Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities
Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities
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DOI：
10.18632/aging.102662
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发表时间：
2020-01-15
期刊：
影响因子：
5.2
通讯作者：
Westman, Eric
中科院分区：
文献类型：
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作者：
Cedres, Nira;Ferreira, Daniel;Westman, Eric
不同的研究经常使用不同的白质信号异常（WMSA）测量方法，这阻碍了来自不同队列的WMSA数据的组合。我们研究了三种常用的WMSA测量方法之间的关联，旨在进一步了解它们之间的关联及其潜在的互换性：Fazekas量表，病变分割工具（LST）和FreeSurfer。我们还旨在提出从LST和FreeSurfer WMSA中估计低和高Fazekas量表WMSA负担的临界值，以促进LST和FreeSurfer WMSA数据的临床使用和解释。以人群为基础的队列研究了709人（年龄均为70岁，52%为女性）。我们发现LST和FreeSurfer WMSA之间存在很强的关联，Fazekas分数与LST和FreeSurfer WMSA之间存在关联。建议的截断值LST为0.00496，FreeSurfer为0.00321（总颅内容积（TIV）校正值）。这项研究提供了Fazekas评分、高强度WMSA和低强度WMSA之间的关联数据。将LST和FreeSurfer WMSA估计转换为低和高Fazekas量表WMSA负担的建议截断值可能有助于使用FLAIR或t1加权序列的不同队列的WMSA测量结果的组合。
Different measurements of white matter signal abnormalities (WMSA) are often used across studies, which hinders combination of WMSA data from different cohorts. We investigated associations between three commonly used measurements of WMSA, aiming to further understand the association between them and their potential interchangeability: the Fazekas scale, the lesion segmentation tool (LST), and FreeSurfer. We also aimed at proposing cut-off values for estimating low and high Fazekas scale WMSA burden from LST and FreeSurfer WMSA, to facilitate clinical use and interpretation of LST and FreeSurfer WMSA data. A population-based cohort of 709 individuals (all of them 70 years old, 52% female) was investigated. We found a strong association between LST and FreeSurfer WMSA, and an association of Fazekas scores with both LST and FreeSurfer WMSA. The proposed cut-off values were 0.00496 for LST and 0.00321 for FreeSurfer (Total Intracranial volumes (TIV)-corrected values). This study provides data on the association between Fazekas scores, hyperintense WMSA, and hypointense WMSA in a large population-based cohort. The proposed cut-off values for translating LST and FreeSurfer WMSA estimations to low and high Fazekas scale WMSA burden may facilitate the combination of WMSA measurements from different cohorts that used either a FLAIR or a T1-weigthed sequence.