Premium
Optical coherence tomography of the retina, nerve fiber layer, and optic nerve head in dogs with glaucoma
Author(s) -
Graham Kathleen L.,
McCowan Christina I.,
Caruso Kelly,
Billson F. Mark,
Whittaker Cameron J. G.,
White Andrew
Publication year - 2020
Publication title -
veterinary ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.594
H-Index - 50
eISSN - 1463-5224
pISSN - 1463-5216
DOI - 10.1111/vop.12694
Subject(s) - nerve fiber layer , retinal , optic nerve , retina , ophthalmology , glaucoma , intraclass correlation , medicine , repeatability , optical coherence tomography , ganglion , anatomy , biology , chemistry , clinical psychology , chromatography , neuroscience , psychometrics
Objective To evaluate the retina and optic nerve head (ONH) in canine eyes predisposed to glaucoma using optical coherence tomography (OCT). Animals Twenty‐five eyes (24 dogs). Methods Measures of peripapillary retinal, retinal nerve fiber layer (RNFL), and ganglion cell complex (GCC) thickness and ONH parameters were obtained in vivo by OCT of the unaffected eye in dogs diagnosed with unilateral primary glaucoma (predisposed; n = 12) and compared with measures of healthy control eyes (normal; n = 13). Repeatability and intrarater reliability were explored using intraclass correlation coefficients (ICC). Results Compared to normal eyes, predisposed eyes had a thinner retina in the temporal ( P = 0.005), inferior quadrants ( P = 0.003), and decreased inner retinal thickness (superior: P = 0.003, temporal: P = 0.001, inferior: P < 0.001, nasal: P = 0.001). Predisposed eyes had a thinner RNFL compared to normal eyes ( P = 0.005), and when analyzed in quadrants, it was thinner in the superior ( P < 0.001), temporal ( P = 0.034), and nasal quadrants ( P = 0.001). Repeatability (ICC 0.763‐0.835) and intrarater reliability (ICC 0.824‐0.942) were good to excellent for measures of retinal thickness and adequate for RNFL measurements (ICC 0.701‐0.798). Reliable measurements of optic disk area were obtained and were similar between groups ( P = 0.597). Measurements of parameters relying on automated software detection (GCC, optic cup, optic rim) had inadequate repeatability and reliability. Conclusion Statistically significant differences in retinal and RNFL thicknesses were identified in normal and predisposed eyes. Reliable and consistent measurements of variables with manual adjustment of software detected parameters were obtained. Validation of OCT as a diagnostic tool for clinical assessment in canine glaucoma is warranted.