Accrual of MRI white matter abnormalities in elderly with normal and impaired mobility

Accrual of MRI white matter abnormalities in elderly with normal and impaired mobility
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DOI:
10.1016/j.jns.2004.12.017
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发表时间:
2005-05-15
影响因子:
4.4
通讯作者:
Guttmann, CRG
Guttmann, CRG
中科院分区:
医学3区
文献类型:
--
作者:
Wolfson, L;Wei, XC;Guttmann, CRG

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白质信号异常(WMSA)常出现在老年人的核磁共振成像与行动障碍。我们研究了活动能力受损与WMSA累进性累积之间的关系。通过短物理性能电池(SPPB)和步态和平衡的定量测量来评估活动能力。14名受试者进行了基线和后续MRI扫描,间隔20个月。使用自动计算机算法检测和量化WMSA。对照组WMSA体积增加0.02 +/- 0.05% ICCV(颅腔容积百分比)/年,而活动障碍组WMSA增加速度快5倍(0.10 +/- 0.10 ICCV/年,p=0.03)。WMSA体积与一些移动性测量有关,对变化敏感,而其他MRI变量则不如此。该研究证明了WMSA纵向自动体积分析在区分根据移动性选择的组中WMSA累积率的差异方面的敏感性。基于这些结果,我们认为部分活动障碍患者与疾病相关的WMSA增加速度加快,从而解释了一些老年人在没有明显原因的情况下活动障碍的快速进展。本研究表明,定量MRI和性能测量可以提供有价值的洞察进展速度和病理生理异常潜在的行动障碍。(c) 2005 Elsevier B.V.版权所有
White matter signal abnormality (WMSA) is often present in the MRIs of older persons with mobility impairment. We examined the relationship between impaired mobility and the progressive accrual of WMSA. Mobility was assessed with the Short Physical Performance Battery (SPPB) and quantitative measures of gait and balance. Fourteen subjects had baseline and follow-up MRI scans performed 20 months apart. WMSA was detected and quantified using automated computer algorithms. In the control subjects, WMSA volume increased by 0.02 +/- 0.05% ICCV (percent intracranial cavity volume)/year while the WMSA of mobility impaired subjects increased five-times faster (0.10 +/- 0.10 ICCV/year, p=0.03). WMSA volume was related to some of the mobility measures and was sensitive to change which was not true of the other MRI variables. The study demonstrates the sensitivity of longitudinal automated volumetric analysis of WMSA to differentiate differences in the accrual rate of WMSA in groups selected on the basis of mobility. Based on these results, we propose that a subset of subjects with mobility impairment have accelerated, disease related WMSA accrual, thus explaining the rapid progression of mobility impairment in some older persons without apparent cause. This study demonstrates that quantitative MRI and performance measures can provide valuable insight into the rate of progression and pathophysiologic abnormalities underlying mobility impairment. (c) 2005 Elsevier B.V. All rights reserved.