Literature DB >> 22776920

Understanding disparities among diagnostic technologies in glaucoma.

Carlos Gustavo V De Moraes1, Jeffrey M Liebmann, Robert Ritch, Donald C Hood.   

Abstract

OBJECTIVE: To investigate causes of disagreement among 3 glaucoma diagnostic techniques: standard automated achromatic perimetry (SAP), the multifocal visual evoked potential technique (mfVEP), and optical coherence tomography (OCT).
METHODS: In a prospective cross-sectional study, 138 eyes of 69 patients with glaucomatous optic neuropathy were tested using SAP, the mfVEP, and OCT. Eyes with the worse and better mean deviations (MDs) were analyzed separately. If the results of 2 tests were consistent for the presence of an abnormality in the same topographic site, that abnormality was considered a true glaucoma defect. If a third test missed that abnormality (false-negative result), the reasons for disparity were investigated.
RESULTS: Eyes with worse MD (mean [SD], -6.8 [8.0] dB) had better agreements among tests than did eyes with better MD (-2.5 [3.5] dB, P<.01). For the 94 of 138 hemifields with abnormalities of the more advanced eyes, the 3 tests were consistent in showing the same hemifield abnormality in 50 hemifields (53%), and at least 2 tests were abnormal in 65 of the 94 hemifields (69%). The potential explanations for the false-negative results fell into 2 general categories: inherent limitations of each technique to detect distinct features of glaucoma and individual variability and the distribution of normative values used to define statistically significant abnormalities.
CONCLUSIONS: All the cases of disparity could be explained by known limitations of each technique and interindividual variability, suggesting that the agreement among diagnostic tests may be better than summary statistics suggest and that disagreements between tests do not indicate discordance in the structure-function relationship.

Entities:  

Mesh:

Year:  2012        PMID: 22776920      PMCID: PMC3498487          DOI: 10.1001/archophthalmol.2012.786

Source DB:  PubMed          Journal:  Arch Ophthalmol        ISSN: 0003-9950


  27 in total

Review 1.  Multifocal VEP and ganglion cell damage: applications and limitations for the study of glaucoma.

Authors:  Donald C Hood; Vivienne C Greenstein
Journal:  Prog Retin Eye Res       Date:  2003-03       Impact factor: 21.198

2.  Structure-function relationships using confocal scanning laser ophthalmoscopy, optical coherence tomography, and scanning laser polarimetry.

Authors:  Christopher Bowd; Linda M Zangwill; Felipe A Medeiros; Ivan M Tavares; Esther M Hoffmann; Rupert R Bourne; Pamela A Sample; Robert N Weinreb
Journal:  Invest Ophthalmol Vis Sci       Date:  2006-07       Impact factor: 4.799

3.  The role of OCT in glaucoma management.

Authors:  Monica M Pagliara; Domenico Lepore; Emilio Balestrazzi
Journal:  Prog Brain Res       Date:  2008       Impact factor: 2.453

4.  Detection of glaucoma with scanning laser polarimetry.

Authors:  R N Weinreb; L Zangwill; C C Berry; R Bathija; P A Sample
Journal:  Arch Ophthalmol       Date:  1998-12

5.  Baseline optical coherence tomography predicts the development of glaucomatous change in glaucoma suspects.

Authors:  Maziar Lalezary; Felipe A Medeiros; Robert N Weinreb; Christopher Bowd; Pamela A Sample; Ivan M Tavares; Ali Tafreshi; Linda M Zangwill
Journal:  Am J Ophthalmol       Date:  2006-10       Impact factor: 5.258

6.  Influence of disease severity and optic disc size on the diagnostic performance of imaging instruments in glaucoma.

Authors:  Felipe A Medeiros; Linda M Zangwill; Christopher Bowd; Pamela A Sample; Robert N Weinreb
Journal:  Invest Ophthalmol Vis Sci       Date:  2006-03       Impact factor: 4.799

7.  Normative ranges and specificity of the multifocal VEP.

Authors:  Brad Fortune; Xian Zhang; Donald C Hood; Shaban Demirel; Chris A Johnson
Journal:  Doc Ophthalmol       Date:  2004-07       Impact factor: 2.379

8.  Comparing multifocal VEP and standard automated perimetry in high-risk ocular hypertension and early glaucoma.

Authors:  Brad Fortune; Shaban Demirel; Xian Zhang; Donald C Hood; Emily Patterson; Annisa Jamil; Steven L Mansberger; George A Cioffi; Chris A Johnson
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-03       Impact factor: 4.799

9.  Comparison of the GDx VCC scanning laser polarimeter, HRT II confocal scanning laser ophthalmoscope, and stratus OCT optical coherence tomograph for the detection of glaucoma.

Authors:  Felipe A Medeiros; Linda M Zangwill; Christopher Bowd; Robert N Weinreb
Journal:  Arch Ophthalmol       Date:  2004-06

10.  Ranked-segment distribution curve for interpretation of optic nerve topography.

Authors:  S Asawaphureekorn; L Zangwill; R N Weinreb
Journal:  J Glaucoma       Date:  1996-04       Impact factor: 2.503

View more
  8 in total

1.  Comparative glaucomatous diagnosis using macular optical coherence tomography and perimetry with centrally condensed stimuli: English version.

Authors:  A Sturm; W Noske
Journal:  Ophthalmologe       Date:  2016-02       Impact factor: 1.059

Review 2.  [Correlation of morphological and functional glaucoma diagnostics with macular OCT and perimetry with centrally condensed stimuli: German version].

Authors:  A Sturm; W Noske
Journal:  Ophthalmologe       Date:  2015-08       Impact factor: 1.059

3.  The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans.

Authors:  Paula A Alhadeff; Carlos G De Moraes; Monica Chen; Ali S Raza; Robert Ritch; Donald C Hood
Journal:  J Glaucoma       Date:  2017-05       Impact factor: 2.503

4.  Comparing three different modes of electroretinography in experimental glaucoma: diagnostic performance and correlation to structure.

Authors:  Laura Wilsey; Sowjanya Gowrisankaran; Grant Cull; Christy Hardin; Claude F Burgoyne; Brad Fortune
Journal:  Doc Ophthalmol       Date:  2017-02-27       Impact factor: 2.379

5.  Glaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiers.

Authors:  Christopher Bowd; Robert N Weinreb; Madhusudhanan Balasubramanian; Intae Lee; Giljin Jang; Siamak Yousefi; Linda M Zangwill; Felipe A Medeiros; Christopher A Girkin; Jeffrey M Liebmann; Michael H Goldbaum
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

6.  Relationship between Retinal Nerve Fiber Layer Thickness and Hemoglobin Present in the Optic Nerve Head in Glaucoma.

Authors:  Marta Gonzalez-Hernandez; Jose Sigut Saavedra; Manuel Gonzalez de la Rosa
Journal:  J Ophthalmol       Date:  2017-06-04       Impact factor: 1.909

Review 7.  On improving the use of OCT imaging for detecting glaucomatous damage.

Authors:  Donald C Hood; Ali S Raza
Journal:  Br J Ophthalmol       Date:  2014-07       Impact factor: 4.638

8.  Comparing ganglion cell-inner plexiform layer thickness with focal and global responses on multifocal electroretinogram in glaucoma.

Authors:  Aparna Rao; Rohit V Chandrashekhar; Debananda Padhy; Sujoy Mukherjee; Gopinath Das; Sarada Sarangi
Journal:  Oman J Ophthalmol       Date:  2017 Sep-Dec
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.