Literature DB >> 23811980

Morphologic, distributional, volumetric, and intensity characterization of periventricular hyperintensities.

M C Valdés Hernández1, R J Piper, M E Bastin, N A Royle, S Muñoz Maniega, B S Aribisala, C Murray, I J Deary, J M Wardlaw.   

Abstract

BACKGROUND AND
PURPOSE: White matter hyperintensities are characteristic of old age and identifiable on FLAIR and T2-weighted MR imaging. They are typically separated into periventricular or deep categories. It is unclear whether the innermost segment of periventricular white matter hyperintensities is truly abnormal or is imaging artifacts.
MATERIALS AND METHODS: We used FLAIR MR imaging from 665 community-dwelling subjects 72-73 years of age without dementia. Periventricular white matter hyperintensities were visually allocated into 4 categories: 1) thin white line; 2) thick rim; 3) penetrating toward or confluent with deep white matter hyperintensities; and 4) diffuse ill-defined, labeled as "subtle extended periventricular white matter hyperintensities." We measured the maximum intensity and width of the periventricular white matter hyperintensities, mapped all white matter hyperintensities in 3D, and investigated associations between each category and hypertension, stroke, diabetes, hypercholesterolemia, cardiovascular disease, and total white matter hyperintensity volume.
RESULTS: The intensity patterns and morphologic features were different for each periventricular white matter hyperintensity category. Both the widths (r = 0.61, P < .001) and intensities (r = 0.51, P < .001) correlated with total white matter hyperintensity volume and with each other (r = 0.55, P < .001) for all categories with the exception of subtle extended periventricular white matter hyperintensities, largely characterized by evidence of erratic, ill-defined, and fragmented pale white matter hyperintensities (width: r = 0.02, P = .11; intensity: r = 0.02, P = .84). The prevalence of hypertension, hypercholesterolemia, and neuroradiologic evidence of stroke increased from periventricular white matter hyperintensity categories 1 to 3. The mean periventricular white matter hyperintensity width was significantly larger in subjects with hypertension (mean difference = 0.5 mm, P = .029) or evidence of stroke (mean difference = 1 mm, P < .001). 3D mapping revealed that periventricular white matter hyperintensities were discontinuous with deep white matter hyperintensities in all categories, except only in particular regions in brains with category 3.
CONCLUSIONS: Periventricular white matter hyperintensity intensity levels, distribution, and association with risk factors and disease suggest that in old age, these are true tissue abnormalities and therefore should not be dismissed as artifacts. Dichotomizing periventricular and deep white matter hyperintensities by continuity from the ventricle edge toward the deep white matter is possible.

Entities:  

Mesh:

Year:  2013        PMID: 23811980      PMCID: PMC7966482          DOI: 10.3174/ajnr.A3612

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  32 in total

Review 1.  Progression of cerebral white matter lesions -- clinical and radiological considerations.

Authors:  Christian Enzinger; Franz Fazekas; Stefan Ropele; Reinhold Schmidt
Journal:  J Neurol Sci       Date:  2007-02-23       Impact factor: 3.181

2.  Construction of periventricular white matter hyperintensity maps by spatial normalization of the lateral ventricles.

Authors:  Cynthia Jongen; Jeroen van der Grond; Petronella Anbeek; Max A Viergever; Geert Jan Biessels; Josien P W Pluim
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

3.  Brain aging, cognition in youth and old age and vascular disease in the Lothian Birth Cohort 1936: rationale, design and methodology of the imaging protocol.

Authors:  Joanna M Wardlaw; Mark E Bastin; Maria C Valdés Hernández; Susana Muñoz Maniega; Natalie A Royle; Zoe Morris; Jonathan D Clayden; Elaine M Sandeman; Elizabeth Eadie; Catherine Murray; John M Starr; Ian J Deary
Journal:  Int J Stroke       Date:  2011-12       Impact factor: 5.266

Review 4.  Pathogenesis of leukoaraiosis: a review.

Authors:  L Pantoni; J H Garcia
Journal:  Stroke       Date:  1997-03       Impact factor: 7.914

5.  Lesion Explorer: a comprehensive segmentation and parcellation package to obtain regional volumetrics for subcortical hyperintensities and intracranial tissue.

Authors:  J Ramirez; E Gibson; A Quddus; N J Lobaugh; A Feinstein; B Levine; C J M Scott; N Levy-Cooperman; F Q Gao; S E Black
Journal:  Neuroimage       Date:  2010-09-19       Impact factor: 6.556

6.  Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH, and total WMH burden.

Authors:  Charles DeCarli; Evan Fletcher; Vincent Ramey; Danielle Harvey; William J Jagust
Journal:  Stroke       Date:  2004-12-02       Impact factor: 7.914

7.  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

8.  The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals.

Authors:  Wei Wen; Perminder Sachdev
Journal:  Neuroimage       Date:  2004-05       Impact factor: 6.556

9.  Automated measurement of local white matter lesion volume.

Authors:  Fedde van der Lijn; Benjamin F J Verhaaren; M Arfan Ikram; Stefan Klein; Marleen de Bruijne; Henri A Vrooman; Meike W Vernooij; Alexander Hammers; Daniel Rueckert; Aad van der Lugt; Monique M B Breteler; Wiro J Niessen
Journal:  Neuroimage       Date:  2011-11-11       Impact factor: 6.556

Review 10.  The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond.

Authors:  Ian J Deary; Alan J Gow; Michelle D Taylor; Janie Corley; Caroline Brett; Valerie Wilson; Harry Campbell; Lawrence J Whalley; Peter M Visscher; David J Porteous; John M Starr
Journal:  BMC Geriatr       Date:  2007-12-05       Impact factor: 3.921

View more
  13 in total

1.  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

2.  Association of white matter hyperintensities with low serum 25-hydroxyvitamin D levels.

Authors:  J M Prager; C Thomas; W J Ankenbrandt; J R Meyer; Y Gao; A Ragin; S Sidharthan; R Hutten; Y G Wu
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-16       Impact factor: 3.825

3.  White Matter Lesions in Mild Cognitive Impairment and Idiopathic Parkinson's Disease: Multimodal Advanced MRI and Cognitive Associations.

Authors:  Swati Rane; Julia Owen; Daniel S Hippe; Brenna Cholerton; Cyrus P Zabetian; Tom Montine; Thomas J Grabowski
Journal:  J Neuroimaging       Date:  2020-09-16       Impact factor: 2.486

Review 4.  What are white matter hyperintensities made of? Relevance to vascular cognitive impairment.

Authors:  Joanna M Wardlaw; Maria C Valdés Hernández; Susana Muñoz-Maniega
Journal:  J Am Heart Assoc       Date:  2015-06-23       Impact factor: 5.501

5.  White matter disease in midlife is heritable, related to hypertension, and shares some genetic influence with systolic blood pressure.

Authors:  Christine Fennema-Notestine; Linda K McEvoy; Randy Notestine; Matthew S Panizzon; Wai-Ying Wendy Yau; Carol E Franz; Michael J Lyons; Lisa T Eyler; Michael C Neale; Hong Xian; Ruth E McKenzie; William S Kremen
Journal:  Neuroimage Clin       Date:  2016-10-06       Impact factor: 4.881

6.  Impact of homocysteine levels on clinical outcome in patients with acute ischemic stroke receiving intravenous thrombolysis therapy.

Authors:  Lei Li; Xiaoye Ma; Li Zeng; Sajan Pandey; Ronghao Wan; Rui Shen; Quanbin Zhang
Journal:  PeerJ       Date:  2020-07-10       Impact factor: 2.984

7.  Bilateral Distance Partition of Periventricular and Deep White Matter Hyperintensities: Performance of the Method in the Aging Brain.

Authors:  Jingyun Chen; Artem V Mikheev; Han Yu; Matthew D Gruen; Henry Rusinek; Yulin Ge
Journal:  Acad Radiol       Date:  2020-10-27       Impact factor: 3.173

8.  Homocysteine Level Is Associated with White Matter Hyperintensity Locations in Patients with Acute Ischemic Stroke.

Authors:  Yuan Gao; Sen Wei; Bo Song; Jie Qin; Hui Fang; Yan Ji; Rui Zhang; Shilei Sun; Yuming Xu
Journal:  PLoS One       Date:  2015-12-07       Impact factor: 3.240

9.  On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology.

Authors:  Maria Del C Valdés Hernández; Victor González-Castro; Dina T Ghandour; Xin Wang; Fergus Doubal; Susana Muñoz Maniega; Paul A Armitage; Joanna M Wardlaw
Journal:  Neuroradiology       Date:  2016-01-30       Impact factor: 2.804

10.  Comparison and validation of seven white matter hyperintensities segmentation software in elderly patients.

Authors:  Quentin Vanderbecq; Eric Xu; Sebastian Ströer; Baptiste Couvy-Duchesne; Mauricio Diaz Melo; Didier Dormont; Olivier Colliot
Journal:  Neuroimage Clin       Date:  2020-07-22       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.