Popescu Veronica, Schoonheim Menno M, Versteeg Adriaan, Chaturvedi Nimisha, Jonker Marianne, Xavier de Menezes Renee, Gallindo Garre Francisca, Uitdehaag Bernard M J, Barkhof Frederik, Vrenken Hugo
Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam (NCA), VU University Medical Center, Amsterdam, The Netherlands.
Department of Anatomy and Neurosciences, Neuroscience Campus Amsterdam (NCA), VU University Medical Center, Amsterdam, The Netherlands.
PLoS One. 2016 Jan 8;11(1):e0143942. doi: 10.1371/journal.pone.0143942. eCollection 2016.
Studies disagree on the location of grey matter (GM) atrophy in the multiple sclerosis (MS) brain.
To examine the consistency between FSL, FreeSurfer, SPM for GM atrophy measurement (for volumes, patient/control discrimination, and correlations with cognition).
127 MS patients and 50 controls were included and cortical and deep grey matter (DGM) volumetrics were performed. Consistency of volumes was assessed with Intraclass Correlation Coefficient/ICC. Consistency of patients/controls discrimination was assessed with Cohen's d, t-tests, MANOVA and a penalized double-loop logistic classifier. Consistency of association with cognition was assessed with Pearson correlation coefficient and ANOVA. Voxel-based morphometry (SPM-VBM and FSL-VBM) and vertex-wise FreeSurfer were used for group-level comparisons.
The highest volumetry ICC were between SPM and FreeSurfer for cortical regions, and the lowest between SPM and FreeSurfer for DGM. The caudate nucleus and temporal lobes had high consistency between all software, while amygdala had lowest volumetric consistency. Consistency of patients/controls discrimination was largest in the DGM for all software, especially for thalamus and pallidum. The penalized double-loop logistic classifier most often selected the thalamus, pallidum and amygdala for all software. FSL yielded the largest number of significant correlations. DGM yielded stronger correlations with cognition than cortical volumes. Bilateral putamen and left insula volumes correlated with cognition using all methods.
GM volumes from FreeSurfer, FSL and SPM are different, especially for cortical regions. While group-level separation between MS and controls is comparable, correlations between regional GM volumes and clinical/cognitive variables in MS should be cautiously interpreted.
关于多发性硬化症（MS）患者大脑灰质（GM）萎缩的位置，各项研究结果存在分歧。
检验FSL、FreeSurfer、SPM在测量GM萎缩方面（包括体积、区分患者/对照以及与认知的相关性）的一致性。
纳入127例MS患者和50例对照，进行皮质和深部灰质（DGM）体积测量。使用组内相关系数（ICC）评估体积的一致性。使用科恩d值、t检验、多变量方差分析（MANOVA）和惩罚双环逻辑分类器评估区分患者/对照的一致性。使用皮尔逊相关系数和方差分析评估与认知相关性的一致性。基于体素的形态测量法（SPM-VBM和FSL-VBM）以及逐顶点的FreeSurfer用于组间比较。
皮质区域中，SPM与FreeSurfer之间的体积测量ICC最高，而DGM中SPM与FreeSurfer之间的最低。尾状核和颞叶在所有软件之间具有高度一致性，而杏仁核的体积一致性最低。所有软件在DGM中区分患者/对照的一致性最大，尤其是丘脑和苍白球。惩罚双环逻辑分类器在所有软件中最常选择丘脑、苍白球和杏仁核。FSL产生的显著相关性数量最多。DGM与认知的相关性比皮质体积更强。使用所有方法，双侧壳核和左侧岛叶体积与认知相关。
FreeSurfer、FSL和SPM测量的GM体积不同，尤其是皮质区域。虽然MS与对照之间的组间分离具有可比性，但MS中区域GM体积与临床/认知变量之间的相关性应谨慎解读。
