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Effects of Age and Alzheimer's Disease on Hippocampal Subfields: Comparison Between Manual and FreeSurfer Volumetry

机译:年龄和阿尔茨海默氏病对海马亚区的影响:手动和FreeSurfer量表之间的比较

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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. Hum Brain Mapp 36:463-474, 2015. (c) 2014 Wiley Periodicals, Inc.
机译:在过去的几年中,海马子领域的容量越来越引起人们的兴趣,越来越多的研究使用在FreeSurfer中实现的自动分割算法。但是,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进行海马亚场分割与在专用高分辨率海马扫描中进行手动描绘的比较。使用这两种方法将海马亚场分为133个个体,其中包括98个19-84岁的认知正常对照,17个轻度认知障碍和18个阿尔茨海默氏病(AD)患者。计算类内相关系数(ICC)和Bland-Altman图以评估两种方法之间的一致性,并从两种方法评估年龄和诊断的影响。在下丘脑和其他子区域以及整个海马中发现了低至中等的ICC(0.31-0.74),而角膜氨化(CA)1的相关性非常低(<0.1)。发现FreeSurfer CA1的体积估算值比通过手动分段获得的估算值低得多,并且该偏差与该结构的体积成比例,因此,无法检测到年龄或AD对FreeSurfer CA1体积的影响。这项研究指出了FreeSurfer和手动划定之间的子区域在解剖学定义上的差异,尤其是对于CA1,并为改进这种自动技术以在标准T1加权MR上的潜在临床应用提供了线索。嗡嗡声脑图36:463-474,2015.(c)2014威利期刊公司

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