海马萎缩自动估计规范及迈向适用于意大利人群的一步。

Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population.

作者信息

De Francesco Silvia, Galluzzi Samantha, Vanacore Nicola, Festari Cristina, Rossini Paolo Maria, Cappa Stefano F, Frisoni Giovanni B, Redolfi Alberto

机构信息

Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.

Laboratory of Alzheimer's Neuroimaging and Epidemiology - LANE, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.

出版信息

Front Neurosci. 2021 Jun 28;15:656808. doi: 10.3389/fnins.2021.656808. eCollection 2021.

Abstract

INTRODUCTION

Hippocampal volume is one of the main biomarkers of Alzheimer's Dementia (AD). Over the years, advanced tools that performed automatic segmentation of Magnetic Resonance Imaging (MRI) T13D scans have been developed, such as FreeSurfer (FS) and ACM-Adaboost (AA). Hippocampal volume is considered abnormal when it is below the 5th percentile of the normative population. The aim of this study was to set norms, established from the Alzheimer's Disease Neuroimaging Initiative (ADNI) population, for hippocampal volume measured with FS v.6.0 and AA tools in the neuGRID platform (www.neugrid2.eu) and demonstrate their applicability for the Italian population.

METHODS

Norms were set from a large group of 545 healthy controls belonging to ADNI. For each pipeline, subjects with segmentation errors were discarded, resulting in 532 valid segmentations for FS and 421 for AA (age range 56-90 years). The comparability of ADNI and the Italian Brain Normative Archive (IBNA), representative of the Italian general population, was assessed testing clinical variables, neuropsychological scores and normalized hippocampal volumes. Finally, percentiles were validated using the Italian Alzheimer's disease Repository Without Borders (ARWiBo) as external independent data set to evaluate FS and AA generalizability.

RESULTS

Hippocampal percentiles were checked with the chi-square goodness of fit test. -values were not significant, showing that FS and AA algorithm distributions fitted the data well. Clinical, neuropsychological and volumetric features were similar in ADNI and IBNA ( > 0.01). Hippocampal volumes measured with both FS and AA were associated with age ( < 0.001). The 5th percentile thresholds, indicating left/right hippocampal atrophy were respectively: (i) below 3,223/3,456 mm at 56 years and 2,506/2,415 mm at 90 years for FS; (ii) below 4,583/4,873 mm at 56 years and 3,831/3,870 mm at 90 years for AA. The average volumes computed on 100 cognitively intact healthy controls (CN) selected from ARWiBo were close to the 50th percentiles, while those for 100 AD patients were close to the abnormal percentiles.

DISCUSSION

Norms generated from ADNI through the automatic FS and AA segmentation tools may be used as normative references for Italian patients with suspected AD.

摘要

引言

海马体体积是阿尔茨海默病(AD)的主要生物标志物之一。多年来,已经开发出了能对磁共振成像(MRI)T1 3D扫描进行自动分割的先进工具,如FreeSurfer(FS)和ACM - Adaboost(AA)。当海马体体积低于正常人群的第5百分位数时,被认为是异常的。本研究的目的是根据阿尔茨海默病神经影像倡议(ADNI)人群制定规范,用于在neuGRID平台(www.neugrid2.eu)上使用FS v.6.0和AA工具测量的海马体体积,并证明其对意大利人群的适用性。

方法

从一大组545名属于ADNI的健康对照中制定规范。对于每个流程,丢弃有分割错误的受试者,FS得到532个有效分割,AA得到421个有效分割(年龄范围56 - 90岁)。通过测试临床变量、神经心理学评分和标准化海马体体积,评估ADNI与代表意大利普通人群的意大利脑规范档案库(IBNA)的可比性。最后,使用意大利无疆界阿尔茨海默病知识库(ARWiBo)作为外部独立数据集来验证百分位数,以评估FS和AA的通用性。

结果

用卡方拟合优度检验检查海马体百分位数。p值不显著,表明FS和AA算法分布与数据拟合良好。ADNI和IBNA的临床、神经心理学和体积特征相似(p > 0.01)。用FS和AA测量的海马体体积均与年龄相关(p < 0.001)。表明左/右海马体萎缩的第5百分位数阈值分别为:(i)FS在56岁时低于3223/3456立方毫米,在90岁时低于2506/2415立方毫米;(ii)AA在56岁时低于4583/4873立方毫米,在90岁时低于3831/3870立方毫米。从ARWiBo中选出的100名认知完好的健康对照(CN)计算出的平均体积接近第50百分位数,而100名AD患者的平均体积接近异常百分位数。

讨论

通过自动FS和AA分割工具从ADNI生成的规范可作为疑似AD的意大利患者的规范参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d704/8273578/68435e0fdeb5/fnins-15-656808-g001.jpg

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