Literature DB >> 15223803

Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes.

Christopher Bowd1, Linda M Zangwill, Felipe A Medeiros, Jiucang Hao, Kwokleung Chan, Te-Won Lee, Terrence J Sejnowski, Michael H Goldbaum, Pamela A Sample, Jonathan G Crowston, Robert N Weinreb.   

Abstract

PURPOSE: To determine whether Heidelberg Retina Tomograph (HRT; Heidelberg Engineering, Dossenheim, Germany) classification techniques and investigational support vector machine (SVM) analyses can detect optic disc abnormalities in glaucoma-suspect eyes before the development of visual field abnormalities.
METHODS: Glaucoma-suspect eyes (n = 226) were classified as converts or nonconverts based on the development of repeatable (either two or three consecutive) standard automated perimetry (SAP)-detected abnormalities over the course of the study (mean follow-up, approximately 4.5 years). Hazard ratios for development of SAP abnormalities were calculated based on baseline classification results, follow-up time, and end point status (convert, nonconvert). Classification techniques applied were HRT classification (HRTC), Moorfields Regression Analysis, forward-selection optimized SVM (SVM fwd) and backward elimination-optimized SVM (SVM back) analysis of HRT data, and stereophotograph assessment.
RESULTS: Univariate analyses indicated that all classification techniques were predictors of the development of two repeatable abnormal SAP results, with hazards ratios (95% confidence interval [CI]) ranging from 1.32 (1.00-1.75) for HRTC to 2.0 (1.48-2.76) for stereophotograph assessment (all P < or = 0.05). Only SVM (SVM fwd and SVM back) analysis of HRT data and stereophotograph assessment were univariate predictors of the development of three repeatable abnormal SAP results, with hazard ratios (95% CI) ranging from 1.73 (1.16-2.82) for SVM fwd to 1.82 (1.19-3.12) for SVM back (both P < 0.007). Multivariate analyses including each classification technique individually in a model with age, baseline SAP pattern standard deviation [PSD], and baseline IOP indicated that all classification techniques except HRTC (P = 0.06) were predictors of the development of two repeatable abnormal SAP results with hazards ratios ranging from 1.30 (0.99, 1.73) for HRTC to 1.90 (1.37, 2.69) for stereophotograph assessment. Only SVM (SVM fwd and SVM back) analysis of HRT data and stereophotograph assessment were significant predictors of the development of three repeatable abnormal SAP results in multivariate analyses; hazard ratios of 1.57 (1.03, 2.59) and 1.70 (1.18, 2.51), respectively. SAP PSD was a significant predictor of two repeatable abnormal SAP results in multivariate models with all classification techniques, with hazard ratios ranging from 3.31 (1.39, 7.89) to 4.70 (2.02, 10.93) per 1-dB increase.
CONCLUSIONS: HRT classifications techniques and stereophotograph assessment can detect optic disc topography abnormalities in glaucoma-suspect eyes before the development of SAP abnormalities. These data support strongly the importance of optic disc examination for early glaucoma diagnosis.

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Mesh:

Year:  2004        PMID: 15223803      PMCID: PMC2928388          DOI: 10.1167/iovs.03-1087

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


  26 in total

1.  Age, gender, IOP, refraction and optic disc topography in normal eyes. A cross-sectional study using raster and scanning laser tomography.

Authors:  K G Gundersen; A Heijl; B Bengtsson
Journal:  Acta Ophthalmol Scand       Date:  1998-04

2.  The effect of optic disc size on diagnostic precision with the Heidelberg retina tomograph.

Authors:  M Iester; F S Mikelberg; S M Drance
Journal:  Ophthalmology       Date:  1997-03       Impact factor: 12.079

3.  Short-term change of optic nerve head topography after trabeculectomy in adult glaucoma patients as measured by Heidelberg retina tomograph.

Authors:  K H Park; D M Kim; D H Youn
Journal:  Korean J Ophthalmol       Date:  1997-06

4.  Effect of repetitive imaging on topographic measurements of the optic nerve head.

Authors:  R N Weinreb; M Lusky; D U Bartsch; D Morsman
Journal:  Arch Ophthalmol       Date:  1993-05

5.  The nerve fiber layer in the diagnosis of glaucoma.

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Journal:  Arch Ophthalmol       Date:  1977-12

6.  Optic nerve damage in human glaucoma. III. Quantitative correlation of nerve fiber loss and visual field defect in glaucoma, ischemic neuropathy, papilledema, and toxic neuropathy.

Authors:  H A Quigley; E M Addicks; W R Green
Journal:  Arch Ophthalmol       Date:  1982-01

Review 7.  Evaluating the optic disc and retinal nerve fiber layer in glaucoma. II: Optical image analysis.

Authors:  L M Zangwill; C Bowd; R N Weinreb
Journal:  Semin Ophthalmol       Date:  2000-12       Impact factor: 1.975

8.  Progression of disc and field damage in early glaucoma.

Authors:  T G Zeyen; J Caprioli
Journal:  Arch Ophthalmol       Date:  1993-01

9.  Early detection of glaucomatous damage. II. Changes in the appearance of the optic disk.

Authors:  H A Quigley
Journal:  Surv Ophthalmol       Date:  1985 Sep-Oct       Impact factor: 6.048

10.  Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers.

Authors:  Linda M Zangwill; Kwokleung Chan; Christopher Bowd; Jicuang Hao; Te-Won Lee; Robert N Weinreb; Terrence J Sejnowski; Michael H Goldbaum
Journal:  Invest Ophthalmol Vis Sci       Date:  2004-09       Impact factor: 4.799

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  17 in total

1.  Optic disc imaging in perimetrically normal eyes of glaucoma patients with unilateral field loss.

Authors:  Joseph Caprioli; Kouros Nouri-Mahdavi; Simon K Law; Federico Badalà
Journal:  Trans Am Ophthalmol Soc       Date:  2006

2.  Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurements.

Authors:  Christopher Bowd; Intae Lee; Michael H Goldbaum; Madhusudhanan Balasubramanian; Felipe A Medeiros; Linda M Zangwill; Christopher A Girkin; Jeffrey M Liebmann; Robert N Weinreb
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-04-30       Impact factor: 4.799

3.  Some dissociating factors in the analysis of structural and functional progressive damage in open-angle glaucoma.

Authors:  C J W Hudson; L S Kim; S A Hancock; I A Cunliffe; J M Wild
Journal:  Br J Ophthalmol       Date:  2006-10-18       Impact factor: 4.638

Review 4.  Clinical application of ocular imaging.

Authors:  Zach Nadler; Gadi Wollstein; Hiroshi Ishikawa; Joel S Schuman
Journal:  Optom Vis Sci       Date:  2012-05       Impact factor: 1.973

5.  Evaluating objective and subjective quantitative parameters at the initial visit to predict future glaucomatous visual field progression.

Authors:  Allison K Ungar; Gadi Wollstein; Hiroshi Ishikawa; Lindsey S Folio; Yun Ling; Richard A Bilonick; Robert J Noecker; Juan Xu; Larry Kagemann; Cynthia Mattox; Joel S Schuman
Journal:  Ophthalmic Surg Lasers Imaging       Date:  2012-05-31

6.  Comparison of HRT-3 glaucoma probability score and subjective stereophotograph assessment for prediction of progression in glaucoma.

Authors:  Luciana M Alencar; Christopher Bowd; Robert N Weinreb; Linda M Zangwill; Pamela A Sample; Felipe A Medeiros
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-05       Impact factor: 4.799

Review 7.  Diagnostic tools for glaucoma detection and management.

Authors:  Pooja Sharma; Pamela A Sample; Linda M Zangwill; Joel S Schuman
Journal:  Surv Ophthalmol       Date:  2008-11       Impact factor: 6.048

8.  Optic nerve head and retinal nerve fiber layer analysis: a report by the American Academy of Ophthalmology.

Authors:  Shan C Lin; Kuldev Singh; Henry D Jampel; Elizabeth A Hodapp; Scott D Smith; Brian A Francis; David K Dueker; Robert D Fechtner; John S Samples; Joel S Schuman; Don S Minckler
Journal:  Ophthalmology       Date:  2007-10       Impact factor: 12.079

9.  Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers.

Authors:  Lyne Racette; Christine Y Chiou; Jiucang Hao; Christopher Bowd; Michael H Goldbaum; Linda M Zangwill; Te-Won Lee; Robert N Weinreb; Pamela A Sample
Journal:  J Glaucoma       Date:  2010-03       Impact factor: 2.503

10.  Assessing visual field clustering schemes using machine learning classifiers in standard perimetry.

Authors:  Catherine Boden; Kwokleung Chan; Pamela A Sample; Jiucang Hao; Te-Wan Lee; Linda M Zangwill; Robert N Weinreb; Michael H Goldbaum
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-12       Impact factor: 4.799

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