Literature DB >> 2737482

A cluster analysis for threshold perimetry.

B C Chauhan1, S M Drance, C Lai.   

Abstract

Cluster analysis in perimetry is a technique used in the evaluation of localised visual field loss. It has previously been applied to suprathreshold data and, unlike the indices currently available to indicate localised loss, it is influenced by the relative positions of individual defects. This paper describes a cluster analysis for use with data from Program 31 of the Octopus perimeter. To demonstrate the technique, sensitivity values of normal 60-year-old subject were altered to simulate localised loss. Illustrative examples of clinical cases are given, showing differing degrees of localised loss that do not influence the corrected loss variance (CLV) but influence the computed cluster parameters. It is hoped that the value of this form of analysis will be demonstrated in clinical follow-up of glaucoma patients.

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Year:  1989        PMID: 2737482     DOI: 10.1007/bf02172752

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  3 in total

1.  Cluster analysis in visual field quantification.

Authors:  B C Chauhan; D B Henson; A J Hobley
Journal:  Doc Ophthalmol       Date:  1988-05       Impact factor: 2.379

2.  Quantification of glaucomatous visual field defects with automated perimetry.

Authors:  J Flammer; S M Drance; L Augustiny; A Funkhouser
Journal:  Invest Ophthalmol Vis Sci       Date:  1985-02       Impact factor: 4.799

3.  Evaluation of the Friedmann Visual Field Analyser Mark II. Part 1. Results from a normal population.

Authors:  D B Henson; S M Dix; A C Oborne
Journal:  Br J Ophthalmol       Date:  1984-07       Impact factor: 4.638

  3 in total
  5 in total

1.  Normal visual fields measured with Octopus-Program G1. II. Global visual field indices.

Authors:  M Zulauf; R P LeBlanc; J Flammer
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1994-09       Impact factor: 3.117

2.  A cluster and scotoma analysis based on empiric criteria.

Authors:  F Fankhauser; F Fankhauser; H Giger
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1993-12       Impact factor: 3.117

3.  Mapping glaucoma patients' 30-2 and 10-2 visual fields reveals clusters of test points damaged in the 10-2 grid that are not sampled in the sparse 30-2 grid.

Authors:  Ryo Asaoka
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

4.  Cluster Formation for Analyses of Glaucomatous Visual Field Defects in Central 10-2 Visual Field in Normal Tension Glaucoma Eyes.

Authors:  Hirotaka Suzumura; Keiji Yoshikawa; Tairo Kimura; Mami Nanno; Toyoaki Tsumura
Journal:  Clin Ophthalmol       Date:  2022-03-03

5.  Enhancement of Visual Field Predictions with Pointwise Exponential Regression (PER) and Pointwise Linear Regression (PLR).

Authors:  Esteban Morales; John Mark S de Leon; Niloufar Abdollahi; Fei Yu; Kouros Nouri-Mahdavi; Joseph Caprioli
Journal:  Transl Vis Sci Technol       Date:  2016-03-14       Impact factor: 3.283

  5 in total

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