May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Determining Glaucomatous Progression by Linear Regression of Visual Field Locations Within Regions in the Diagnostic Innovations in Glaucoma Study (DIGS)
Author Affiliations & Notes
  • J. P. Pascual
    Univ of California-San Diego, La Jolla, California
    Ophthalmology/Psychology,
  • J. Paetzold
    Centre for Ophthalmology/ Institute for Ophthalmic Research, University of Tuebingen, Tuebingen, Germany
  • U. Schiefer
    Centre for Ophthalmology/ Institute for Ophthalmic Research, University of Tuebingen, Tuebingen, Germany
  • L. Zangwill
    Univ of California-San Diego, La Jolla, California
    Ophthalmology,
  • R. N. Weinreb
    Univ of California-San Diego, La Jolla, California
    Ophthalmology,
  • P. A. Sample
    Univ of California-San Diego, La Jolla, California
    Ophthalmology,
  • Footnotes
    Commercial Relationships  J.P. Pascual, None; J. Paetzold, Haag-Streit, F; U. Schiefer, Haag-Streit, C; L. Zangwill, Heidelberg Engineering, F; Carl-Zeiss Meditec, F; Optovue, F; Allergan, F; R.N. Weinreb, Heidelberg Engineering, F; Carl-Zeiss Meditec, F; Carl-Zeiss Meditec, C; Alcon, C; Allergan, C; Pfizer, C; P.A. Sample, Carl-Zeiss Meditec, F; Welch Allyn, F; Haag-Streit, F.
  • Footnotes
    Support  NEI EY008208 (PAS); NEI EY 011008 (LMZ); Participant incentive grants in the form of glaucoma medication at no cost from Alcon Laboratories Inc, Allergan, Pfizer Inc., and SANTEN Inc.
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 1092. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      J. P. Pascual, J. Paetzold, U. Schiefer, L. Zangwill, R. N. Weinreb, P. A. Sample; Determining Glaucomatous Progression by Linear Regression of Visual Field Locations Within Regions in the Diagnostic Innovations in Glaucoma Study (DIGS). Invest. Ophthalmol. Vis. Sci. 2008;49(13):1092.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: : Linear regression for groups of visual field (VF) locations is compared to regressions of single locations followed across time.

Methods: : VF progression was analyzed in DIGS participants with at least 4 reliable, full threshold, standard automated perimetry tests and a stereophotograph history indicative of progressive glaucomatous optic neuropathy (pGON). To assess spatial agreement between linear regressions of groups of VF locations and single locations, a circular window of 4.3 degrees radius was convolved across the VF to create 184 regions that each contained more than 1 test location, with the centers of the regions located between the vertices of the pattern 24-2 test grid. Pattern deviation (PD) plot values for regions and locations were regressed, and progression was defined as a regression slope less than -0.5 dB/year, p<0.05. The time to endpoints for progression in single locations and for various numbers of progressed regions containing that location was compared. Survival curves characterized the time to endpoint. Sensitivity and specificity for VF progression for various numbers of locations at endpoint were determined using several cutoffs for number of regions at endpoint.

Results: : The number of VF exams from the 37 eligible pGON patients was 15.8 ± 6.0 (mean ± SD) exams over 11.5 ± 3.6 years with an interval of 0.78 ± 0.73 years between exams. MD and PSD at the first exam were -1.09 ± 2.14 dB and 3.26 ± 2.53 dB, respectively. The changes in MD and PSD between the first and last exams are -3.06 ± 3.45 dB and 1.42 ± 2.46 dB. The median survival time for a location to reach endpoint was 11.8, 4.6, 2.0, 1.0 and 0.4 years when 1, 2, 3, 4, and 5 regions progressed. The median survival time is the time at which half of locations reach their endpoint after their regions reach their endpoints. Sensitivities for 4-location progression are 0.80 and 0.70 and specificities are 0.88 and 0.94 when 12 and 13 regions in the VF are at endpoint (out of 184 possible regions).

Conclusions: : The region-based algorithm in this study is comparable to traditional location-based regression techniques, and location endpoints coincided with region progression endpoints. This region-based progression algorithm would be applicable to a new generation of VF exams that employ condensed test grids since it functions independent of the test grid’s spatial arrangement.

Clinical Trial: : University of Sao Paulo #310/05

Keywords: visual fields • perimetry 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×