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Multicenter Study
. 2014 Dec;45(12):3567-75.
doi: 10.1161/STROKEAHA.114.006662. Epub 2014 Nov 11.

Grading and interpretation of white matter hyperintensities using statistical maps

Affiliations
Multicenter Study

Grading and interpretation of white matter hyperintensities using statistical maps

Wi-Sun Ryu et al. Stroke. 2014 Dec.

Erratum in

  • Correction.
    [No authors listed] [No authors listed] Stroke. 2015 Sep;46(9):e223. doi: 10.1161/STR.0000000000000078. Stroke. 2015. PMID: 26304870 No abstract available.

Abstract

Background and purpose: We aimed to generate rigorous graphical and statistical reference data based on volumetric measurements for assessing the relative severity of white matter hyperintensities (WMHs) in patients with stroke.

Methods: We prospectively mapped WMHs from 2699 patients with first-ever ischemic stroke (mean age=66.8±13.0 years) enrolled consecutively from 11 nationwide stroke centers, from patient (fluid-attenuated-inversion-recovery) MRIs onto a standard brain template set. Using multivariable analyses, we assessed the impact of major (age/hypertension) and minor risk factors on WMH variability.

Results: We have produced a large reference data library showing the location and quantity of WMHs as topographical frequency-volume maps. This easy-to-use graphical reference data set allows the quantitative estimation of the severity of WMH as a percentile rank score. For all patients (median age=69 years), multivariable analysis showed that age, hypertension, atrial fibrillation, and left ventricular hypertrophy were independently associated with increasing WMH (0-9.4%, median=0.6%, of the measured brain volume). For younger (≤69) hypertensives (n=819), age and left ventricular hypertrophy were positively associated with WMH. For older (≥70) hypertensives (n=944), age and cholesterol had positive relationships with WMH, whereas diabetes mellitus, hyperlipidemia, and atrial fibrillation had negative relationships with WMH. For younger nonhypertensives (n=578), age and diabetes mellitus were positively related to WMH. For older nonhypertensives (n=328), only age was positively associated with WMH.

Conclusions: We have generated a novel graphical WMH grading (Kim statistical WMH scoring) system, correlated to risk factors and adjusted for age/hypertension. Further studies are required to confirm whether the combined data set allows grading of WMH burden in individual patients and a tailored patient-specific interpretation in ischemic stroke-related clinical practice.

Keywords: cerebral infarction; leukoaraiosis; magnetic resonance imaging; topographic brain mapping.

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