Vidal-Jordana A, Pareto D, Cabello S, Alberich M, Rio J, Tintore M, Auger C, Montalban X, Rovira A, Sastre-Garriga J
Servicio de Neurologia-Neuroinmunologia, Centro de Esclerosis Múltiple de Cataluña (Cemcat), Hospital Universitario Vall d'Hebron, Barcelona.
Servicio de Radiologia, Hospital Universitario Vall d'Hebron, Unidad de Resonancia Magnética, Barcelona, Spain.
Eur J Neurol. 2020 Nov;27(11):2225-2232. doi: 10.1111/ene.14421. Epub 2020 Jul 28.
Both optical coherence tomography (OCT) and magnetic resonance imaging (MRI) volumetric measures have been postulated as potential biomarkers of multiple sclerosis (MS)-related disability. The aim of the study was to investigate the association between OCT and brain volume and spinal cord area (SCA) parameters in patients with relapsing MS and to assess their independent associations with disability.
This was a cross-sectional analysis of 90 patients with MS who underwent OCT and MRI examination. Values of peripapillary retinal nerve fibre layer (pRNFL), ganglion cell/inner plexiform layer (GCIPL) and inner nuclear layer of eyes without previous optic neuritis were obtained. SCA and brain parenchymal fraction (BPF), grey and white matter fractions were obtained. Multivariable regression analyses were conducted with disability as dependent variable.
Lower pRNFL thickness and lower GCIPL volume as well as lower BPF, grey matter fraction and SCA were associated with a longer disease duration and a higher Expanded Disability Status Scale score. Lower pRNFL thickness and GCIPL volumes were associated with lower BPF and SCA. In the multivariable logistic regression analyses, pRNFL thickness and GCIPL volume outperformed MRI in predicting disability.
The OCT measures correlate with brain and spinal cord atrophy and appear more closely associated with disability than MRI volumetric measures.
光学相干断层扫描（OCT）和磁共振成像（MRI）容积测量均被认为是多发性硬化（MS）相关残疾的潜在生物标志物。本研究旨在调查复发型MS患者的OCT与脑容量和脊髓面积（SCA）参数之间的关联，并评估它们与残疾的独立关联。
这是一项对90例接受OCT和MRI检查的MS患者的横断面分析。获取了既往无视神经炎患者的视乳头周围视网膜神经纤维层（pRNFL）、神经节细胞/内丛状层（GCIPL）和内核层的值。获取了SCA和脑实质分数（BPF）、灰质和白质分数。以残疾为因变量进行多变量回归分析。
较低的pRNFL厚度、较低的GCIPL体积以及较低的BPF、灰质分数和SCA与较长的病程和较高的扩展残疾状态量表评分相关。较低的pRNFL厚度和GCIPL体积与较低的BPF和SCA相关。在多变量逻辑回归分析中，pRNFL厚度和GCIPL体积在预测残疾方面优于MRI。
OCT测量与脑和脊髓萎缩相关，并且与残疾的关联似乎比MRI容积测量更密切。
