Literature DB >> 9259759

Variable agreement between visual rating scales for white matter hyperintensities on MRI. Comparison of 13 rating scales in a poststroke cohort.

R Mäntylä1, T Erkinjuntti, O Salonen, H J Aronen, T Peltonen, T Pohjasvaara, C G Standertskjöld-Nordenstam.   

Abstract

BACKGROUND AND
PURPOSE: Previous reports on the frequency, extent, and clinical correlates of white matter hyperintensities (WMHIs) have been contradictory. The purpose of this study was to test whether part of this variation could be explained by the different properties of the visual WMHI rating scales used.
METHODS: The periventricular (PVHIs) and deep white matter (DWMHIs) hyperintensities of 395 poststroke patients were systematically analyzed and transformed to correspond to 13 different rating scales. The scales were compared with the use of Goodman-Kruskal measures of association. The relative frequencies, means, and medians of PVHI and DWMHI grades as well as Spearman rank correlations between WMHI grade and hypertension were calculated.
RESULTS: At best more than 80% of the patients received an equivalent WMHI grade by different scales, but at worst the corresponding values were only 0.4% for PVHI and 18% for DWMHI. At best different scales categorized patients similarly in regard to WMHI grade, but at worst the corresponding values were 8% for PVHI and 57% for DWMHI ratings. The distribution of WMHI grades also varied, and when the effect of age on WMHI was assessed, some of the scales had a ceiling effect and some had a floor effect. Only 1 of the 7 PVHI, 5 of the 9 DWMHI, and 1 of the 3 combined rating scales showed a significant correlation with arterial hypertension, a putative risk factor for WMHIs.
CONCLUSIONS: Some of the inconsistencies in previous studies of WMHIs are due to differences in visual rating scales. Our findings may warrant international debate regarding harmonization of WMHI ratings.

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Mesh:

Year:  1997        PMID: 9259759     DOI: 10.1161/01.str.28.8.1614

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  43 in total

1.  White matter lesions on magnetic resonance imaging in dementia with Lewy bodies, Alzheimer's disease, vascular dementia, and normal aging.

Authors:  R Barber; P Scheltens; A Gholkar; C Ballard; I McKeith; P Ince; R Perry; J O'Brien
Journal:  J Neurol Neurosurg Psychiatry       Date:  1999-07       Impact factor: 10.154

2.  Impact of White Matter Lesions on Depression in the Patients with Alzheimer's Disease.

Authors:  Jung Jae Lee; Eun Young Lee; Seok Bum Lee; Joon Hyuk Park; Tae Hui Kim; Hyun-Ghang Jeong; Jae Hyoung Kim; Ji Won Han; Ki Woong Kim
Journal:  Psychiatry Investig       Date:  2015-09-30       Impact factor: 2.505

Review 3.  Neuroradiological findings in vascular dementia.

Authors:  Ali Guermazi; Yves Miaux; Alex Rovira-Cañellas; Joyce Suhy; Jon Pauls; Ria Lopez; Holly Posner
Journal:  Neuroradiology       Date:  2006-11-18       Impact factor: 2.804

4.  Subcortical lacunes are associated with executive dysfunction in cognitively normal elderly.

Authors:  Catherine L Carey; Joel H Kramer; S Andrew Josephson; Dan Mungas; Bruce R Reed; Norbert Schuff; Michael W Weiner; Helena C Chui
Journal:  Stroke       Date:  2007-12-20       Impact factor: 7.914

5.  An automated procedure for the assessment of white matter hyperintensities by multispectral (T1, T2, PD) MRI and an evaluation of its between-centre reproducibility based on two large community databases.

Authors:  Pauline Maillard; Nicolas Delcroix; Fabrice Crivello; Carole Dufouil; Sebastien Gicquel; Marc Joliot; Nathalie Tzourio-Mazoyer; Annick Alpérovitch; Christophe Tzourio; Bernard Mazoyer
Journal:  Neuroradiology       Date:  2007-10-16       Impact factor: 2.804

6.  Incidental periventricular white matter hyperintensities revisited: what detailed morphologic image analyses can tell us.

Authors:  F Fazekas
Journal:  AJNR Am J Neuroradiol       Date:  2013-07-25       Impact factor: 3.825

7.  Cognitive profile of subcortical ischaemic vascular disease.

Authors:  H Jokinen; H Kalska; R Mäntylä; T Pohjasvaara; R Ylikoski; M Hietanen; O Salonen; M Kaste; T Erkinjuntti
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-01       Impact factor: 10.154

8.  White matter hyperintensities as a predictor of neuropsychological deficits post-stroke.

Authors:  H Jokinen; H Kalska; R Mäntylä; R Ylikoski; M Hietanen; T Pohjasvaara; M Kaste; T Erkinjuntti
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-09       Impact factor: 10.154

9.  Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine.

Authors:  Zhiqiang Lao; Dinggang Shen; Dengfeng Liu; Abbas F Jawad; Elias R Melhem; Lenore J Launer; R Nick Bryan; Christos Davatzikos
Journal:  Acad Radiol       Date:  2008-03       Impact factor: 3.173

10.  Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors.

Authors:  Yvette I Sheline; Joseph L Price; S Neil Vaishnavi; Mark A Mintun; Deanna M Barch; Adrian A Epstein; Consuelo H Wilkins; Abraham Z Snyder; Lars Couture; Kenneth Schechtman; Robert C McKinstry
Journal:  Am J Psychiatry       Date:  2008-02-15       Impact factor: 18.112

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