Literature DB >> 17445899

Diagnostic ability of Heidelberg Retina Tomograph 3 classifications: glaucoma probability score versus Moorfields regression analysis.

Antonio Ferreras1, Ana B Pajarín, Vicente Polo, José M Larrosa, Luís E Pablo, Francisco M Honrubia.   

Abstract

PURPOSE: To evaluate the usefulness of the glaucoma probability score (GPS), which does not require manual outlining of the disc boundaries, and the Moorfields regression classification (MRA), which requires manual outlining of the disc boundaries, for discriminating between healthy and glaucomatous eyes, using the Heidelberg Retina Tomograph.
DESIGN: Cross-sectional study. PARTICIPANTS: We prospectively selected 71 consecutive healthy subjects and 115 consecutive patients with open-angle glaucoma.
METHODS: Participants were divided into 2 groups depending on the results of standard automated perimetry and intraocular pressure. All participants underwent imaging of the optic nerve head with the Heidelberg Retina Tomograph 3. All tests were performed within 1 month of each subject's date of enrollment into the study by examiners masked to the other findings. MAIN OUTCOME MEASURES: The sensitivity and specificity of all parameters of the MRA and GPS classifications were calculated. The diagnostic accuracy at different severities of glaucoma and optic disc sizes was also evaluated. Receiver operating characteristic curves were plotted for the GPS values.
RESULTS: The MRA global classification had a sensitivity of 73.9% and a specificity of 91.5%. The GPS global classification had a sensitivity of 58.2% and a specificity of 94.4%. The GPS had slightly higher sensitivity and somewhat lower specificity than the MRA when there was mild damage indicated by visual field tests. The MRA had the best discrimination capability for moderate and severe glaucoma. Both the GPS and MRA had lower sensitivity and higher specificity for small optic discs (<1.7 mm2) compared with medium and large discs.
CONCLUSIONS: In general, the diagnostic performance of the GPS was similar to that of the MRA. The diagnostic accuracy of both classifications depends on the optic disc size and the glaucoma severity.

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Mesh:

Year:  2007        PMID: 17445899     DOI: 10.1016/j.ophtha.2007.01.015

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  20 in total

1.  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

2.  Predicting the onset of glaucoma: the confocal scanning laser ophthalmoscopy ancillary study to theOcular Hypertension Treatment Study.

Authors:  Robert N Weinreb; Linda M Zangwill; Sonia Jain; Lida M Becerra; Keri Dirkes; Jody R Piltz-Seymour; George A Cioffi; Gary L Trick; Anne L Coleman; James D Brandt; Jefferey M Liebmann; Mae O Gordon; Michael A Kass
Journal:  Ophthalmology       Date:  2010-07-14       Impact factor: 12.079

3.  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 4.  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

5.  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

6.  Normal versus high tension glaucoma: a comparison of functional and structural defects.

Authors:  Oraorn Thonginnetra; Vivienne C Greenstein; David Chu; Jeffrey M Liebmann; Robert Ritch; Donald C Hood
Journal:  J Glaucoma       Date:  2010-03       Impact factor: 2.503

7.  Predictive value of retrobulbar blood flow velocities in glaucoma suspects.

Authors:  Pilar Calvo; Antonio Ferreras; Vicente Polo; Noemi Güerri; Pilar Seral; Isabel Fuertes-Lazaro; Luis E Pablo
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-06-22       Impact factor: 4.799

8.  Optic nerve head analysis of superior segmental optic hypoplasia using Heidelberg retina tomography.

Authors:  Atsushi Miki; Motohiro Shirakashi; Kiyoshi Yaoeda; Atsushi Fukushima; Mineo Takagi; Haruki Abe
Journal:  Clin Ophthalmol       Date:  2010-10-21

9.  Comparison of the diagnostic ability of Moorfield's regression analysis and glaucoma probability score using Heidelberg retinal tomograph III in eyes with primary open angle glaucoma.

Authors:  Shveta Jindal; Tanuj Dada; V Sreenivas; Viney Gupta; Ramanjit Sihota; Anita Panda
Journal:  Indian J Ophthalmol       Date:  2010 Nov-Dec       Impact factor: 1.848

Review 10.  Confocal scanning laser ophthalmoscopy in glaucoma diagnosis and management.

Authors:  C Alexandrescu; A M Dascalu; A Panca; A Sescioreanu; C Mitulescu; R Ciuluvica; L Voinea; C Celea
Journal:  J Med Life       Date:  2010 Jul-Sep
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