Retinal ganglion cell layer volumetric assessment by spectral-domain optical coherence tomography in multiple sclerosis: application of a high-precision manual estimation technique.
Retinal ganglion cell layer volumetric assessment by spectral-domain optical coherence tomography in multiple sclerosis: application of a high-precision manual estimation technique.
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通过谱域光学相干断层扫描对多发性硬化症进行视网膜神经节细胞层体积评估：高精度手动估计技术的应用。
DOI：
10.1097/wno.0b013e318221b434
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发表时间：
2011-09
期刊：
影响因子：
--
通讯作者：
Balcer LJ
中科院分区：
文献类型：
--
作者：
Davies EC;Galetta KM;Sackel DJ;Talman LS;Frohman EM;Calabresi PA;Galetta SL;Balcer LJ
Neuronal loss in the retina has been demonstrated pathologically in eyes of patients with multiple sclerosis (MS). In vivo, MS eyes have reduced total macular volumes by optical coherence tomography (OCT). Using high-resolution spectral-domain OCT, this pilot study used a manual method to measure ganglion cell layer (GCL) volumes and to determine the relation of these volumes to visual function in MS eyes. Sixteen eyes of eight patients with MS and eight eyes of five disease-free control participants were studied using fast macular OCT scans performed with Spectralis OCT (Heidelberg Engineering). Visual function tests of low-contrast letter acuity and high-contrast visual acuity (VA) were administered. MS patient eyes had significantly lower GCL volumes than the control eyes (p<0.001 vs. controls, GEE regression models accounting for age and within-patient, inter-eye correlations). Within the MS group, eyes with a prior history of optic neuritis (ON, n=4) had significantly lower GCL volumes than MS eyes with no ON history (P<0.001). In contrast to measures of high-contrast VA (P=0.14), decreased GCL volumes were associated with worse performance on low-contrast letter acuity testing (P=0.003). This pilot study has characterized thinning of the GCL in MS patient eyes, particularly in those with a history of acute ON, which corresponded to a reduced performance on low-contrast letter acuity testing. Studies utilizing computerized segmentation algorithms will continue to facilitate the detection of GCL loss on a larger scale and provide important information in vivo on the role and timing of neuronal vs. axonal loss in MS eyes.
