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首页> 外文期刊>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:认知障碍和健康控制患者的白质病变评估:可靠性评级,手动和自动体积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 Tl images, which quite likely reduces validity.
机译:与年龄相关的白质病变(WML)是中风,认知下降和痴呆症的危险因素。在临床环境中评估WML的方法和研究目的的方法上施加了不同的要求,但可靠性分析具有重要意义。在本研究中,评估了具有三种不同方法的WML评估。在哥德堡轻度认知障碍研究中,来自152名参与者的MRI扫描用于评估WML,在T2图像上与Fazekas视觉评级刻度评估为WML,在T1图像上的手动体积方法和FreeSurfer容积。所有三种方法都可以接受可靠性。对于低WML卷(患者的2/3),可靠性为手动体积方法总体较低,无论是较低的。在具有手动体积的低WML患者的评估中的不可靠性可能主要是由于使用的Flair序列的强度变化;因此,必须使用强度标准化和归一化方法来进行更准确的评估。 FreeSurfer分段导致较小的WML体积比用手动方法所获得的卷,并显示出与TL图像中的可见低音屈光度的偏差,这很可能降低有效性。

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