Adding Papillomacular Bundle Measurements To Standard Optical Coherence Tomography Does Not Increase Sensitivity To Detect Prior Optic Neuritis In Patients With Multiple Sclerosis

PLOS ONE(2016)

引用 5|浏览8
暂无评分
摘要
PurposeTo improve the detection of retinal nerve fiber layer (RNFL) thinning in multiple sclerosis (MS), a special peripapillary ring scanning algorithm (N-site RNFL, N-RNFL) was developed for spectral domain optical coherence tomography (SD-OCT). In contrast to the standard protocol (ST-RNFL) scanning starts nasally, not temporally, and provides an additional sector of analysis, the papillomacular bundle (PMB). We aimed to ascertain whether the temporal RNFL differs between the two techniques, whether N-RNFL is more sensitive than STRNFL to detect previous optic neuritis (ON), and whether analyzing the PMB adds additional sensitivity. Furthermore, we investigated whether RNFL is associated with disease severity and/or disease duration.MethodsWe conducted a cross-sectional case-control study of 38 patients with MS, of whom 24 had a history of ON, and 40 healthy controls (HC). Subjects with ON within the previous 6 months were excluded. Records included clinical characteristics, visual evoked potentials (VEP), and SD-OCT in both techniques.ResultsIn a total of 73 evaluable MS eyes, temporal N-RNFL was abnormal in 17.8%, temporal STRNFL in 19.2%, and the PMB-RNFL in 21.9%. In ON eyes, the sensitivity of temporal NRNFL and ST-RNFL did not differ significantly (37.0%/33.3%, p = 0.556). The sensitivity of VEP was 85.2%. RNFL thickness was associated with disease severity in all eyes, with and without a history of ON, and with disease duration.ConclusionThe two OCT techniques detected previous ON with similar sensitivity, but the sensitivity of VEPs was superior to that of both N-RNFL and ST-RNFL. Our results indicate that the widely used ST-RNFL technique is appropriate for peripapillary RNFL measurements in MS patients.
更多
查看译文
关键词
prior optical neuritis,standard optical coherence tomography,optical coherence tomography,multiple sclerosis,papillomacular bundle measurements
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要