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Seung Woo Hong, You Sook Hwang, Woo kyung Park, Shin Hae Park; High Resolution Mapping of Standard Automated Perimetry to Peripapillary Retinal Nerve Fiber Layer According to Refractive Status. Invest. Ophthalmol. Vis. Sci. 2017;58(8):5812.
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© ARVO (1962-2015); The Authors (2016-present)
To investigate the effect of refractive errors on structure-function relationships at each of visual field (VF) test points using circum-peripapillary retinal nerve fiber layer (RNFL) thickness measured with optical coherence tomography (OCT).
Medical records of 1128 individuals who visited Bucheon St. Mary's Hospital were reviewed. Of those, 799 were glaucoma patients, 258 were glaucoma suspects, and 71 were normal healthy subjects. All the subjects received standard automated perimetry (SAP) and RNFL thickness measurement using optical coherence tomography (OCT). The subjects were classified into four subgroups according to refractive status (hyperopia, emmetropia, mild-to-moderate myopia and high myopia). Pearson's correlations between sensitivity at 54 SAP test points and RNFL thickness at 256 sectors were calculated. Maps exhibiting relationships between VF test points and RNFL sectors were plotted.
Mild to moderate correlations were observed between VF sensitivity values and RNFL thickness. The correlations at each SAP test points showed differences according to refractive status. The sensitivity at the SAP point 9° nasal and 9° inferior to the fixation point exhibited the highest correlation with RNFL thickness in the inferior hemi-VF regardless of refractive status. The sensitivity at the SAP point 15° nasal and 3° superior to the fixation point exhibited the highest correlation with RNFL thickness in the superior hemi-field, except in cases of high myopia.
Maps relating RNFL sectors to SAP test points have been developed according to refractive status. The correspondences between SAP test points and RNFL sectors in hyperopic and high myopic subjects were somewhat different from the other groups.
This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.
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