Literature DB >> 12426036

Utility of simultaneous brain, CSF and hyperintensity quantification in dementia.

Richard H Swartz1, Sandra E Black, Anthony Feinstein, Conrad Rockel, Gal Sela, Fu Qiang Gao, Curtis B Caldwell, Michael J Bronskill.   

Abstract

Improved methods of quantifying MRI are needed to study brain-behavior relationships in dementia. Rating scales are variable; lesion-tracing approaches can be subjective and ignore atrophy; segmentation of MRI hyperintensities is complicated by partial volume effects; and hyperintense lesions in different anatomical areas may have different effects. The goal of this study was to extend existing segmentation approaches to include hyperintensities and to demonstrate the utility of simultaneously assessing atrophy and lesion compartments in dementia. A semi-automated method was applied to quantify brain and cerebrospinal fluid (CSF) compartments and to subclassify hyperintensities into periventricular, deep white matter, thalamic and basal ganglia compartments. Twenty MR scans from participants in an ongoing dementia study were used to generate intra- and inter-rater reliability estimates. High intra- and inter-class correlation coefficients (0.83-0.99) were obtained for all measures and the semi-automated measurements were highly correlated with traced volumes. Brain, CSF and specific lesion volumes were significantly correlated with neuropsychological functions. In models using only total hyperintensity volumes, the effects of lesion compartments (such as thalamic) were masked. Simultaneous quantification of atrophy and anatomically distinct hyperintensities is important for understanding cognitive impairments in dementia.

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Mesh:

Year:  2002        PMID: 12426036     DOI: 10.1016/s0925-4927(02)00068-9

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  Automated detection of white matter signal abnormality using T2 relaxometry: application to brain segmentation on term MRI in very preterm infants.

Authors:  Lili He; Nehal A Parikh
Journal:  Neuroimage       Date:  2012-09-06       Impact factor: 6.556

2.  Improving the segmentation of therapy-induced leukoencephalopathy in children with acute lymphoblastic leukemia using a priori information and a gradient magnitude threshold.

Authors:  John O Glass; Wilburn E Reddick; Cara Reeves; Ching-Hon Pui
Journal:  Magn Reson Med       Date:  2004-12       Impact factor: 4.668

3.  Anterior-medial thalamic lesions in dementia: frequent, and volume dependently associated with sudden cognitive decline.

Authors:  R H Swartz; S E Black
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-07-25       Impact factor: 10.154

4.  A fully automated method for quantifying and localizing white matter hyperintensities on MR images.

Authors:  Minjie Wu; Caterina Rosano; Meryl Butters; Ellen Whyte; Megan Nable; Ryan Crooks; Carolyn C Meltzer; Charles F Reynolds; Howard J Aizenstein
Journal:  Psychiatry Res       Date:  2006-11-13       Impact factor: 3.222

Review 5.  Quantitative morphologic evaluation of magnetic resonance imaging during and after treatment of childhood leukemia.

Authors:  Wilburn E Reddick; Fred H Laningham; John O Glass; Ching-Hon Pui
Journal:  Neuroradiology       Date:  2007-07-26       Impact factor: 2.804

6.  The Toronto prehospital hypertonic resuscitation-head injury and multi organ dysfunction trial (TOPHR HIT)--methods and data collection tools.

Authors:  Laurie J Morrison; Sandro B Rizoli; Brian Schwartz; Shawn G Rhind; Merita Simitciu; Tyrone Perreira; Russell Macdonald; Anna Trompeo; Donald T Stuss; Sandra E Black; Alex Kiss; Andrew J Baker
Journal:  Trials       Date:  2009-11-20       Impact factor: 2.279

  6 in total

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