首页> 美国卫生研究院文献>Journal of Aging Research >White Matter Lesion Assessment in Patients with Cognitive Impairment and Healthy Controls: Reliability Comparisons between Visual Rating a Manual and an Automatic Volumetrical MRI Method—The Gothenburg MCI Study
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White Matter Lesion Assessment in Patients with Cognitive Impairment and Healthy Controls: Reliability Comparisons between Visual Rating a Manual and an Automatic Volumetrical MRI Method—The Gothenburg MCI Study

机译:认知障碍和健康对照患者的白色物质病变评估:视觉评估手动和自动容积MRI方法之间的可靠性比较-哥德堡MCI研究

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摘要

Age-related white matter lesions (WML) are a risk factor for stroke, cognitive decline, and dementia. Different requirements are imposed on methods for the assessment of WML in clinical settings and for research purposes, but reliability analysis is of major importance. In this study, WML assessment with three different methods was evaluated. In the Gothenburg mild cognitive impairment study, MRI scans from 152 participants were used to assess WML with the Fazekas visual rating scale on T2 images, a manual volumetric method on FLAIR images, and FreeSurfer volumetry on T1 images. Reliability was acceptable for all three methods. For low WML volumes (2/3 of the patients), reliability was overall lower and nonsignificant for the manual volumetric method. Unreliability in the assessment of patients with low WML with manual volumetry may mainly be due to intensity variation in the FLAIR sequence used; hence, intensity standardization and normalization methods must be used for more accurate assessments. The FreeSurfer segmentations resulted in smaller WML volumes than the volumes acquired with the manual method and showed deviations from visible hypointensities in the T1 images, which quite likely reduces validity.
机译:年龄相关性白质病变(WML)是中风,认知能力下降和痴呆的危险因素。对临床环境中WML的评估方法和研究目的提出了不同的要求,但是可靠性分析至关重要。在这项研究中,使用三种不同方法对WML评估进行了评估。在哥德堡轻度认知障碍研究中,使用来自152名参与者的MRI扫描,以F2图像的Fazekas视觉评分量表,FLAIR图像的手动体积法和T1图像的FreeSurfer体积法评估WML。三种方法的可靠性都可以接受。对于较低的WML量(2/3的患者),总体可靠性较低,对于手动体积法而言,意义不大。用手动容量法对低WML的患者进行评估的不可靠性可能主要是由于所使用的FLAIR序列的强度变化所致;因此,必须使用强度标准化和归一化方法进行更准确的评估。 FreeSurfer分割产生的WML体积比手动方法得到的体积小,并且显示出与T1图像中可见低强度的偏差,这很可能降低了有效性。

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