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J. Benitez-del-Castillo, T. Regi, I. Mota, J. Garcia-Sanchez; Correlation Between Structure and Function in Glaucoma. Invest. Ophthalmol. Vis. Sci. 2008;49(13):731. doi: https://doi.org/.
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© ARVO (1962-2015); The Authors (2016-present)
To evaluate correlation between SLP parameters (TSNIT average and NFI), PERG parameters (P50 and P50-N95 amplitudes) and Visual field indexes (MD and PSD).
A cross-sectional study of 77 eyes belonging to 33 glaucoma, ocular hypertensive and normal patients. All patients are studied with scanning laser polarimetry (GDx VCC), pattern electrorretinography (PERG) with the I.S.C.E.V. normative calculating and visual field examination (SITA-std 24-2). Pearson’s correlation coefficients between parameters are calculated. Regression lines and equations are also analyzed.
Best correlation between SLP and VF is between NFI and MD index with a correlation coefficient r= -0,77 (p<0,0001; 95% CI -0,85 to -0,66) followed by TSNIT average and MD index with r= 0,75 (p<0,0001; 95% CI 0,63 to 0,83). Best correlation between PERG and VF is between P50-N95 amplitude and MD index with a correlation coefficient r= 0,51 (p<0,0001; 95% CI 0,33 to 0,66) followed by P50-N95 amplitude and PSD index with r= -0,49 (p<0,0001; 95% CI -0,63 to -0,3). Best correlation between PERG and SLP is between P50-N95 amplitude and NFI with a correlation coefficient r= -0,49 (p<0,0001; 95% CI -0,63 to -0,3) followed by P50-N95 amplitude and TSNIT average with r= 0,43 (p=0,0001; 95% CI 0,22 to 0,59).
Structure-function correlation in glaucoma vary between different methods. This is probably due, among other reasons, to their different diagnostic capacity.
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