prospective, cross-sectional study. PARTICIPANTS: A total of 104 healthy eyes of 104 normal participants.
METHODS: All participants underwent peripapillary and macular spectral-domain (Cirrus-HD, Carl Zeiss Meditec Inc, Dublin, CA) OCT scans. False-positive diagnostic classification was defined as yellow or red color-coded areas for GCA and RNFL maps. Univariate and multivariate logistic regression analyses were used to determine associated factors. Eyes with abnormal OCT deviation maps were categorized on the basis of the shape and location of abnormal color-coded area. Differences in clinical characteristics among the subgroups were compared. MAIN OUTCOME MEASURES: (1) The rate and associated factors of false-positive OCT maps; (2) patterns of false-positive, color-coded areas on the GCA deviation map and associated clinical characteristics.
RESULTS: Of the 104 healthy eyes, 42 (40.4%) and 32 (30.8%) showed abnormal diagnostic classifications on any of the GCA and RNFL maps, respectively. Multivariate analysis revealed that false-positive GCA diagnostic classification was associated with longer axial length and larger fovea-disc angle, whereas longer axial length and smaller disc area were associated with abnormal RNFL maps. Eyes with abnormal GCA deviation map were categorized as group A (donut-shaped round area around the inner annulus), group B (island-like isolated area), and group C (diffuse, circular area with an irregular inner margin in either). The axial length showed a significant increasing trend from group A to C (P=0.001), and likewise, the refractive error was more myopic in group C than in groups A (P=0.015) and B (P=0.014). Group C had thinner average ganglion cell-inner plexiform layer thickness compared with other groups (group A=B>C, P=0.004).
CONCLUSIONS: Abnormal OCT diagnostic classification should be interpreted with caution, especially in eyes with long axial lengths, large fovea-disc angles, and small optic discs. Our findings suggest that the characteristic patterns of OCT deviation map can provide useful clues to distinguish glaucomatous changes from false-positive findings.
Copyright © 2015 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2014        PMID: 25444638     DOI: 10.1016/j.ophtha.2014.09.031

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  33 in total

1.  DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images.

Authors:  Sripad Krishna Devalla; Prajwal K Renukanand; Bharathwaj K Sreedhar; Giridhar Subramanian; Liang Zhang; Shamira Perera; Jean-Martial Mari; Khai Sing Chin; Tin A Tun; Nicholas G Strouthidis; Tin Aung; Alexandre H Thiéry; Michaël J A Girard
Journal:  Biomed Opt Express       Date:  2018-06-25       Impact factor: 3.732

2.  Retinal ganglion cell and axonal loss in optic neuritis: risk factors and visual functions.

Authors:  T H Lee; Y S Ji; S W Park; H Heo
Journal:  Eye (Lond)       Date:  2016-11-18       Impact factor: 3.775

3.  Association of Glaucoma-Related, Optical Coherence Tomography-Measured Macular Damage With Vision-Related Quality of Life.

Authors:  Alisa J Prager; Donald C Hood; Jeffrey M Liebmann; C Gustavo De Moraes; Lama A Al-Aswad; Qi Yu; George A Cioffi; Dana M Blumberg
Journal:  JAMA Ophthalmol       Date:  2017-07-01       Impact factor: 7.389

4.  Automated Segmentation Errors When Using Optical Coherence Tomography to Measure Retinal Nerve Fiber Layer Thickness in Glaucoma.

Authors:  Steven L Mansberger; Shivali A Menda; Brad A Fortune; Stuart K Gardiner; Shaban Demirel
Journal:  Am J Ophthalmol       Date:  2016-11-04       Impact factor: 5.258

5.  Automated Beta Zone Parapapillary Area Measurement to Differentiate Between Healthy and Glaucoma Eyes.

Authors:  Patricia Isabel C Manalastas; Akram Belghith; Robert N Weinreb; Jost B Jonas; Min Hee Suh; Adeleh Yarmohammadi; Felipe A Medeiros; Christopher A Girkin; Jeffrey M Liebmann; Linda M Zangwill
Journal:  Am J Ophthalmol       Date:  2018-05-09       Impact factor: 5.258

6.  Ganglion cell analysis at acute episode of nonarteritic anterior ischemic optic neuropathy to predict irreversible damage. A prospective study.

Authors:  Elisabet De Dompablo; J García-Montesinos; F J Muñoz-Negrete; G Rebolleda
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-07-15       Impact factor: 3.117

7.  Diagnostic ability of ganglion cell complex thickness to detect glaucoma in high myopia eyes by Fourier domain optical coherence tomography.

Authors:  Wei-Wei Wang; Huai-Zhou Wang; Jian-Rong Liu; Xi-Fang Zhang; Meng Li; Yan-Jiao Huo; Xin-Guang Yang
Journal:  Int J Ophthalmol       Date:  2018-05-18       Impact factor: 1.779

8.  Commentary: Linear discriminant score for differentiating early primary open angle glaucoma from suspects.

Authors:  Sushmita Kaushik
Journal:  Indian J Ophthalmol       Date:  2019-01       Impact factor: 1.848

9.  Did the OCT Show Progression Since the Last Visit?

Authors:  Donald C Hood; Bruna Melchior; Emmanouil Tsamis; Jeffrey M Liebmann; Carlos G De Moraes
Journal:  J Glaucoma       Date:  2021-04-01       Impact factor: 2.290

10.  Optic Disc - Fovea Angle: The Beijing Eye Study 2011.

Authors:  Rahul A Jonas; Ya Xing Wang; Hua Yang; Jian Jun Li; Liang Xu; Songhomitra Panda-Jonas; Jost B Jonas
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.