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首页> 外文期刊>NeuroImage >Hippocampal volume change measurement: Quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST
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Hippocampal volume change measurement: Quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST

机译:海马体积变化测量:定量评估专家手册概述的可重复性以及FreeSurfer和FIRST自动化方法

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Background: To measure hippocampal volume change in Alzheimer's disease (AD) or mild cognitive impairment (MCI), expert manual delineation is often used because of its supposed accuracy. It has been suggested that expert outlining yields poorer reproducibility as compared to automated methods, but this has not been investigated. Aim: To determine the reproducibilities of expert manual outlining and two common automated methods for measuring hippocampal atrophy rates in healthy aging, MCI and AD.Methods: From the Alzheimer's Disease Neuroimaging Initiative (ADNI), 80 subjects were selected: 20 patients with AD, 40 patients with mild cognitive impairment (MCI) and 20 healthy controls (HCs). Left and right hippocampal volume change between baseline and month-12 visit was assessed by using expert manual delineation, and by the automated software packages FreeSurfer (longitudinal processing stream) and FIRST. To assess reproducibility of the measured hippocampal volume change, both back-to-back (BTB) MPRAGE scans available for each visit were analyzed. Hippocampal volume change was expressed in uL, and as a percentage of baseline volume. Reproducibility of the 1-year hippocampal volume change was estimated from the BTB measurements by using linear mixed model to calculate the limits of agreement (LoA) of each method, reflecting its measurement uncertainty. Using the delta method, approximate p-values were calculated for the pairwise comparisons between methods. Statistical analyses were performed both with inclusion and exclusion of visibly incorrect segmentations.Results: Visibly incorrect automated segmentation in either one or both scans of a longitudinal scan pair occurred in 7.5% of the hippocampi for FreeSurfer and in 6.9% of the hippocampi for FIRST. After excluding these failed cases, reproducibility analysis for 1 -year percentage volume change yielded LoA of ± 7.2% for FreeSurfer, ± 9.7% for expert manual delineation, and ± 10.0% for FIRST. Methods ranked the same for reproducibility of 1-year uL volume change, with LoA of ±218 uL for FreeSurfer, ±319 uL for expert manual delineation, and ±333 uL for FIRST. Approximate p-values indicated that reproducibility was better for FreeSurfer than for manual or FIRST, and that manual and FIRST did not differ. Inclusion of failed automated segmentations led to worsening of reproducibility of both automated methods for 1-year raw and percentage volume change.Conclusion: Quantitative reproducibility values of 1-year microliter and percentage hippocampal volume change were roughly similar between expert manual outlining, FIRST and FreeSurfer, but FreeSurfer reproducibility was statistically significantly superior to both manual outlining and FIRST after exclusion of failed segmentations.
机译:背景:为了测量阿尔茨海默氏病(AD)或轻度认知障碍(MCI)的海马体积变化,由于其假定的准确性,经常使用专家手册进行描述。已经提出,与自动方法相比,专家概述产生的重现性较差,但是尚未对此进行研究。目的:为了确定专家手册概述和两种常见的自动化方法在健康衰老(MCI和AD)中测量海马萎缩率的可重复性。方法:从阿尔茨海默氏病神经影像学倡议(ADNI)中选择了80名受试者:20名AD患者, 40例轻度认知障碍(MCI)患者和20例健康对照(HCs)。通过使用专家手动描述以及自动软件包FreeSurfer(纵向处理流)和FIRST评估基线和第12个月就诊之间的左右海马体积变化。为了评估所测海马体积变化的可重复性,分析了两次可用于每次就诊的背对背(BTB)MPRAGE扫描。海马体积变化以uL表示,并以基线体积的百分比表示。通过使用线性混合模型计算每种方法的一致性极限(LoA),从BTB测量中估计了1年海马体积变化的可重复性,反映了其测量的不确定性。使用增量法,为方法之间的成对比较计算了近似的p值。结果:在FreeSurfer的7.5%海马和FIRST的6.9%的海马中,在纵向扫描对的一次或两次扫描中均出现明显错误的自动分段。在排除这些失败的案例之后,对于1年体积变化百分比的可重复性分析得出,FreeSurfer的LoA为±7.2%,专家手工划定的LoA为±9.7%,FIRST的LoA为±10.0%。方法对1年uL体积变化的可重复性排名相同,FreeSurfer的LoA为±218 uL,专家手工划定的LoA为±319 uL,FIRST的LoA为±333 uL。近似的p值表示FreeSurfer的可重复性比手动或FIRST更好,并且手动和FIRST没有区别。纳入失败的自动分割会导致两种自动方法对1年原始量和体积百分比变化的重现性恶化。结论:专家概述,FIRST和FreeSurfer之间1年微升和海马体积变化百分比的定量重现值大致相似,但在排除失败的细分后,FreeSurfer的可重复性在统计学上显着优于手动概述和FIRST。

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