Department of Neurology University Hospital Brno Brno Czech Republic.
Applied Neurosciences Research Group Central European Institute of Technology Masaryk University Brno Brno Czech Republic.
Brain Behav. 2017 Aug 11;7(9):e00797. doi: 10.1002/brb3.797. eCollection 2017 Sep.
OBJECTIVES: To update a previously established list of predictors for neurological cervical cord dysfunction in nonmyelopathic degenerative cervical cord compression (NMDCCC). MATERIAL AND METHODS: A prospective observational follow-up study was performed in a cohort of 112 consecutive NMDCCC subjects (55 women and 57 men; median age 59 years, range 40-79 years), either asymptomatic (40 subjects) or presenting with cervical radiculopathy or cervical pain (72 subjects), who had completed a follow-up of at least 2 years (median duration 3 years). Development of clinical signs of degenerative cervical myelopathy (DCM) as the main outcome was monitored and correlated with a large number of demographic, clinical, electrophysiological, and MRI parameters including diffusion tensor imaging characteristics (DTI) established at entry. RESULTS: Clinical evidence of the first signs and symptoms of DCM were found in 15 patients (13.4%). Development of DCM was associated with several parameters, including the clinical (radiculopathy, prolonged gait and run-time), electrophysiological (SEP, MEP and EMG signs of cervical cord dysfunction), and MRI (anteroposterior diameter of the cervical cord and cervical canal, cross-sectional area, compression ratio, type of compression, T2 hyperintensity). DTI parameters showed no significant predictive power. Multivariate analysis showed that radiculopathy, cross-sectional area (CSA) ≤ 70.1 mm, and compression ratio (CR) ≤ 0.4 were the only independent significant predictors for progression into symptomatic myelopathy. CONCLUSIONS: In addition to previously described independent predictors of DCM development (radiculopathy and electrophysiological dysfunction of cervical cord), MRI parameters, namely CSA and CR, should also be considered as significant predictors for development of DCM.
目的:更新先前建立的非脊髓型颈椎病(NMDCCC)神经源性颈脊髓功能障碍预测因子列表。
材料和方法:对 112 例连续 NMDCCC 患者(55 例女性和 57 例男性;中位年龄 59 岁,范围 40-79 岁)进行前瞻性观察随访研究,这些患者无脊髓病(40 例)或表现为颈椎神经根病或颈痛(72 例),且完成了至少 2 年(中位持续时间 3 年)的随访。主要结局是监测退行性颈髓病(DCM)的临床体征发展,并与大量人口统计学、临床、电生理学和 MRI 参数相关联,包括在入组时建立的弥散张量成像特征(DTI)。
结果:15 例患者(13.4%)发现有 DCM 的第一个体征和症状的临床证据。DCM 的发展与多个参数相关,包括临床(神经根病、步态和跑步时间延长)、电生理学(SEP、MEP 和颈脊髓功能障碍的肌电图迹象)和 MRI(颈脊髓前后径、颈管横截面积、压缩比、压迫类型、T2 高信号)。DTI 参数无显著预测能力。多变量分析表明,神经根病、横截面积(CSA)≤70.1mm 和压缩比(CR)≤0.4 是进展为症状性脊髓病的唯一独立显著预测因子。
结论:除了先前描述的 DCM 发展的独立预测因子(神经根病和颈脊髓电生理学功能障碍)外,MRI 参数,即 CSA 和 CR,也应被视为 DCM 发展的显著预测因子。
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