XXXX Detection Ability of Macular Ganglion Cell-Inner Plexiform Layer Thickness in Myopic @entity726 .

@entity735 @entity726
Purpose: We evaluated the @entity726 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 @entity726 ( @entity726 ). Methods: We analyzed 353 eyes, including 67 nonmyopic preperimetric @entity735 , 182 @entity735 , and 104 myopic preperimetric @entity735 . Myopic @entity726 detection abilities of the respective parameters were assessed by calculating the area under receiver operating characteristic (AUROC) curves. The @entity735 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 @entity726 from @entity735 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 @entity726 -detection parameter for @entity735 . Inferotemporal macular GCIPL thickness evaluation can be considered to be a useful means of diagnosing @entity726 in @entity735 .
