Cor 1232 g dx presentation, aao 06

Santé & Médecine Technologie Formation

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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