title: Classifying patterns of localized glaucomatous visual field defects on automated perimetry.
abstract: OBJECTIVE
  To classify the classic patterns of glaucomatous visual field defects on automated perimetry and to study their proximity to fixation.
  
  
  METHODS
  Cross-sectional observational study.
  
  
  METHODS
  About 1120 full threshold 30-2 reliable visual fields of glaucoma patients were analyzed by 2 glaucomatologists. Classically described patterns of visual field defects were identified on the pattern deviation plot and definitions proposed. Interreader agreement between 3 independent (not involved in the classification) readers was determined. Proximity to fixation of the different patterns was assessed.
  
  
  RESULTS
  Interreader agreement with 3 readers was found to be 93% or more between any 2 readers using the present system of classification. Central fixation was seen to be involved in 45% of the glaucomatous visual field defects studied overall.
  
  
  CONCLUSIONS
  The proposed definitions of topographical glaucomatous field defects based on the pattern deviation probability plot are simple to use in clinical practice with good interreader agreement.
authors.affiliation: Glaucoma Research Facility and Clinical Services, Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.
authors.forename: Ramanjit
authors.initials: R
authors.lastname: Sihota
authors.forename: Viney
authors.initials: V
authors.lastname: Gupta
authors.forename: Deven
authors.initials: D
authors.lastname: Tuli
authors.forename: Ajay
authors.initials: A
authors.lastname: Sharma
authors.forename: Parul
authors.initials: P
authors.lastname: Sony
authors.forename: Geetha
authors.initials: G
authors.lastname: Srinivasan
mesh_terms: D003430:Cross-Sectional Studies; D005260:Female; D005901:Glaucoma / Q000145:classification* / Q000175:diagnosis; D006801:Humans; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D012607:Scotoma / Q000145:classification* / Q000175:diagnosis; D058609:Visual Field Tests / Q000145:classification*; D014794:Visual Fields