Apart from the OND, several other previous investigations
4 5 6 7 11 28 29 compared VF indices, mostly the MD, with structural parameters, applying regression analyses in most instances. Among those studies, many researchers
5 6 28 have advocated a linear model similar to that applied here, especially with regard to POAG’s progressive course. Ajtony et al.
4 found a correlation of
r = 0.72 when comparing RNFL measurements by OCT with the MD being rather similar to our findings. Another study applied a design similar to ours, except for not including MRI: Bowd et al.
5 showed that VF sensitivity was associated with RNFL/optic disc measurements of up to
r 2 = 0.26 for SLT,
r 2 = 0.21 for SLP, and
r 2 = 0.38 for OCT. Hood et al.
6 found
r = 0.82 for the upper hemifield and
r = 0.70 for the lower hemifield when comparing SAP with OCT. Iester et al.
28 pointed out that, among other parameters, the NFI correlated best with the MD, as we noted in our multivariate analysis. Leung et al.
15 observed a good concordance between OCT and SLP in POAG, with a slightly better correlation between MD and RNFL thickness when measured with OCT compared with SLP.
7 Concerning the reproducibility of morphometric measurements, other authors maintained that SLP may be superior to OCT in less advanced cases of POAG.
30 For the RNFL measurement with the Stratus OCT, Budenz et al.
31 calculated a coefficient of variation of 5% for overall thickness and around 10% for single quadrants, which closely resembles our coefficients of variation regarding the OND. Taken together, the aforementioned studies correspond relatively well to our findings. Our investigation has furthermore revealed that the combined consideration of different morphologic parameters enhances the structure–function relationship, confirming previous studies.
32 33