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Guided Progression Analysis™ (GPA) for GDx
GPA TM  Progression tools can help ,[object Object],[object Object],[object Object],[object Object],Why  GPA TM   Progression Analysis for GDx
[object Object],[object Object],[object Object],[object Object],1 Frenkel, Slonim, et al. Operator learning effect and interoperator reproducibility of the scanning laser polarimeter with variable corneal compensation.  Ophthalmology . 2005 Feb;112(2):257-61 Why  GPA TM   Progression Analysis for GDx
= Possible Progression = Likely Progression (design specificity 95%)  with clear, concise summary of Progression. Identify   progressing patients Simulated data.
[object Object],Identify   progressing patients Diffuse defects TSNIT Progression Graph Image Progression Map Simulated data. Deep, narrow  focal defects Summary Parameter  Chart  Shallower, broader  focal defects
Determine the  rate   of progression Simulated data. to identify patients at risk.
Assess treatment  effectiveness  Simulated data. by comparing   rates before and after treatment. Before :  -3.9 microns/yr  ±  1.1 After :  -1.8 microns/yr  ±  1.1
[object Object],[object Object],Simulated data. Image Progression Map:  For deep, narrow focal defects
[object Object],[object Object],[object Object],Simulated data. TSNIT Progression Graph:  For broader, shallow focal defects
[object Object],[object Object],[object Object],Simulated data. Parameter Progression Charts:  For diffuse defects
Courtesy of Robert N. Weinreb, MD Felipe A. Medeiros, MD, PhD Hamilton Glaucoma Center University of California at San Diego GDx Progression: Case Examples
[object Object],[object Object],Data presented using research format. Example 1: deep, narrow focal defect
[object Object],[object Object],Data presented using research format. Example 2: shallow, broad focal defect
[object Object],[object Object],Data presented using research format. Example 3: larger defect identified by all
GPA TM   tools integrate your structure and function analysis by using consistent terms and rules. Extending GPA TM   across structure and function
GPA TM  Progression for GDx ,[object Object],[object Object],[object Object],Summary

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Cor 1232 g dx presentation, aao 06

  • 2.
  • 3.
  • 4. = Possible Progression = Likely Progression (design specificity 95%) with clear, concise summary of Progression. Identify progressing patients Simulated data.
  • 5.
  • 6. Determine the rate of progression Simulated data. to identify patients at risk.
  • 7. Assess treatment effectiveness Simulated data. by comparing rates before and after treatment. Before : -3.9 microns/yr ± 1.1 After : -1.8 microns/yr ± 1.1
  • 8.
  • 9.
  • 10.
  • 11. Courtesy of Robert N. Weinreb, MD Felipe A. Medeiros, MD, PhD Hamilton Glaucoma Center University of California at San Diego GDx Progression: Case Examples
  • 12.
  • 13.
  • 14.
  • 15. GPA TM tools integrate your structure and function analysis by using consistent terms and rules. Extending GPA TM across structure and function
  • 16.