Published online before print January 26, 2006, doi: 10.1161/01.STR.0000202585.26325.74
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(Stroke. 2006;37:836.)
© 2006 American Heart Association, Inc.
Original Contributions |
Impact of White Matter Hyperintensities Scoring Method on Correlations With Clinical Data
The LADIS Study
From the Department of Neurology and Alzheimer Center (E.C.W.v.S., P.S.), Image Analysis Center (E.C.W.v.S., P.S., F.B.) and Department of Radiology (F.B.) and VU Medical Center, Amsterdam, the Netherlands; Department of Neurology (F.F., R.S.), Karl Franzens University, Graz, Austria; Danish Research Center for Magnetic Resonance (E.R.) and Department of Neurology (G.W.), Copenhagen University Hospital, Denmark; Department of Neurological and Psychiatric Sciences (L.P., D.I.), University of Florence, Italy; Memory Research Unit, Department of Neurology (T.E.) and Department of Radiology (R.M.), University of Helsinki, Finland; and Department of Clinical Neuroscience (L.-O.W.), NEUROTEC, Karolinska Institutet, Huddinge University Hospital, Stockholm, Sweden.
Correspondence to Elisabeth C.W. van Straaten, Department of Neurology and Alzheimer Center, VU Medical Center, De Boelelaan 1117, PO Box 7057, 1007 MB Amsterdam, the Netherlands. E-mail i.vanstraaten{at}vumc.nl
Background and Purpose— White matter hyperintensities (WMH) are associated with decline in cognition, gait, mood, and urinary continence. Associations may depend on the method used for measuring WMH. We investigated the ability of different WMH scoring methods to detect differences in WMH load between groups with and without symptoms.
Methods— We used data of 618 independently living elderly with WMH collected in the Leukoaraiosis And DISability (LADIS) study. Subjects with and without symptoms of depression, gait disturbances, urinary incontinence, and memory decline were compared with respect to WMH load measured qualitatively using 3 widely used visual rating scales (Fazekas, Scheltens, and Age-Related White Matter Changes scales) and quantitatively with a semiautomated volumetric technique and an automatic lesion count. Statistical significance between groups was assessed with the 
2 and Mann-Whitney tests. In addition, the punctate and confluent lesion type with comparable WMH volume were compared with respect to the clinical data using Student t test and 2 test. Direct comparison of visual ratings with volumetry was done using curve fitting.
Results— Visual and volumetric assessment detected differences in WMH between groups with respect to gait disturbances and age. WMH volume measurement was more sensitive than visual scores with respect to memory symptoms. Number of lesions nor lesion type correlated with any of the clinical data. For all rating scales, a clear but nonlinear relationship was established with WMH volume.
Conclusions— Visual rating scales display ceiling effects and poor discrimination of absolute lesion volumes. Consequently, they may be less sensitive in differentiating clinical groups.
Key Words: cerebrovascular disorders • magnetic resonance imaging
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