Department of Clinical Research, University Hospital of Basel, University of Basel, Basel, Switzerland.
Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel, University of Basel, Basel, Switzerland.
Mult Scler. 2023 Nov;29(13):1540-1550. doi: 10.1177/13524585231198760. Epub 2023 Sep 29.
Optical coherence tomography (OCT) is a biomarker of neuroaxonal loss in multiple sclerosis (MS).
The objective was to assess the relative role of OCT, next to magnetic resonance imaging (MRI) and serum markers of disability in MS.
A total of 100 patients and 52 controls underwent OCT to determine peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layers (GCIPL). Serum neurofilament light chain (sNfL), total lesion volume (TLV), and brain parenchymal fraction (BPF) were also assessed. The associations of OCT with disability were examined in linear regression models with correction for age, vision, and education.
In patients, pRNFL was associated with the Symbol Digit Modalities Test (SDMT; = 0.030). In the multivariate analysis including sNfL and MRI measures, pRNFL (β = 0.19, = 0.044) and TLV (β = -0.24, = 0.023) were the only markers associated with the SDMT. pRNFL ( < 0.001) and GCIPL ( < 0.001) showed associations with the Expanded Disability Status Scale (EDSS). In the multivariate analysis, GCIPL showed the strongest association with the EDSS (β = -0.32, < 0.001) followed by sNfL (β = 0.18, = 0.024).
The associations of OCT measures with cognitive and physical disability were independent of serum and brain MRI markers of neuroaxonal loss. OCT can be an important tool for stratification in MS, while longitudinal studies using combinations of biomarkers are warranted.
光学相干断层扫描（OCT）是多发性硬化症（MS）神经轴突丢失的生物标志物。
评估 OCT 在 MS 中除磁共振成像（MRI）和血清残疾标志物之外的相对作用。
共 100 名患者和 52 名对照接受 OCT 检查，以确定视盘周围视网膜神经纤维层（pRNFL）和神经节细胞内丛状层（GCIPL）。还评估了血清神经丝轻链（sNfL）、总病变体积（TLV）和脑实质分数（BPF）。使用线性回归模型，通过校正年龄、视力和教育，检查了 OCT 与残疾的关联。
在患者中，pRNFL 与符号数字模态测试（SDMT； = 0.030）相关。在包括 sNfL 和 MRI 测量的多变量分析中，pRNFL（β = 0.19， = 0.044）和 TLV（β = -0.24， = 0.023）是与 SDMT 相关的唯一标志物。pRNFL（ < 0.001）和 GCIPL（ < 0.001）与扩展残疾状态量表（EDSS）相关。在多变量分析中，GCIPL 与 EDSS 具有最强的相关性（β = -0.32， < 0.001），其次是 sNfL（β = 0.18， = 0.024）。
OCT 测量与认知和身体残疾的相关性独立于血清和脑 MRI 神经轴突丢失标志物。OCT 可以成为 MS 分层的重要工具，而需要使用生物标志物组合进行纵向研究。
