April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
Comparison of Trend and Event Based Analyses for Detection of Visual Field Progression in Glaucoma
Author Affiliations & Notes
  • S. Liu
    Ophthalmology and Visual sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • G. Lai
    Ophthalmology and Visual Sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • L. Liu
    Ophthalmology and Visual Sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • C. Ye
    Ophthalmology and Visual Sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • C. Cheung
    Singapore National Eye Hospital, Singapore, Singapore
  • D. Lam
    Ophthalmology and Visual sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • C. Pang
    Ophthalmology and Visual Sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • C. Leung
    Ophthalmology and Visual Sciences,
    The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Footnotes
    Commercial Relationships  S. Liu, None; G. Lai, None; L. Liu, None; C. Ye, None; C. Cheung, None; D. Lam, None; C. Pang, None; C. Leung, None.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 4013. doi:https://doi.org/
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      S. Liu, G. Lai, L. Liu, C. Ye, C. Cheung, D. Lam, C. Pang, C. Leung; Comparison of Trend and Event Based Analyses for Detection of Visual Field Progression in Glaucoma. Invest. Ophthalmol. Vis. Sci. 2010;51(13):4013. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Introduction:
 

Objective: To evaluate the performance and agreement of event and trend based analyses of visual field (VF) progression in glaucoma.

 
Methods:
 

147 eyes from 84 glaucoma patients were included. Each eye had a minimum of 3 reliable VF tests (Humphrey visual field analyzer, Carl Zeiss Meditec, Dublin CA) with the first and the last tests separated by at least 3 years. Event based VF progression was defined by the AGIS criteria, CIGTS criteria and Guided Progression Analysis (GPA). Trend based VF progression was analyzed by performing linear regression between visual field index (VFI) / MD and age (years). Statistically significant (p<0.05) negative trend was identified as progression. Agreement between visual field tests was evaluated with kappa statistics.

 
Results:
 

A total of 1476 visual field tests were analyzed. 75 eyes were found to have progression by at least one VF progression criteria whereas 3 eyes showed progression by all criteria. Trend analyses with VFI and MD detected more eyes as progressing (35 (23.8%) and 59 (40.1%) eyes, respectively) compared to event analyses by AGIS criteria, CIGTS criteria and GPA (8(5.4%), 14 (9.5%), and 21(14.3%) eyes, respectively). Agreement between trend and event analyses was poor (kappa ranged between 0.133 and 0.285). The best agreement was found between AGIS and CIGTS criteria (kappa = 0.596) and between VFI and MD trend analyses (kappa = 0.423). Progressing eyes detected by VFI trend analysis generally had more severe visual field defects than those detected by GPA. The mean MD (SD) of progressing eyes identified by AGIS criteria, CIGTS criteria, GPA, MD trend analysis, and VFI trend analysis were -6.5±4.2 dB, -5.1±3.7 dB, -4.7±3.3 dB, -5.7±6.4, -8.8±8.0 dB, respectively.

 
Conclusions:
 

The agreement between trend and event VF progression analyses was poor. Trend analysis detected more eyes as progressing than event analysis. The selection of analysis approaches has significant impact on interpretation of VF progression.  

 
Keywords: imaging/image analysis: clinical • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • imaging/image analysis: non-clinical 
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