April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
Predicting Visual Field Loss in Glaucomatous Patients Using Fast-Fourier Analysis (FFA) of GDx-VCC Scanning Laser Polarimetry
Author Affiliations & Notes
  • P. Gunvant
    Research, Southern College of Optometry, Memphis, Tennessee
  • P. Kim
    University of Memphis, Memphis, Tennessee
  • M. Tóth
    Semmelweis University, Budapest, Hungary
  • G. Holló,
    Semmelweis University, Budapest, Hungary
  • E. Essock
    University of Louisville, Louisville, Kentucky
  • K. Iftekharuddin
    University of Memphis, Memphis, Tennessee
  • Footnotes
    Commercial Relationships  P. Gunvant, Heidelberg Engineering, C; P. Kim, None; M. Tóth, None; G. Holló,, Zeiss, C; E. Essock, FFA, P; K. Iftekharuddin, None.
  • Footnotes
    Support  ASSISI grant 09-066 to Dr. Gunvant
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 4891. doi:
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      P. Gunvant, P. Kim, M. Tóth, G. Holló,, E. Essock, K. Iftekharuddin; Predicting Visual Field Loss in Glaucomatous Patients Using Fast-Fourier Analysis (FFA) of GDx-VCC Scanning Laser Polarimetry. Invest. Ophthalmol. Vis. Sci. 2010;51(13):4891.

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

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Abstract
 
Purpose:
 

To predict progression of glaucoma by analyzing retinal nerve fiber layer (RNFL) thickness using the Fast Fourier Analysis.

 
Methods:
 

Fifty nine glaucoma patients were followed for a period up to 40 months at the Ophthalmology Department of Semmelweis University. Patients underwent evaluation with white on white perimetry and RNFL measurement using the GDx- Variable Corneal Compensator (GDx-VCC) Scanning Laser Polarimeter approximately every 6 months. The average number of GDX-VCC scans available for the patients examined was 6.54 and the patients were considered progressing if two consecutive visual fields showed progressive damage. The baseline RNFL data (64 sectors) that was available from the GDx-VCC was used in Fast Fourier Analysis and obtaining a classifier. A 10-fold cross validation procedure was performed and a classifier and the classifier that accounted for the maximum amount of variance was used in the study. The classifier obtained from the baseline data was applied to RNFL obtained at different visits and sensitivity, specificity and ROC area was calculated to assess the ability of Fast Fourier Analysis in differentiating progressors from non-progressors at 6, 12 and 18 months prior to progression.

 
Results:
 

On basis of visual fields 14 patients showed progressive damage in visual fields which was confirmed on second visit. The mean time to progression from baseline was 22.71 (standard deviation 12.63). The ROC area in identifying progressors from non-progressors was 0.941, 0.828 and 0.826 respectively for 6, 12 and 18 months prior to progression. The sensitivity specificity and ROC and sensitivity at fixed specificity of 90% are given in Table 1.

 
Conclusions:
 

The Fast Fourier Analysis can predict progressive glaucomatous damage with moderate accuracy.  

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