Literature DB >> 16001380

Discrimination between normal and early glaucomatous eyes with scanning laser polarimeter with fixed and variable corneal compensator settings.

P Brusini1, M L Salvetat, L Parisi, M Zeppieri, C Tosoni.   

Abstract

PURPOSE: To evaluate the ability of scanning laser polarimetry (SLP) with a fixed corneal polarization compensator (GDx-FCC Nerve Fiber Analyzer) compared to one with a variable one (GDx-VCC) in the discrimination between healthy and early glaucomatous eyes.
METHODS: Forty patients with early glaucomatous visual field defects, having a mean deviation of 3.1-/+1.6 dB and a pattern standard deviation of 3.1-/+0.9 dB, and 40 controls underwent both GDx-FCC and GDx-VCC. One eye per patient was considered. The cut-off point, taken as the value dividing healthy from glaucomatous eyes with highest probability, was determined for each GDx parameter. Linear discriminant functions (LDFs) were separately developed for GDx-FCC and GDx-VCC parameters. Sensitivity, specificity, and area under the receiver operating characteristic curve (AROC) for discriminating between healthy and glaucomatous eyes were calculated for each GDx parameter, both according to the GDx normative database and after the selection of new cut-off points, and for the LDFs.
RESULTS: All software-provided parameters showed low sensitivity and high specificity. The selection of new cut-off points improved the performance of all GDx parameters: VCC parameters performed better than FCC parameters; the largest AROCs were associated with the superior/nasal ratio for the GDx-FCC (0.86) and with the Number for the GDx-VCC (0.87). The LDFs provided an AROC of 0.89 with both the GDx-FCC and the GDx-VCC parameters.
CONCLUSIONS: The GDx-VCC showed a higher ability in the early diagnosis of glaucoma when compared with the GDx-FCC. The individuation of the right cut-off point of selected parameters with both GDx settings performed better than the software-provided parameters, and comparably to the GDx parameters-based LDFs.

Entities:  

Mesh:

Year:  2005        PMID: 16001380     DOI: 10.1177/112067210501500409

Source DB:  PubMed          Journal:  Eur J Ophthalmol        ISSN: 1120-6721            Impact factor:   2.597


  8 in total

1.  Linear discriminant analysis and artificial neural network for glaucoma diagnosis using scanning laser polarimetry-variable cornea compensation measurements in Taiwan Chinese population.

Authors:  Mei-Ling Huang; Hsin-Yi Chen; Wei-Cheng Huang; Yi-Yu Tsai
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2009-12-15       Impact factor: 3.117

Review 2.  Optic nerve head and fibre layer imaging for diagnosing glaucoma.

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Review 3.  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

4.  Glaucoma Diagnosis and Monitoring Using Advanced Imaging Technologies.

Authors:  Mitra Sehi; Shawn M Iverson
Journal:  US Ophthalmic Rev       Date:  2013

5.  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

Review 6.  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

Review 7.  Polarization sensitive optical coherence tomography in the human eye.

Authors:  Michael Pircher; Christoph K Hitzenberger; Ursula Schmidt-Erfurth
Journal:  Prog Retin Eye Res       Date:  2011-06-26       Impact factor: 21.198

Review 8.  How strong is the relationship between glaucoma, the retinal nerve fibre layer, and neurodegenerative diseases such as Alzheimer's disease and multiple sclerosis?

Authors:  E Jones-Odeh; C J Hammond
Journal:  Eye (Lond)       Date:  2015-09-04       Impact factor: 3.775

  8 in total

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