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. 2020 Dec;104(12):1724-1729.
doi: 10.1136/bjophthalmol-2019-315592. Epub 2020 Feb 27.

Asymmetry analysis of macular optical coherence tomography angiography in patients with glaucoma and healthy subjects

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Asymmetry analysis of macular optical coherence tomography angiography in patients with glaucoma and healthy subjects

Corey A Smith et al. Br J Ophthalmol. 2020 Dec.

Abstract

Background/aims: Quantitative analysis of optical coherence tomography angiography (OCT-A) images requires a reproducible approach that accounts for sectoral loss. The objective of this study was to determine whether an index that accounts for both global (perfusion density, PD) and asymmetric loss of perfusion, rather than PD alone, more reliably measures loss of perfusion in patients with glaucoma.

Methods: We analysed macular OCT-A scans of 95 glaucoma patients and 59 control subjects. Two-dimensional projection images corresponding to the superficial vascular plexus were exported and analyses performed to calculate global PD and image asymmetry. An unsigned perfusion asymmetry index (PAI) that included PD and asymmetry (with 1:1 wt) was calculated. Perfusion density and PAI were compared with 10-2 visual field mean deviation and ganglion cell layer (GCL) thickness.

Results: Median (IQR) visual field mean deviation was -1.73 (-3.76, 0.30) dB for the glaucoma group and 0.67 (0.16, 1.18) dB for the control group. The strength of the correlation with mean deviation was stronger for PAI (r=0.47), compared with PD (r=0.35), whereas with GCL thickness they were comparable (r=0.45 and 0.43, respectively). Compared with controls, mean PD was 12% lower in patients with glaucoma (0.27 vs 0.30), while PAI was 17% lower (0.40 vs 0.48). However, diagnostic accuracy of either PD or PAI was worse than GCL thickness.

Conclusions: While PAI yielded better correlation with mean deviation and GCL thickness, and a slightly improved separation between patients with glaucoma and healthy controls, diagnostic accuracy was inferior compared with GCL thickness.

Keywords: glaucoma; imaging; macula.

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Conflict of interest statement

Competing interests: LMS: Consultant—Alcon, Allergan, Bausch and Lomb, Thea Pharmaceuticals. PER: Consultant—Allergan, Bausch and Lomb; Lecturer—Bausch and Lomb. MTN: Consultant and Lecturer—Allergan, Alcon. BCC: Equipment support—CenterVue, Heidelberg Engineering, Topcon; Lecturer—Santen.

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