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年龄和阿尔茨海默病对海马亚区的影响:手动测量与FreeSurfer容积测量的比较

Effects of age and Alzheimer's disease on hippocampal subfields: comparison between manual and FreeSurfer volumetry.

作者信息

de Flores Robin, La Joie Renaud, Landeau Brigitte, Perrotin Audrey, Mézenge Florence, de La Sayette Vincent, Eustache Francis, Desgranges Béatrice, Chételat Gaël

机构信息

INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France.

出版信息

Hum Brain Mapp. 2015 Feb;36(2):463-74. doi: 10.1002/hbm.22640. Epub 2014 Sep 18.

Abstract

Growing interest has developed in hippocampal subfield volumetry over the past few years and an increasing number of studies use the automatic segmentation algorithm implemented in FreeSurfer. However, this approach has not been validated on standard resolution T1-weighted magnetic resonance (MR) as used in most studies. We aimed at comparing hippocampal subfield segmentation using FreeSurfer on standard T1-weighted images versus manual delineation on dedicated high-resolution hippocampal scans. Hippocampal subfields were segmented in 133 individuals including 98 cognitively normal controls aged 19-84 years, 17 mild cognitive impairment and 18 Alzheimer's disease (AD) patients using both methods. Intraclass correlation coefficients (ICC) and Bland-Altman plots were computed to assess the consistency between both methods, and the effects of age and diagnosis were assessed from both measures. Low to moderate ICC (0.31-0.74) were found for the subiculum and other subfields as well as for the whole hippocampus, and the correlations were very low for cornu ammonis (CA)1 (<0.1). FreeSurfer CA1 volume estimates were found to be much lower than those obtained from manual segmentation, and this bias was proportional to the volume of this structure so that no effect of age or AD could be detected on FreeSurfer CA1 volumes. This study points to the differences in the anatomic definition of the subfields between FreeSurfer and manual delineation, especially for CA1, and provides clue for improvement of this automatic technique for potential clinical application on standard T1-weighted MR.

摘要

在过去几年中,人们对海马体亚区容积测量的兴趣日益浓厚,越来越多的研究使用FreeSurfer中实现的自动分割算法。然而,这种方法尚未在大多数研究中使用的标准分辨率T1加权磁共振(MR)上得到验证。我们旨在比较在标准T1加权图像上使用FreeSurfer进行海马体亚区分割与在专用高分辨率海马扫描上进行手动描绘的情况。使用这两种方法对133名个体的海马体亚区进行了分割,其中包括98名年龄在19至84岁之间的认知正常对照、17名轻度认知障碍患者和18名阿尔茨海默病(AD)患者。计算了组内相关系数(ICC)和Bland-Altman图以评估两种方法之间的一致性,并从这两种测量中评估年龄和诊断的影响。发现下托和其他亚区以及整个海马体的ICC较低至中等(0.31 - 0.74),而海马角(CA)1的相关性非常低(<0.1)。发现FreeSurfer对CA1体积的估计远低于手动分割获得的估计值,并且这种偏差与该结构的体积成比例,因此在FreeSurfer的CA1体积上未检测到年龄或AD的影响。这项研究指出了FreeSurfer和手动描绘之间亚区解剖定义的差异,特别是对于CA1,并为改进这种自动技术以在标准T1加权MR上进行潜在临床应用提供了线索。

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