Literature DB >> 12634497

Age-related brain parenchymal fraction is significantly decreased in young multiple sclerosis patients: a quantitative MRI study.

Jan Kassubek1, Hayrettin Tumani, Daniel Ecker, Anja Kurt, Albert C Ludolph, Freimut D Juengling.   

Abstract

The extent of brain atrophy was determined in 33 patients with multiple sclerosis (MS) and in 60 healthy subjects (21-76 years) by calculating brain parenchymal fractions (BPF, the ratio of brain parenchymal to intracranial volume) from 3D MRI. Within the normal data base, subjects at higher ages showed significantly lower BPF values. In younger MS patients, BPF was significantly decreased compared with age-matched controls (20-29 years, p= 0.0022; 30-39 years, =p 0.0001; 40-49 years,p = 0.0444) and was significantly correlated with disease duration and disease severity, but not with the number of detectable MS lesions. Determination of age-related BPF demonstrated significant brain atrophy in early MS and can be considered as a useful biological marker for monitoring MS.

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Year:  2003        PMID: 12634497     DOI: 10.1097/00001756-200303030-00026

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  6 in total

1.  Automated determination of brain parenchymal fraction in multiple sclerosis.

Authors:  M Vågberg; T Lindqvist; K Ambarki; J B M Warntjes; P Sundström; R Birgander; A Svenningsson
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-13       Impact factor: 3.825

2.  Human brain atlas-based multimodal MRI analysis of volumetry, diffusimetry, relaxometry and lesion distribution in multiple sclerosis patients and healthy adult controls: implications for understanding the pathogenesis of multiple sclerosis and consolidation of quantitative MRI results in MS.

Authors:  Khader M Hasan; Indika S Walimuni; Humaira Abid; Sushmita Datta; Jerry S Wolinsky; Ponnada A Narayana
Journal:  J Neurol Sci       Date:  2011-10-05       Impact factor: 3.181

3.  Corpus callosum index and long-term disability in multiple sclerosis patients.

Authors:  Ozgür Yaldizli; Ramin Atefy; Achim Gass; Dietrich Sturm; Stephanie Glassl; Barbara Tettenborn; Norman Putzki
Journal:  J Neurol       Date:  2010-03-03       Impact factor: 4.849

4.  Rapid quantification of global brain volumetry and relaxometry in patients with multiple sclerosis using synthetic magnetic resonance imaging.

Authors:  Jibin Cao; Xiaohan Xu; Jingyi Zhu; Puyeh Wu; Huize Pang; Guoguang Fan; Lingling Cui
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 5.  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 6.  SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.

Authors:  Akifumi Hagiwara; Marcel Warntjes; Masaaki Hori; Christina Andica; Misaki Nakazawa; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Invest Radiol       Date:  2017-10       Impact factor: 6.016

  6 in total

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