Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps

  • Ryu, Wi-Sun; 
  • Woo, Sung-Ho; 
  • Schellingerhout, Dawid; 
  • Chung, Moo K.; 
  • Kim, Chi Kyung; 
  • ... Lee, Juneyoung; 
  • 외 26명
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초록

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.

키워드

cerebral infarction; leukoaraiosis; magnetic resonance imaging; topographic brain mapping; VASCULAR RISK-FACTORS; SMALL VESSEL DISEASE; BLOOD-PRESSURE; ENDOTHELIAL FUNCTION; ATRIAL-FIBRILLATION; STROKE; LESIONS; VOLUME; LEUKOARAIOSIS; DETERMINANTS
제목
Grading and Interpretation of White Matter Hyperintensities Using Statistical Maps
저자
Ryu, Wi-Sun; Woo, Sung-Ho; Schellingerhout, Dawid; Chung, Moo K.; Kim, Chi Kyung; Jang, Min Uk; Park, Kyoung-Jong; Hong, Keun-Sik; Jeong, Sang-Wuk; Na, Jeong-Yong; Cho, Ki-Hyun; Kim, Joon-Tae; Kim, Beom Joon; Han, Moon-Ku; Lee, Jun; Cha, Jae-Kwan; Kim, Dae-Hyun; Lee, Soo Joo; Ko, Youngchai; Cho, Yong-Jin; Lee, Byung-Chul; Yu, Kyung-Ho; Oh, Mi-Sun; Park, Jong-Moo; Kang, Kyusik; Lee, Kyung Bok; Park, Tai Hwan; Lee, Juneyoung; Choi, Heung-Kook; Lee, Kiwon; Bae, Hee-Joon; Kim, Dong-Eog
DOI
10.1161/STROKEAHA.114.006662
발행일
2014-12
유형
Article
저널명
Stroke
권
45
호
12
페이지
3567 ~ +