September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
The structure/function relationship between wide-scan binocular OCT images and the binocular visual field in glaucoma patients
Author Affiliations & Notes
  • Masaaki Yoshida
    Department of ophthalmolgy, Tohoku university graduate school of medicine, Sendai, Japan
  • Shiho Kunimatsu-Sanuki
    Department of ophthalmolgy, Tohoku university graduate school of medicine, Sendai, Japan
  • Kazuko Omodaka
    Department of ophthalmolgy, Tohoku university graduate school of medicine, Sendai, Japan
  • Toru Nakazawa
    Department of ophthalmolgy, Tohoku university graduate school of medicine, Sendai, Japan
  • Footnotes
    Commercial Relationships   Masaaki Yoshida, TOPCON CORPORATION (F); Shiho Kunimatsu-Sanuki, None; Kazuko Omodaka, None; Toru Nakazawa, TOPCON CORPORATION (F)
  • Footnotes
    Support  JSPS KAKENHI Grant Number 26670751 and 26462630
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 361. doi:
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      Masaaki Yoshida, Shiho Kunimatsu-Sanuki, Kazuko Omodaka, Toru Nakazawa; The structure/function relationship between wide-scan binocular OCT images and the binocular visual field in glaucoma patients. Invest. Ophthalmol. Vis. Sci. 2016;57(12):361.

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

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Abstract

Purpose : The diagnosis and management of glaucoma is usually based on evaluations of the structure and function of the eye, respectively made with optical coherence tomography (OCT) and visual field testing, while quality of life (QOL) is most closely correlated to the binocular visual field (BVF). In this study, we investigated a new method of creating binocular OCT (B-OCT) maps, and determined the correlation between these B-OCT maps and the BVF.

Methods : This study included 60 glaucoma patients (60.8 ± 10.4 years old, male: female = 31: 29). The BVF was calculated by merging monocular Humphrey Field Analyzer 24-2 visual field testing results from both eyes. The patients’ best point-by-point sensitivity from the monocular HFA data was then used to calculate the BVF.
The thickness of the macular retinal nerve fiber layer (mRNFL), ganglion cell layer + inner plexiform layer (GCL/IPL), and mRNFL + ganglion cell layer + inner plexiform layer (GCC) was measured with the 3D OCT-2000 device and its included software (version 8.11, Topcon, Inc.). A 10.8 × 7.2 mm analysis area centered on the fovea was divided into a 6 × 4 grid. The binocular mRNFL, GCL/IPL, and GCC were calculated by selecting the higher point-by-point monocular thickness measurements. Finally, B-OCT-measured retinal thickness in each of the 24 areas on the 6 × 4 grid was compared with sensitivity in the corresponding 24 points on the BVF, with Spearman’s rank correlation coefficient.

Results : We found that among the 24 OCT grid areas, B-GCL/IPL was most correlated with the BVF in the central 4 grid areas, while B-mRNFL was most correlated in the outer 20 grid areas. B-GCC was correlated in almost all grid areas. Dividing the map into the superior and inferior hemifields (each comprising 2 central and 10 outer grid areas) revealed similar patterns of correlation. The B-GCL/IPL was most correlated with the central BVF (superior: r=0.67, inferior: r=0.64), B-mRNFL was most correlated with the outer BVF (superior: r=0.82, inferior: r=0.66), and B-GCC was most correlated with both the central and outer BVF (central superior: r=0.72, central inferior: r=0.63, outer superior: r=0.77, outer inferior: r=0.51).

Conclusions : Our results suggest that B-OCT could be an accurate predictor of QOL in glaucoma patients.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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