BACKGROUND AND PURPOSE: We aimed to generate rigorous graphical and statistical reference data based on volumetric measurements for assessing the relative severity of @entity62 ( @entity62 ) in @entity1 with @entity64 . METHODS: We prospectively mapped @entity62 from 2699 @entity1 with first-ever @entity385 (mean age=66.8  13.0 years) enrolled consecutively from 11 nationwide @entity64 centers, from @entity1 (fluid-attenuated-inversion-recovery) MRIs onto a standard brain template set. Using multivariable analyses, we assessed the impact of major (age/ @entity101 ) and minor risk factors on WMH variability. RESULTS: We have produced a large reference data library showing the location and quantity of @entity62 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 @entity1 (median age=69 years), multivariable analysis showed that age, @entity101 , @entity955 , and @entity4346 were independently associated with increasing WMH (0-9.4%, median=0.6%, of the measured brain volume). For younger ( <=69) @entity101 (n=819), age and @entity4346 were positively associated with WMH. For older (>= 70) @entity101 (n=944), age and @entity165 had positive relationships with WMH, whereas @entity6 , @entity407 , and @entity955 had negative relationships with WMH. For younger nonhypertensives (n=578), age and @entity6 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/ @entity101 . Further studies are required to confirm whether the combined data set allows grading of WMH burden in individual @entity1 and a tailored @entity1 -specific interpretation in @entity385 -related clinical practice.

Grading and interpretation of XXXX using statistical maps.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity407 :: ('MESH:D006949', 'Disease') :: ['hyperlipidemia'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertensives', 'hypertension'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes mellitus'] @entity4346 :: ('MESH:D017379', 'Disease') :: ['left ventricular hypertrophy'] @entity955 :: ('MESH:D001281', 'Disease') :: ['atrial fibrillation'] @entity62 :: ('MESH:D056784', 'Disease') :: ['WMHs', 'white matter hyperintensities'] @entity165 :: ('MESH:D002784', 'Chemical') :: ['cholesterol'] @entity385 :: ('MESH:D002544', 'Disease') :: ['ischemic stroke']
@entity62 :: (MESH:D056784,Disease) :: ['white matter hyperintensities']
