Literature DB >> 15164192

White matter hyperintensities and rating scales-observer reliability varies with lesion load.

Joanna M Wardlaw1, Karen J Ferguson, Catriona Graham.   

Abstract

BACKGROUND: Cerebral white matter hyperintensities (WMHs) are common in older people. Their presence correlates with cognitive decline and vascular risk factors. Various scales have been developed to quantify the amount and type of WMH, but with few observer reliability studies. We evaluated several scales in different cohorts to determine their observer reliability.
METHODS: Two observers independently rated T2-weighted MR images from five groups (total n = 494: normal older subjects [97]; patients with minor stroke [221]; young insulin dependent diabetics [141]; maturity onset diabetics [10]; and hepatic encephalopathy [25]), using seven rating scales (Breteler, Fazekas, Longstreth, Mirsen, Shimada, Van Swieten and Wahlund). Inter-observer reliability was determined using Kappa statistics.
RESULTS: Patients with maturity onset diabetes had the most WMHs and young insulin-dependent diabetics the least. Inter-observer reliability varied with the amount of WMH. In maturity onset diabetics (most WMHs) the weighted Kappas were: Breteler 0.74; Fazekas 0.89 and 0.72; Van Swieten 0.76 and 0.88; and in young insulin-dependent diabetics (least WMH): Breteler 0.3; Fazekas 0.2 and 0.24; Van Swieten 0.39 and 0.30. These findings were consistent across the groups.
CONCLUSION: WMH rating scale performance varied with WMH prevalence, and hence with subject cohort. In patients with most WMHs the apparent better kappas may reflect a "ceiling effect" rather than true better agreement. These factors should be considered in studies where risk factors for, or associations with, the early development of WMHs are being determined.

Entities:  

Mesh:

Year:  2004        PMID: 15164192     DOI: 10.1007/s00415-004-0371-x

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  16 in total

1.  The impact of MRI combined with visual rating scales on the clinical diagnosis of dementia: a prospective study.

Authors:  Martijn V Verhagen; Gerard L Guit; Gerrit Jan Hafkamp; Kees Kalisvaart
Journal:  Eur Radiol       Date:  2015-08-29       Impact factor: 5.315

2.  Quantifying the effects of normal ageing on white matter structure using unsupervised tract shape modelling.

Authors:  Mark E Bastin; Susana Muñoz Maniega; Karen J Ferguson; Laura J Brown; Joanna M Wardlaw; Alasdair M J MacLullich; Jonathan D Clayden
Journal:  Neuroimage       Date:  2010-02-17       Impact factor: 6.556

Review 3.  The Gothenburg MCI study: Design and distribution of Alzheimer's disease and subcortical vascular disease diagnoses from baseline to 6-year follow-up.

Authors:  Anders Wallin; Arto Nordlund; Michael Jonsson; Karin Lind; Åke Edman; Mattias Göthlin; Jacob Stålhammar; Marie Eckerström; Silke Kern; Anne Börjesson-Hanson; Mårten Carlsson; Erik Olsson; Henrik Zetterberg; Kaj Blennow; Johan Svensson; Annika Öhrfelt; Maria Bjerke; Sindre Rolstad; Carl Eckerström
Journal:  J Cereb Blood Flow Metab       Date:  2016-01       Impact factor: 6.200

4.  Neuroimaging of Cerebral Blood Flow and Sodium in Women with Lipedema.

Authors:  Kalen J Petersen; Maria Garza; Paula M C Donahue; Kevin D Harkins; Adriana Marton; Jens Titze; Manus J Donahue; Rachelle Crescenzi
Journal:  Obesity (Silver Spring)       Date:  2020-07       Impact factor: 5.002

5.  Enlarged perivascular spaces are associated with cognitive function in healthy elderly men.

Authors:  A M J Maclullich; J M Wardlaw; K J Ferguson; J M Starr; J R Seckl; I J Deary
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-11       Impact factor: 10.154

6.  New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images.

Authors:  Maria del C Valdés Hernández; Karen J Ferguson; Francesca M Chappell; Joanna M Wardlaw
Journal:  Eur Radiol       Date:  2010-02-16       Impact factor: 5.315

7.  White matter abnormalities and cognition in a community sample.

Authors:  Tracy D Vannorsdall; Shari R Waldstein; Michael Kraut; Godfrey D Pearlson; David J Schretlen
Journal:  Arch Clin Neuropsychol       Date:  2009-07-18       Impact factor: 2.813

8.  Reproducibility of detecting silent cerebral infarcts in pediatric sickle cell anemia.

Authors:  Robert I Liem; Jingxia Liu; Mae O Gordon; Bruce A Vendt; Robert C McKinstry; Michael A Kraut; John J Strouse; William S Ball; Michael R DeBaun
Journal:  J Child Neurol       Date:  2013-12-05       Impact factor: 1.987

9.  Metric to quantify white matter damage on brain magnetic resonance images.

Authors:  Maria Del C Valdés Hernández; Francesca M Chappell; Susana Muñoz Maniega; David Alexander Dickie; Natalie A Royle; Zoe Morris; Devasuda Anblagan; Eleni Sakka; Paul A Armitage; Mark E Bastin; Ian J Deary; Joanna M Wardlaw
Journal:  Neuroradiology       Date:  2017-08-16       Impact factor: 2.804

10.  Brain atrophy associations with white matter lesions in the ageing brain: the Lothian Birth Cohort 1936.

Authors:  Benjamin S Aribisala; Maria C Valdés Hernández; Natalie A Royle; Zoe Morris; Susana Muñoz Maniega; Mark E Bastin; Ian J Deary; Joanna M Wardlaw
Journal:  Eur Radiol       Date:  2012-11-01       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.