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年龄分层健康人群的脑实质分数——通过MRI使用手动分割和三种自动分割方法确定。

Brain parenchymal fraction in an age-stratified healthy population - determined by MRI using manual segmentation and three automated segmentation methods.

作者信息

Vågberg Mattias, Ambarki Khalid, Lindqvist Thomas, Birgander Richard, Svenningsson Anders

机构信息

Department of Pharmacology and Clinical Neuroscience, Section of Neuroscience, Umeå University, 90185 Umeå, Sweden.

Department of Radiation Sciences, Umeå University, Umeå, Sweden; Centre for Biomedical Engineering and Physics, Umeå University, Umeå, Sweden.

出版信息

J Neuroradiol. 2016 Dec;43(6):384-391. doi: 10.1016/j.neurad.2016.08.002. Epub 2016 Oct 5.

Abstract

BACKGROUND AND PURPOSE

Brain atrophy is a prominent feature in many neurodegenerative diseases, such as multiple sclerosis, but age-related decrease of brain volume occurs regardless of pathological neurodegeneration. Changes in brain volume can be described by use of the brain parenchymal fraction (BPF), most often defined as the ratio of total brain parenchyma to total intracranial space. The BPF is of interest both in research and in clinical practice. To be able to properly interpret this variable, the normal range of BPF must be known. The objective of this study is to present normal values for BPF, stratified by age, and compare manual BPF measurement to three automated methods.

MATERIALS AND METHODS

The BPFs of 106 healthy individuals aged 21 to 85 years were determined by the automated segmentation methods SyMap, VBM8 and SPM12. In a subgroup of 54 randomly selected individuals, the BPF was also determined by manual segmentation.

RESULTS

The median (IQR) BPFs of the whole study population were 0.857 (0.064), 0.819 (0.028) and 0.784 (0.073) determined by SyMap, VBM8 and SPM12, respectively. The BPF decreased with increasing age. The correlation coefficients between manual segmentation and SyMap, VBM8 and SPM12 were 0.93 (P<0.001), 0.77 (P<0.001) and 0.56 (P<0.001), respectively.

CONCLUSIONS

There was a clear relationship between increasing age and decreasing BPF. Knowledge of the range of normal BPF in relation to age group will help in the interpretation of BPF data. The automated segmentation methods displayed varying degrees of similarity to the manual reference, with SyMap being the most similar.

摘要

背景与目的

脑萎缩是许多神经退行性疾病(如多发性硬化症)的一个显著特征,但与年龄相关的脑容量减少在无病理性神经退变的情况下也会发生。脑容量的变化可用脑实质分数(BPF)来描述,通常将其定义为全脑实质与总颅内空间的比值。BPF在研究和临床实践中都备受关注。为了能够正确解释这一变量,必须了解BPF的正常范围。本研究的目的是给出按年龄分层的BPF正常值,并将手动测量BPF与三种自动测量方法进行比较。

材料与方法

采用SyMap、VBM8和SPM12自动分割方法测定了106名年龄在21至85岁之间的健康个体的BPF。在随机选取的54名个体的亚组中,还通过手动分割测定了BPF。

结果

整个研究人群的BPF中位数(四分位间距)通过SyMap、VBM8和SPM12测定分别为0.857(0.064)、0.819(0.028)和0.784(0.073)。BPF随年龄增长而降低。手动分割与SyMap、VBM8和SPM12之间的相关系数分别为0.93(P<0.001)、0.77(P<0.001)和0.56(P<0.001)。

结论

年龄增长与BPF降低之间存在明显关系。了解与年龄组相关的正常BPF范围将有助于解释BPF数据。自动分割方法与手动参考显示出不同程度的相似性,其中SyMap最为相似。

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