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Grading and interpretation of white matter hyperintensities using statistical maps

Authors :
Kiwon Lee
Young-Chai Ko
Dae-Hyun Kim
Dawid Schellingerhout
Kyung Ho Yu
Jeong Yong Na
Moo K. Chung
Joon-Tae Kim
Hee-Joon Bae
Dong-Eog Kim
Soo Joo Lee
Tai Hwan Park
Kyusik Kang
Jong-Moo Park
Mi Sun Oh
Ki-Hyun Cho
Kyung Bok Lee
Beom Joon Kim
Jae Kwan Cha
Byung-Chul Lee
Jun Lee
Min Uk Jang
Sung Ho Woo
Kyoung-Jong Park
Heung-Kook Choi
Juneyoung Lee
Keun-Sik Hong
Chi Kyung Kim
Moon Ku Han
Yong-Jin Cho
Wi Sun Ryu
Sang Wuk Jeong
Source :
Stroke. 45(12)
Publication Year :
2014

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.

Details

ISSN :
15244628
Volume :
45
Issue :
12
Database :
OpenAIRE
Journal :
Stroke
Accession number :
edsair.doi.dedup.....76405cbde1d8a1ea484cae34f99d2672