Literature DB >> 23722389

Macular ganglion cell imaging study: glaucoma diagnostic accuracy of spectral-domain optical coherence tomography.

Jin Wook Jeoung1, Yun Jeong Choi, Ki Ho Park, Dong Myung Kim.   

Abstract

PURPOSE: We evaluated the diagnostic accuracy of macular ganglion cell-inner plexiform layer (GCIPL) measurements using a high-definition optical coherence tomography (Cirrus HD-OCT) ganglion cell analysis algorithm for detecting early and moderate-to-severe glaucoma.
METHODS: Totals of 119 normal subjects and 306 glaucoma patients (164 patients with early glaucoma and 142 with moderate-to-severe glaucoma) were enrolled from the Macular Ganglion Cell Imaging Study. Macular GCIPL, peripapillary retinal nerve fiber layer (RNFL) thickness, and optic nerve head (ONH) parameters were measured in each subject. Areas under the receiver operating characteristic curves (AUROCs) were calculated and compared. Based on the internal normative database, the sensitivity and specificity for detecting early and moderate-to-severe glaucoma were calculated.
RESULTS: There was no statistically significant difference between the AUROCs for the best OCT parameters. For detecting early glaucoma, the sensitivity of the Cirrus GCIPL parameters ranged from 26.8% to 73.2% and that of the Cirrus RNFL parameters ranged from 6.1% to 61.6%. For the early glaucoma group, the best parameter from the GCIPL generally had a higher sensitivity than those of the RNFL and ONH parameters with comparable specificity (P < 0.05, McNemar's test).
CONCLUSIONS: There were no significant differences between the AUROCs for Cirrus GCIPL, RNFL, and ONH parameters, indicating that these maps have similar diagnostic potentials for glaucoma. The minimum GCIPL showed better glaucoma diagnostic performance than the other parameters at comparable specificities. However, other GCIPL parameters showed performances comparable to those of the RNFL parameters.

Entities:  

Keywords:  glaucoma; inner plexiform layer; optical coherence tomography; retinal ganglion cell

Mesh:

Year:  2013        PMID: 23722389     DOI: 10.1167/iovs.12-11273

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  57 in total

1.  Optical Coherence Tomography Angiography Compared With Optical Coherence Tomography Macular Measurements for Detection of Glaucoma.

Authors:  Kelvin H Wan; Alexander K N Lam; Christopher Kai-Shun Leung
Journal:  JAMA Ophthalmol       Date:  2018-08-01       Impact factor: 7.389

Review 2.  A comprehensive review of diagnostic imaging technologies to evaluate the retina and the optic disk.

Authors:  Asima Bajwa; Rabia Aman; Ashvini K Reddy
Journal:  Int Ophthalmol       Date:  2015-06-05       Impact factor: 2.031

3.  Population-based evaluation of retinal nerve fiber layer, retinal ganglion cell layer, and inner plexiform layer as a diagnostic tool for glaucoma.

Authors:  Henriët Springelkamp; Kyungmoo Lee; Roger C W Wolfs; Gabriëlle H S Buitendijk; Wishal D Ramdas; Albert Hofman; Johannes R Vingerling; Caroline C W Klaver; Michael D Abràmoff; Nomdo M Jansonius
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-11-20       Impact factor: 4.799

4.  Short-duration transient visual evoked potentials and color reflectivity discretization analysis in glaucoma patients and suspects.

Authors:  Michael Waisbourd; Rebekah H Gensure; Ardalan Aminlari; Sonya B Shah; Nitasha Khanna; Neil Sood; Jeanne Molineaux; Alberto Gonzalez; Jonathan S Myers; L Jay Katz
Journal:  Int J Ophthalmol       Date:  2017-02-18       Impact factor: 1.779

5.  Retinal ganglion cell-inner plexiform and nerve fiber layers in neuromyelitis optica.

Authors:  Sai-Jing Hu; Pei-Rong Lu
Journal:  Int J Ophthalmol       Date:  2018-01-18       Impact factor: 1.779

6.  Comparison of changes of macular ganglion cell-inner plexiform layer defect between stable group and progression group in primary open-angle glaucoma.

Authors:  Bo Ram Seol; Byeong Wook Yoo; Young Kook Kim; Jin Wook Jeoung; Ki Ho Park
Journal:  Jpn J Ophthalmol       Date:  2018-04-25       Impact factor: 2.447

7.  Evaluating glaucoma damage: emerging imaging technologies.

Authors:  Tigran Kostanyan; Gadi Wollstein; Joel S Schuman
Journal:  Expert Rev Ophthalmol       Date:  2015-02-09

8.  Serial Combined Wide-Field Optical Coherence Tomography Maps for Detection of Early Glaucomatous Structural Progression.

Authors:  Won June Lee; Tai Jun Kim; Young Kook Kim; Jin Wook Jeoung; Ki Ho Park
Journal:  JAMA Ophthalmol       Date:  2018-10-01       Impact factor: 7.389

Review 9.  Optic nerve head and fibre layer imaging for diagnosing glaucoma.

Authors:  Manuele Michelessi; Ersilia Lucenteforte; Francesco Oddone; Miriam Brazzelli; Mariacristina Parravano; Sara Franchi; Sueko M Ng; Gianni Virgili
Journal:  Cochrane Database Syst Rev       Date:  2015-11-30

10.  One Year of Glaucoma Research in Review: 2012 to 2013.

Authors:  Charles Kim; Anna M Demetriades; Nathan M Radcliffe
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2014 Jan-Feb
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