Literature DB >> 15471374

Frontal parenchymal atrophy measures in multiple sclerosis.

Laura Locatelli1, Robert Zivadinov, Attilio Grop, Marino Zorzon.   

Abstract

The aim of this study was to establish whether, in a cross-sectional study, the normalized measures of whole and regional brain atrophy correlate better with tests assessing the cognitive function than the absolute brain atrophy measures. The neuropsychological performances and disability have been assessed in 39 patients with relapsing-remitting multiple sclerosis (MS). T1- and T2-lesion load (LL) of total brain and frontal lobes (FLs) were measured using a reproducible semiautomated technique. The whole brain volume and the regional brain parenchymal volume (RBPV) of FLs were obtained using a computerized interactive program, which incorporates semiautomated and automated segmentation processes. Normalized measures of brain atrophy, i.e., brain parenchymal fraction (BPF) and regional brain parenchymal fraction (RBPF) of FLs, were calculated. The scan-rescan, inter- and intrarater coefficient of variation (COV) and intraclass correlation coefficient (ICC) have been estimated. The RBPF of FLs showed an acceptable level of reproducibility which ranged from 1.7% for intrarater variability to 3.2% for scan-rescan variability. The mean ICC was 0.88 (CI 0.82-0.93). The RBPF of FLs demonstrated stronger magnitudes of correlation with neuropsychological functioning, disability and quantitative MRI lesion measures than RBPV. These differences were statistically significant: P<0.001 for Stroop Color Word Interference test, P<0.001 for Paced Auditory Serial Addition Test, P=0.04 for Standard Raven Progressive Matrices, P=0.049 for Expanded Disability Status Scale, P=0.01 for T2-LL of FLs and P<0.001 for T1-LL of FLs. BPF demonstrated significant correlations with tests assessing cognitive functions, whereas BPAV did not. The correlation analysis results were supported by the results of multiple regression analysis which showed that only the normalized brain atrophy measures were associated with tests exploring the cognitive functions. These data suggest that RBPF is a reproducible and sensitive method for measuring frontal parenchymal atrophy. The normalized measures of whole and regional brain parenchymal atrophy should be preferred to absolute measures in future studies that correlate neuropsychological performances and brain atrophy measures in patients with MS.

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Year:  2004        PMID: 15471374     DOI: 10.1191/1352458504ms1093oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  7 in total

1.  MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Authors:  Kerstin Bendfeldt; Bernd Taschler; Laura Gaetano; Philip Madoerin; Pascal Kuster; Nicole Mueller-Lenke; Michael Amann; Hugo Vrenken; Viktor Wottschel; Frederik Barkhof; Stefan Borgwardt; Stefan Klöppel; Eva-Maria Wicklein; Ludwig Kappos; Gilles Edan; Mark S Freedman; Xavier Montalbán; Hans-Peter Hartung; Christoph Pohl; Rupert Sandbrink; Till Sprenger; Ernst-Wilhelm Radue; Jens Wuerfel; Thomas E Nichols
Journal:  Brain Imaging Behav       Date:  2019-10       Impact factor: 3.978

2.  Regional lobar atrophy predicts memory impairment in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov; Dominic A Carone; Bianca Weinstock-Guttman; Jeff Gaines; Cosimo Maggiore; Jitendra Sharma; Maria-Antonietta Tomassi; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2005-08       Impact factor: 3.825

Review 3.  Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review.

Authors:  Blandine Grassiot; Béatrice Desgranges; Francis Eustache; Gilles Defer
Journal:  J Neurol       Date:  2009-04-08       Impact factor: 4.849

Review 4.  Relationship between brain volume loss and cognitive outcomes among patients with multiple sclerosis: a systematic literature review.

Authors:  Timothy Vollmer; Lynn Huynh; Caroline Kelley; Philip Galebach; James Signorovitch; Allitia DiBernardo; Rahul Sasane
Journal:  Neurol Sci       Date:  2015-11-04       Impact factor: 3.307

5.  Evaluating sub-clinical cognitive dysfunction and event-related potentials (P300) in clinically isolated syndrome.

Authors:  Belgin Kocer; Tugba Unal; Bijen Nazliel; Zeynep Biyikli; Zulal Yesilbudak; Sirel Karakas; Ceyla Irkec
Journal:  Neurol Sci       Date:  2008-11-11       Impact factor: 3.307

Review 6.  Correlations between MRI and Information Processing Speed in MS: A Meta-Analysis.

Authors:  S M Rao; A L Martin; R Huelin; E Wissinger; Z Khankhel; E Kim; K Fahrbach
Journal:  Mult Scler Int       Date:  2014-03-25

7.  Comparison of Brain Atrophy, Cognition and Optical Coherence Tomography Results Between Multiple Sclerosis Patients and Healthy Controls.

Authors:  Şükran Yurtoğulları; Özlem Taşkapılıoğlu; Burkay Öztürk; Başar Bilgiç; Bahattin Hakyemez; Nevin Türkeş; Öner Gelişken; Ömer Faruk Turan; Mustafa Bakar
Journal:  Noro Psikiyatr Ars       Date:  2018-03-19       Impact factor: 1.339

  7 in total

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