May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
A Test of a Linear Model Relating Visual Field Loss to Retinal Nerve Fiber Thickness Measured With Scanning Laser Polarimetry (SLP)
Author Affiliations & Notes
  • J. A. Salant
    Columbia University, New York, New York
    Psychology,
  • X. Zhang
    Columbia University, New York, New York
    Psychology,
  • S. N. Arthur
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • D. Xin
    Columbia University, New York, New York
    Psychology,
  • A. S. Raza
    Columbia University, New York, New York
    Psychology,
  • J. M. Liebmann
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • R. Ritch
    Einhorn Clinical Research Center, New York Eye and Ear Infirmary, New York, New York
  • D. C. Hood
    Columbia University, New York, New York
    Psychology,
    Ophthalmology,
  • Footnotes
    Commercial Relationships  J.A. Salant, None; X. Zhang, None; S.N. Arthur, None; D. Xin, None; A.S. Raza, None; J.M. Liebmann, None; R. Ritch, None; D.C. Hood, None.
  • Footnotes
    Support  NIH Grant RO1-EY02115, NIH Grant R01-EY-09076, Joan Schechtman Research Fund of the New York Glaucoma Research Institute, New York, NY
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 728. doi:https://doi.org/
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      J. A. Salant, X. Zhang, S. N. Arthur, D. Xin, A. S. Raza, J. M. Liebmann, R. Ritch, D. C. Hood; A Test of a Linear Model Relating Visual Field Loss to Retinal Nerve Fiber Thickness Measured With Scanning Laser Polarimetry (SLP). Invest. Ophthalmol. Vis. Sci. 2008;49(13):728. doi: https://doi.org/.

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

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Abstract

Purpose: : To test a linear model, which relates structural loss in retinal nerve fiber (RNFL) thickness to functional loss in visual fields, RNFL thickness was measured with scanning laser polarimetry (SLP). The model was previously shown to fit RNFL thickness measured with optical coherence tomography (OCT),[1,2] where blood vessels contribute to the measurements.[3]

Methods: : One eye from 50 controls and 45 glaucoma patients was tested with OCT (fast circular RNFL scan, OCT3, Zeiss), scanning laser polarimetry (SLP) (GDx-VCC, Zeiss) and 24-2 Humphrey visual fields. Glaucoma patients had abnormal visual fields (GHT or PSD) and optic discs. For each eye, the SLP RNFL thickness was exported and the RNFL profile determined for a circle of 3.4 mm dia; this circle is comparable to the OCT circular scan. The mean visual field loss was calculated for an upper and lower arcuate field region [4] by averaging the loss in relative sensitivity on a linear scale. The average OCT and SLP RNFL thicknesses for sectors of the lower and upper optic disc corresponding to the arcuate regions [4] were obtained. A linear model was fitted to the plots of RNFL thickness vs. field loss. According to the model, the RNFL thickness R = sT + b, where T is the field sensitivity loss relative to age-matched normal eyes (linear scale; e.g. for -3dB, T=0.5), (s + b) is the RNFL thickness in the healthy/normal state (T=1), and b is the residual RNFL measured when sensitivity is zero and all axons are lost. The model was fitted separately to the data for the upper and lower arcuates.

Results: : The linear model fitted both OCT and SLP data, although the values of the parameters differed. The best fitting [(s+b); b] values were (OCT: 142.7um; 47.6um) and (SLP: 61.6 um; 23.1 um) for the upper arcuate field region and (OCT: 129.5 um; 43.1 um) and (SLP: 64.9 um; 22.7 um) for the lower field.

Conclusions: : A linear model describes structural glaucomatous loss as a function of field loss, when structural loss is measured as SLP or OCT RNFL thickness. The smaller values of the SLP parameters are due to a number of factors, including a smaller contribution of blood vessels to the SLP measurements.1. Hood & Kardon, PRER (2007); 2. Hood et al, IOVS (2007); 3. Hood et al, J. Glau (in press); 4. Garway-Heath et al, Ophthal (2000).

Keywords: nerve fiber layer • visual fields • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 
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