Literature DB >> 17525196

The effect of disc size and severity of disease on the diagnostic accuracy of the Heidelberg Retina Tomograph Glaucoma Probability Score.

Linda M Zangwill1, Sonia Jain, Lyne Racette, Karin B Ernstrom, Christopher Bowd, Felipe A Medeiros, Pamela A Sample, Robert N Weinreb.   

Abstract

PURPOSE: To compare the effect of disc size and disease severity on the Heidelberg Retina Tomograph (HRT) Glaucoma Probability Score (GPS) and the Moorfields Regression Analysis (MRA) for discriminating between glaucomatous and healthy eyes.
METHODS: Ninety-nine eyes with repeatable standard automated perimetry results showing glaucomatous damage and 62 normal eyes were included from the longitudinal Diagnostic Innovations in Glaucoma Study (DIGS). The severity of glaucomatous visual field defects ranged from early to severe (average [95% CI] pattern standard deviation [PSD] was 5.7 [5.0-6.5] dB). The GPS (HRTII ver. 3.0; Heidelberg Engineering, Heidelberg, Germany) utilizes two measures of peripapillary retinal nerve fiber layer shape (horizontal and vertical retinal nerve fiber layer curvature) and three measures of optic nerve head shape (cup depth, rim steepness, and cup size) as input into a relevance vector machine learning classifier that estimates a probability of having glaucoma. The MRA compares measured rim area with predicted rim area adjusted for disc size to categorize eyes as outside normal limits, borderline, or within normal limits. The effect of disc size and severity of disease on the diagnostic accuracy of both GPS and MRA was evaluated using the generalized estimating equation marginal logistic regression analysis.
RESULTS: Using the manufacturers' suggested cutoffs for GPS global classification (>64% as outside normal limits), the sensitivity and specificity (95% CI) were 71.7% (62.2%-79.7%) and 82.3% (71.0%-89.8%), respectively. The sensitivity and specificity (95% CI) of the MRA result were 66.7% (58.0%-76.1%) and 88.7% (78.5%-94.34%), respectively. Likelihood ratios for regional GPS and MRA results outside normal limits ranged from 4.0 to 10.0, and 6.0 to infinity, respectively. Disc size and severity of disease were significantly associated with the sensitivity of both GPS and MRA.
CONCLUSIONS: GPS tended to have higher sensitivities and somewhat lower specificities and lower likelihood ratios than MRA. These results suggest that in this population, GPS and MRA differentiate between glaucomatous and healthy eyes with good sensitivity and specificity. In addition, the likelihood ratios suggest that GPS may be most useful for confirming a normal disc, whereas MRA may be most helpful in confirming a suspicion of glaucoma. Larger disc size and more severe field loss were associated with improved diagnostic accuracy for both GPS and MRA.

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Mesh:

Year:  2007        PMID: 17525196     DOI: 10.1167/iovs.06-1314

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


  23 in total

1.  Retinal nerve fiber layer and macular inner retina measurements by spectral domain optical coherence tomograph in Indian eyes with early glaucoma.

Authors:  H L Rao; J G Babu; U K Addepalli; S Senthil; C S Garudadri
Journal:  Eye (Lond)       Date:  2011-11-11       Impact factor: 3.775

Review 2.  Role of optic nerve imaging in glaucoma clinical practice and clinical trials.

Authors:  David S Greenfield; Robert N Weinreb
Journal:  Am J Ophthalmol       Date:  2008-03-04       Impact factor: 5.258

3.  Comparison of Heidelberg Retina Tomograph-3 glaucoma probability score and Moorfields regression analysis of optic nerve head in glaucoma patients and healthy individuals.

Authors:  Çagatay Caglar; Adem Gul; Muhammed Batur; Tekin Yasar
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-10-14       Impact factor: 3.117

4.  Retinal nerve fiber layer evaluation of spectral domain optical coherence tomograph and scanning laser polarimeter to diagnose glaucoma.

Authors:  H L Rao; R K Yadav; U K Addepalli; S Chaudhary; S Senthil; N S Choudhari; C S Garudadri
Journal:  Eye (Lond)       Date:  2014-03-07       Impact factor: 3.775

5.  Effect of disease severity and optic disc size on diagnostic accuracy of RTVue spectral domain optical coherence tomograph in glaucoma.

Authors:  Harsha L Rao; Mauro T Leite; Robert N Weinreb; Linda M Zangwill; Luciana M Alencar; Pamela A Sample; Felipe A Medeiros
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-10       Impact factor: 4.799

Review 6.  [Glaucoma diagnosis and follow-up using the Heidelberg Retina Tomograph].

Authors:  E M Hoffmann; J Lamparter; T Schmidt; A Schulze
Journal:  Ophthalmologe       Date:  2009-08       Impact factor: 1.059

7.  Diagnostic Performance of the ISNT Rule for Glaucoma Based on the Heidelberg Retinal Tomograph.

Authors:  Errol Wei'en Chan; Jiemin Liao; Reuben Chao Ming Foo; Seng Chee Loon; Tin Aung; Tien Yin Wong; Ching-Yu Cheng
Journal:  Transl Vis Sci Technol       Date:  2013-06-28       Impact factor: 3.283

Review 8.  [Value of Heidelberg retinal tomography in glaucoma diagnostics].

Authors:  E M Hoffmann
Journal:  Ophthalmologe       Date:  2015-08       Impact factor: 1.059

9.  Heidelberg Retina Tomograph 3 machine learning classifiers for glaucoma detection.

Authors:  K A Townsend; G Wollstein; D Danks; K R Sung; H Ishikawa; L Kagemann; M L Gabriele; J S Schuman
Journal:  Br J Ophthalmol       Date:  2008-06       Impact factor: 4.638

10.  Relationship between pattern electroretinogram, standard automated perimetry, and optic nerve structural assessments.

Authors:  Mitra Sehi; Mariana Pinzon-Plazas; William J Feuer; David S Greenfield
Journal:  J Glaucoma       Date:  2009 Oct-Nov       Impact factor: 2.503

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