PURPOSE: We evaluated the glaucoma detection ability of macular ganglion cell-inner plexiform layer (GCIPL) thickness measured by spectral-domain optical coherence tomography (SD-OCT) and compared it to peripapillary retinal nerve fiber layer (RNFL) thickness and optic nerve head (ONH) parameters in myopic preperimetric glaucoma (PPG). METHODS: We analyzed 353 eyes, including 67 nonmyopic preperimetric glaucomatous eyes, 182 myopic healthy eyes, and 104 myopic preperimetric glaucomatous eyes. Myopic PPG detection abilities of the respective parameters were assessed by calculating the area under receiver operating characteristic (AUROC) curves. The myopic eyes were divided into two groups (a nonhighly myopic and a highly myopic group). The diagnostic performance was analyzed for each group independently, and differences between the two groups also were evaluated. RESULTS: The best parameter for discrimination of myopic PPG from myopic healthy eyes was inferotemporal macular GCIPL thickness. The AUROCs of this parameter were 0.752, 0.747, and 0.737 in the total myopic, nonhighly myopic, and highly myopic groups, respectively. These were significantly larger than the AUROCs of the other parameters, including average RNFL thickness, average GCIPL thickness, rim area, inferior RNFL thickness, and minimum GCIPL thickness (P = 0.021, 0.012, 0.016, 0.036, and 0.013, respectively). The inferotemporal macular GCIPL thickness showed no significant difference between nonhighly myopic and highly myopic groups. CONCLUSIONS: The inferotemporal macular GCIPL thickness was the best PPG-detection parameter for myopic eyes. Inferotemporal macular GCIPL thickness evaluation can be considered to be a useful means of diagnosing PPG in myopic eyes.
PURPOSE: We evaluated the glaucoma detection ability of macular ganglion cell-inner plexiform layer (GCIPL) thickness measured by spectral-domain optical coherence tomography (SD-OCT) and compared it to peripapillary retinal nerve fiber layer (RNFL) thickness and optic nerve head (ONH) parameters in myopic preperimetric glaucoma (PPG). METHODS: We analyzed 353 eyes, including 67 nonmyopic preperimetric glaucomatous eyes, 182 myopic healthy eyes, and 104 myopic preperimetric glaucomatous eyes. Myopic PPG detection abilities of the respective parameters were assessed by calculating the area under receiver operating characteristic (AUROC) curves. The myopic eyes were divided into two groups (a nonhighly myopic and a highly myopic group). The diagnostic performance was analyzed for each group independently, and differences between the two groups also were evaluated. RESULTS: The best parameter for discrimination of myopic PPG from myopic healthy eyes was inferotemporal macular GCIPL thickness. The AUROCs of this parameter were 0.752, 0.747, and 0.737 in the total myopic, nonhighly myopic, and highly myopic groups, respectively. These were significantly larger than the AUROCs of the other parameters, including average RNFL thickness, average GCIPL thickness, rim area, inferior RNFL thickness, and minimum GCIPL thickness (P = 0.021, 0.012, 0.016, 0.036, and 0.013, respectively). The inferotemporal macular GCIPL thickness showed no significant difference between nonhighly myopic and highly myopic groups. CONCLUSIONS: The inferotemporal macular GCIPL thickness was the best PPG-detection parameter for myopic eyes. Inferotemporal macular GCIPL thickness evaluation can be considered to be a useful means of diagnosing PPG in myopic eyes.
Authors: Elli A Park; Edem Tsikata; Jenny Jyoung Lee; Eric Shieh; Boy Braaf; Benjamin J Vakoc; Brett E Bouma; Johannes F de Boer; Teresa C Chen Journal: Transl Vis Sci Technol Date: 2020-09-10 Impact factor: 3.283