Literature DB >> 25447111

Advanced imaging for glaucoma study: design, baseline characteristics, and inter-site comparison.

Phuc V Le1, Xinbo Zhang2, Brian A Francis3, Rohit Varma1, David S Greenfield4, Joel S Schuman5, Nils Loewen5, David Huang6.   

Abstract

PURPOSE: To report the baseline characteristics of the participants in the Advanced Imaging for Glaucoma Study. To compare the participating sites for variations among subjects and the performance of imaging instruments.
DESIGN: Multicenter longitudinal observational cohort study.
METHODS: A total of 788 participants (1329 eyes) were enrolled from 3 academic referral centers. There were 145 participants (289 eyes) in the normal group, 394 participants (663 eyes) in the glaucoma suspect/preperimetric glaucoma group, and 249 participants (377 eyes) in the perimetric glaucoma group. Participants underwent a full clinical examination, standard automated perimetry, and imaging with time-domain and Fourier-domain optical coherence tomography (OCT), scanning laser polarimetry, and confocal scanning laser ophthalmoscopy. The baseline average, population standard deviation, and repeatability of imaging-derived anatomic variables were reported for each technology and center.
RESULTS: Compared to the normal participants, glaucoma suspect/preperimetric glaucoma and perimetric glaucoma groups had significantly reduced anatomic measurements. Repeatability of nerve fiber layer thickness was best for Fourier-domain OCT (overall coefficient of variation <2%), followed by time-domain OCT (coefficient of variation 2%-2.9%), scanning laser polarimetry (coefficient of variation 2.6%-4.5%), and confocal scanning laser ophthalmoscopy rim area (coefficient of variation 4.2%-7.6%). A mixed-effects model showed that the differences between sites was less than 25 percent of the variation within groups and less than the differences between the normal and glaucoma suspect/preperimetric glaucoma group.
CONCLUSIONS: Site-to-site variation was smaller than both the variation within groups and the changes attributable to glaucoma. Therefore pooling of participants between sites is appropriate.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25447111      PMCID: PMC4277893          DOI: 10.1016/j.ajo.2014.11.010

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  33 in total

1.  Discriminating between normal and glaucomatous eyes using the Heidelberg Retina Tomograph, GDx Nerve Fiber Analyzer, and Optical Coherence Tomograph.

Authors:  L M Zangwill; C Bowd; C C Berry; J Williams; E Z Blumenthal; C A Sánchez-Galeana; C Vasile; R N Weinreb
Journal:  Arch Ophthalmol       Date:  2001-07

2.  Impact of age-related change of retinal nerve fiber layer and macular thicknesses on evaluation of glaucoma progression.

Authors:  Christopher K S Leung; Cong Ye; Robert N Weinreb; Marco Yu; Gilda Lai; Dennis S Lam
Journal:  Ophthalmology       Date:  2013-08-30       Impact factor: 12.079

3.  An enhancement module to improve the atypical birefringence pattern using scanning laser polarimetry with variable corneal compensation.

Authors:  M Sehi; D C Guaqueta; D S Greenfield
Journal:  Br J Ophthalmol       Date:  2006-02-15       Impact factor: 4.638

4.  The ocular hypertension treatment study.

Authors:  M A Kass
Journal:  J Glaucoma       Date:  1994       Impact factor: 2.503

5.  Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a prospective analysis of age-related loss.

Authors:  Christopher K S Leung; Marco Yu; Robert N Weinreb; Cong Ye; Shu Liu; Gilda Lai; Dennis S C Lam
Journal:  Ophthalmology       Date:  2012-01-20       Impact factor: 12.079

6.  Association between scanning laser polarimetry measurements using variable corneal polarization compensation and visual field sensitivity in glaucomatous eyes.

Authors:  Christopher Bowd; Linda M Zangwill; Robert N Weinreb
Journal:  Arch Ophthalmol       Date:  2003-07

7.  The Heidelberg retina tomograph ancillary study to the European glaucoma prevention study: study design and baseline factors.

Authors:  Esther M Hoffmann; Stefano Miglior; Thierry Zeyen; Valter Torri; Eliana Rulli; Shakhsanam Aliyeva; Irene Floriani; José Cunha-Vaz; Norbert Pfeiffer
Journal:  Acta Ophthalmol       Date:  2013-05-25       Impact factor: 3.761

8.  Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss.

Authors:  A Sommer; J Katz; H A Quigley; N R Miller; A L Robin; R C Richter; K A Witt
Journal:  Arch Ophthalmol       Date:  1991-01

9.  Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography.

Authors:  Ou Tan; Vikas Chopra; Ake Tzu-Hui Lu; Joel S Schuman; Hiroshi Ishikawa; Gadi Wollstein; Rohit Varma; David Huang
Journal:  Ophthalmology       Date:  2009-09-10       Impact factor: 12.079

Review 10.  Imaging of the retinal nerve fibre layer for glaucoma.

Authors:  K A Townsend; G Wollstein; J S Schuman
Journal:  Br J Ophthalmol       Date:  2008-11-21       Impact factor: 4.638

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  15 in total

Review 1.  Future opportunities in diabetic retinopathy research.

Authors:  Thomas W Gardner; Emily Y Chew
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2016-04       Impact factor: 3.243

Review 2.  Parameters of ocular fundus on spectral-domain optical coherence tomography for glaucoma diagnosis.

Authors:  Yu-Lin Tao; Li-Ming Tao; Zheng-Xuan Jiang; He-Ting Liu; Kun Liang; Mo-Han Li; Xuan-Sheng Zhu; Yan-Lin Ren; Bing-Jie Cui
Journal:  Int J Ophthalmol       Date:  2017-06-18       Impact factor: 1.779

3.  Characterizing relationship between optical microangiography signals and capillary flow using microfluidic channels.

Authors:  Woo June Choi; Wan Qin; Chieh-Li Chen; Jingang Wang; Qinqin Zhang; Xiaoqi Yang; Bruce Z Gao; Ruikang K Wang
Journal:  Biomed Opt Express       Date:  2016-06-20       Impact factor: 3.732

4.  Optical coherence tomography angiography enhances the detection of optic nerve damage in multiple sclerosis.

Authors:  Rebecca I Spain; Liang Liu; Xinbo Zhang; Yali Jia; Ou Tan; Dennis Bourdette; David Huang
Journal:  Br J Ophthalmol       Date:  2017-08-16       Impact factor: 4.638

5.  Predicting Development of Glaucomatous Visual Field Conversion Using Baseline Fourier-Domain Optical Coherence Tomography.

Authors:  Xinbo Zhang; Nils Loewen; Ou Tan; David S Greenfield; Joel S Schuman; Rohit Varma; David Huang
Journal:  Am J Ophthalmol       Date:  2015-11-26       Impact factor: 5.258

6.  Predictive Factors for the Rate of Visual Field Progression in the Advanced Imaging for Glaucoma Study.

Authors:  Xinbo Zhang; Richard K Parrish; David S Greenfield; Brian A Francis; Rohit Varma; Joel S Schuman; Ou Tan; David Huang
Journal:  Am J Ophthalmol       Date:  2019-02-20       Impact factor: 5.258

7.  Baseline Fourier-Domain Optical Coherence Tomography Structural Risk Factors for Visual Field Progression in the Advanced Imaging for Glaucoma Study.

Authors:  Xinbo Zhang; Anna Dastiridou; Brian A Francis; Ou Tan; Rohit Varma; David S Greenfield; Joel S Schuman; Mitra Sehi; Vikas Chopra; David Huang
Journal:  Am J Ophthalmol       Date:  2016-09-17       Impact factor: 5.258

8.  Comparison of Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field.

Authors:  Xinbo Zhang; Anna Dastiridou; Brian A Francis; Ou Tan; Rohit Varma; David S Greenfield; Joel S Schuman; David Huang
Journal:  Am J Ophthalmol       Date:  2017-09-28       Impact factor: 5.258

9.  Longitudinal and Cross-Sectional Analyses of Age Effects on Retinal Nerve Fiber Layer and Ganglion Cell Complex Thickness by Fourier-Domain OCT.

Authors:  Xinbo Zhang; Brian A Francis; Anna Dastiridou; Vikas Chopra; Ou Tan; Rohit Varma; David S Greenfield; Joel S Schuman; David Huang
Journal:  Transl Vis Sci Technol       Date:  2016-03-04       Impact factor: 3.283

10.  Focal Loss Analysis of Nerve Fiber Layer Reflectance for Glaucoma Diagnosis.

Authors:  Ou Tan; Liang Liu; Qisheng You; Jie Wang; Aiyin Chen; Eliesa Ing; John C Morrison; Yali Jia; David Huang
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

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