Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK.
Department of Pharmacology, University of Oxford, Oxford, UK.
Brain. 2017 Mar 1;140(3):617-627. doi: 10.1093/brain/aww350.
Brain imaging characteristics of MOG antibody disease are largely unknown and it is unclear whether they differ from those of multiple sclerosis and AQP4 antibody disease. The aim of this study was to identify brain imaging discriminators between those three inflammatory central nervous system diseases in adults and children to support diagnostic decisions, drive antibody testing and generate disease mechanism hypotheses. Clinical brain scans of 83 patients with brain lesions (67 in the training and 16 in the validation cohort, 65 adults and 18 children) with MOG antibody (n = 26), AQP4 antibody disease (n = 26) and multiple sclerosis (n = 31) recruited from Oxford neuromyelitis optica and multiple sclerosis clinical services were retrospectively and anonymously scored on a set of 29 predefined magnetic resonance imaging features by two independent raters. Principal component analysis was used to perform an overview of patients without a priori knowledge of the diagnosis. Orthogonal partial least squares discriminant analysis was used to build models separating diagnostic groups and identify best classifiers, which were then tested on an independent cohort set. Adults and children with MOG antibody disease frequently had fluffy brainstem lesions, often located in pons and/or adjacent to fourth ventricle. Children across all conditions showed more frequent bilateral, large, brainstem and deep grey matter lesions. MOG antibody disease spontaneously separated from multiple sclerosis but overlapped with AQP4 antibody disease. Multiple sclerosis was discriminated from MOG antibody disease and from AQP4 antibody disease with high predictive values, while MOG antibody disease could not be accurately discriminated from AQP4 antibody disease. Best classifiers between MOG antibody disease and multiple sclerosis were similar in adults and children, and included ovoid lesions adjacent to the body of lateral ventricles, Dawson's fingers, T1 hypointense lesions (multiple sclerosis), fluffy lesions and three lesions or less (MOG antibody). In the validation cohort patients with antibody-mediated conditions were differentiated from multiple sclerosis with high accuracy. Both antibody-mediated conditions can be clearly separated from multiple sclerosis on conventional brain imaging, both in adults and children. The overlap between MOG antibody oligodendrocytopathy and AQP4 antibody astrocytopathy suggests that the primary immune target is not the main substrate for brain lesion characteristics. This is also supported by the clear distinction between multiple sclerosis and MOG antibody disease both considered primary demyelinating conditions. We identify discriminatory features, which may be useful in classifying atypical multiple sclerosis, seronegative neuromyelitis optica spectrum disorders and relapsing acute disseminated encephalomyelitis, and characterizing cohorts for antibody discovery.
脑成像特征的mog 抗体疾病在很大程度上是未知的,也不清楚它们是否有别于多发性硬化症和 aq4 抗体疾病。本研究的目的是确定这些三种炎症性中枢神经系统疾病在成人和儿童之间的脑成像鉴别诊断,以支持诊断决策,推动抗体检测,并产生疾病机制假说。对来自牛津视神经脊髓炎和多发性硬化症临床服务的 83 名有脑病变患者(训练队列 67 名,验证队列 16 名,成人 65 名,儿童 18 名)的临床脑部扫描进行了回顾性匿名评分,由两名独立的评分者对 29 个预先设定的磁共振成像特征进行评分。主成分分析用于对无诊断先验知识的患者进行概述。正交偏最小二乘判别分析用于建立分离诊断组的模型,并识别最佳分类器,然后在独立的队列集上进行测试。mog 抗体病的成人和儿童常有绒毛状脑干病变,常位于脑桥和/或邻近第四脑室。所有情况下的儿童都更频繁地出现双侧、大的、脑干和深部灰质病变。mog 抗体病与多发性硬化症自动分离,但与 aq4 抗体病重叠。多发性硬化症与 mog 抗体病和 aq4 抗体病的预测值高,而 mog 抗体病不能准确地区分与 aq4 抗体病。成人和儿童中,mog 抗体病与多发性硬化症的最佳分类器相似,包括侧脑室体旁的卵圆形病变、道森氏指、t1 低信号病变(多发性硬化症)、绒毛状病变和三个或更少病变(mog 抗体)。在验证队列中,抗体介导的疾病患者与多发性硬化症的鉴别准确率很高。在成人和儿童中,抗体介导的疾病都可以在常规脑部成像上与多发性硬化症明显区分开来。mog 抗体少突胶质细胞病与 aq4 抗体星形胶质细胞病的重叠表明,主要免疫靶标不是脑病变特征的主要底物。这也得到了多发性硬化症和 mog 抗体病之间的明确区分的支持,两者都被认为是原发性脱髓鞘疾病。我们确定了鉴别特征,这些特征可能有助于对非典型多发性硬化症、血清阴性视神经脊髓炎谱系疾病和复发性急性播散性脑脊髓炎进行分类,并对抗体发现进行特征化队列。