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Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination?

机译:在脱髓鞘的第一个发作后,是否有可能区分儿科单相脱髓鞘和多发性硬化的影响?

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A first episode of acute demyelination of the central nervous system may be a monophasic transient illness or represent the first attack of multiple sclerosis (MS). This study investigates if it is possible to distinguish these two groups of patients retrospectively at the time of the first episode, in a pediatric population. For each patient, the method consists in fitting an individual brain growth curve using multiple follow-up time-points, and using this curve to predict 4 metrics at the first attack: brain volume, brain growth rate, thalamus volume normalized by the brain volume (called normalized thalamus) and normalized thalamus growth rate. These metrics were compared to age-and-sex matched healthy controls by computing z-scores. In this study, 85 patients were scanned up to 8 years after the first attack. During this follow-up period, 23 patients were subsequently diagnosed with MS (MS group). Among the 62 patients with a transient illness, 9 suffered from monophasic acute disseminated encephalomyelitis (ADEM group). The 53 remaining formed the non-ADEM monophasic (MONO) group. The normalized thalamus growth rate was the only metric that distinguished patient groups: the z-scores were significantly smaller for MS than for the MONO group (p<0.01). Whereas 93% of monophasic subjects were correctly classified with a linear discriminant analysis, only 13% of the MS subjects were correctly classified, due to a large inter-individual variability in this group.
机译:中枢神经系统的急性脱髓鞘的第一集可能是单相瞬态疾病或代表多发性硬化症(MS)的第一次攻击。本研究调查如果有可能在第一次发作的时期追溯到儿科群体时可以分解这两组患者。对于每位患者,该方法包括使用多次随访时间点拟合个体脑生长曲线,并使用该曲线在第一次攻击时预测4个度量:脑体积,脑生长速率,脑体积归一化的脑体积(称为标准化的丘脑)和标准化的丘脑生长率。将这些指标与通过计算Z分数进行了年龄和性匹配的健康控制。在这项研究中,在第一次攻击后85名患者扫描了8年。在此后续期间,随后被诊断为MS(MS组)23名患者。在62例患有短暂疾病的患者中,9例患有单一的急性易溶性脑脊髓炎(ADEM组)。剩余的53形成非Adem单相(单体)组。标准化的丘脑生长速率是象征患者组的唯一公制:Z分数对于MS的Z分数明显小于MONO组(P <0.01)。然而,由于线性判别分析,93%的单选受试者被正确分类,因此由于该组的巨大个体间可变异性,只有13%的MS受试者被正确分类。

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