Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
Department of Statistical Sciences, Trinity College of Arts and Sciences, Duke University, 214 Old Chemistry Bldg, Box 90251, Durham, NC, 27708, USA.
Eur J Paediatr Neurol. 2020 May;26:15-19. doi: 10.1016/j.ejpn.2020.02.001. Epub 2020 Feb 13.
Quantitative MRI is increasingly being used as a biomarker in neurological disorders. Cerebellar atrophy occurs in some Alternating Hemiplegia of Childhood (AHC) patients. However, it is not known if cerebellar atrophy can be a potential biomarker in AHC or if quantitative MRI is a reliable method to address this question. Here we determine the reproducibility of an MRI-volumetrics method to investigate brain volumes in AHC and apply it to a population of 14 consecutive AHC patients (ages 4-11 years). We studied method reproducibility in the first 11 patients and then performed correlation of cerebellar volumes, relative to published normal population means, with age in all 14. We used FreeSurfer 6.0.0 to automatically segment MRI images, then performed manual resegmentation correction by two different observers. No significant differences were observed in any of ten brain regions between the two reviewers: p > .591 and interclass Correlation Coefficient (ICC) ≥0.975 in all comparisons. Additionally, there were no significant differences between the means of the two reviewers and the automatic segmentation values: p ≥ .106 and ICC ≥0.994 in all comparisons. We found a negative correlation between cerebellar volume and age (R = -0.631, p = .037), even though only one patient showed any cerebellar atrophy upon formal readings of the MRIs by neuroradiology. Sample size did not allow us to rule out potential confounding variables. Thus, findings from this cross-sectional study should be considered as exploratory. Our study supports the prospective investigation of quantitative MRI-volumetrics of the cerebellum as a potential biomarker in AHC.
定量 MRI 正越来越多地被用作神经疾病的生物标志物。一些儿童交替性偏瘫(AHC)患者会出现小脑萎缩。然而,目前尚不清楚小脑萎缩是否可以作为 AHC 的潜在生物标志物,或者定量 MRI 是否是解决这个问题的可靠方法。在这里,我们确定了一种 MRI 容积测量方法来研究 AHC 患者的脑容量的可重复性,并将其应用于 14 名连续 AHC 患者(年龄 4-11 岁)的人群中。我们首先在前 11 名患者中研究了方法的可重复性,然后在所有 14 名患者中,将小脑体积与已发表的正常人群平均值进行了相关性分析。我们使用 FreeSurfer 6.0.0 自动分割 MRI 图像,然后由两名不同的观察者进行手动分割校正。在两名观察者之间,十个脑区中的任何一个脑区之间的差异均无统计学意义:p>.591,所有比较的组内相关系数(ICC)≥0.975。此外,两名观察者的平均值与自动分割值之间没有显著差异:p≥.106,所有比较的 ICC≥0.994。我们发现小脑体积与年龄之间存在负相关(R=-0.631,p=0.037),尽管只有一名患者在神经放射学对 MRI 的正式阅读中显示出任何小脑萎缩。样本量不足以排除潜在的混杂变量。因此,这项横断面研究的结果应被视为探索性的。我们的研究支持对 AHC 小脑定量 MRI 容积作为潜在生物标志物的前瞻性研究。