In the Journals

Grid-wise analyses of RNFL thickness superior for early stage glaucoma diagnosis

Grid-wise analyses of retinal nerve fiber layer thickness were superior in determining the diagnosis of early stage glaucoma, using spectral-domain optical coherence tomography, a study found.

The study included 89 eyes with open-angle glaucoma and 89 age-matched normal eyes that underwent SD-OCT to examine peripapillary retinal nerve fiber layer (RNFL) thickness. RNFL thickness was measured using the grid method, the annulus method or the circle method.

The grid method, with any five adjoining 0.21 x 0.21-mm grid locations and stringent cut-off, gained superior power of sensitivity and specificity of 0.94 and 0.96, respectively, with significantly higher sensitivity (P < .001). The annulus method and circle method yielded lower power of sensitivity and specificity (0.81/0.98 and 0.76/0.97 with 30° sectors, respectively).

Disclosure: All authors have been paid by Topcon to attend meetings regarding acquisition of data. Makoto Araie, MD, and Nagahisa Yoshimura, MD, PhD, are paid members of the advisory board for Topcon.

Grid-wise analyses of retinal nerve fiber layer thickness were superior in determining the diagnosis of early stage glaucoma, using spectral-domain optical coherence tomography, a study found.

The study included 89 eyes with open-angle glaucoma and 89 age-matched normal eyes that underwent SD-OCT to examine peripapillary retinal nerve fiber layer (RNFL) thickness. RNFL thickness was measured using the grid method, the annulus method or the circle method.

The grid method, with any five adjoining 0.21 x 0.21-mm grid locations and stringent cut-off, gained superior power of sensitivity and specificity of 0.94 and 0.96, respectively, with significantly higher sensitivity (P < .001). The annulus method and circle method yielded lower power of sensitivity and specificity (0.81/0.98 and 0.76/0.97 with 30° sectors, respectively).

Disclosure: All authors have been paid by Topcon to attend meetings regarding acquisition of data. Makoto Araie, MD, and Nagahisa Yoshimura, MD, PhD, are paid members of the advisory board for Topcon.