Literature DB >> 12595189

Brain tissue volume changes in relapsing-remitting multiple sclerosis: correlation with lesion load.

Mario Quarantelli1, Andrea Ciarmiello, Vincenzo Brescia Morra, Giuseppe Orefice, Michele Larobina, Roberta Lanzillo, Vittorio Schiavone, Elena Salvatore, Bruno Alfano, Arturo Brunetti.   

Abstract

The aim of this study was to simultaneously measure in vivo volumes of gray matter (GM), normal white matter (WM), abnormal white matter (aWM), and cerebro-spinal fluid (CSF), and to assess their relationship in 50 patients with relapsing-remitting multiple sclerosis (RR-MS) (age range, 21-59; mean EDSS, 2.5; mean disease duration, 9.9 years), using an unsupervised multiparametric segmentation procedure applied to brain MR studies. Tissue volumes were normalized to total intracranial volume providing corresponding fractional volumes (fGM, faWM, fWM, and fCSF), subsequently corrected for aWM-related segmentation inaccuracies and adjusted to mean patients' age according to age-related changes measured in 54 normal volunteers (NV) (age range 16-70). In MS patients aWM was 23.8 +/- 29.8 ml (range 0.4-138.8). A significant decrease in fGM was present in MS patients as compared to NV (49.5 +/- 3.2% vs 53.3 +/- 2.1%; P < 0.0001), with a corresponding increase in fCSF (13.0 +/- 3.8% vs 9.1 +/- 2.4%; P < 0.0001). No difference could be detected between the two groups for fWM (37.5 +/- 2.6% vs 37.6 +/- 2.2%). faWM correlated inversely with fGM (R = -0.434, P < 0.001 at regression analysis), and directly with fCSF (R = 0.473, P < 0.001), but not with fWM. There was a significant correlation between disease duration and EDSS, while no relationship was found between EDSS or disease duration and fractional volumes. Brain atrophy in RR-MS is mainly related to GM loss, which correlates with faWM. Both measures do not appear to significantly affect EDSS, which correlates to disease duration.

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Year:  2003        PMID: 12595189     DOI: 10.1016/s1053-8119(02)00018-6

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

1.  Brain volume and diffusion markers as predictors of disability and short-term disease evolution in multiple sclerosis.

Authors:  P G Sämann; M Knop; E Golgor; S Messler; M Czisch; F Weber
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

2.  Key role of nuclear medicine in seeking biomarkers of Huntington's disease.

Authors:  Ferdinando Squitieri; Andrea Ciarmiello
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-06       Impact factor: 9.236

3.  Sensitivity and reproducibility of a new fast 3D segmentation technique for clinical MR-based brain volumetry in multiple sclerosis.

Authors:  Carsten Lukas; Horst K Hahn; Barbara Bellenberg; Jan Rexilius; Gebhard Schmid; Sebastian K Schimrigk; Horst Przuntek; Odo Köster; Heinz-Otto Peitgen
Journal:  Neuroradiology       Date:  2004-11-05       Impact factor: 2.804

4.  Longitudinal gray matter changes in multiple sclerosis--differential scanner and overall disease-related effects.

Authors:  Kerstin Bendfeldt; Louis Hofstetter; Pascal Kuster; Stefan Traud; Nicole Mueller-Lenke; Yvonne Naegelin; Ludwig Kappos; Achim Gass; Thomas E Nichols; Frederik Barkhof; Hugo Vrenken; Stefan D Roosendaal; Jeroen J G Geurts; Ernst-Wilhelm Radue; Stefan J Borgwardt
Journal:  Hum Brain Mapp       Date:  2011-04-29       Impact factor: 5.038

5.  Local tissue damage assessed with statistical mapping analysis of brain magnetization transfer ratio: relationship with functional status of patients in the earliest stage of multiple sclerosis.

Authors:  Jean-Philippe Ranjeva; Bertrand Audoin; My Van Au Duong; My Van Au Duong; Danielle Ibarrola; Sylviane Confort-Gouny; Irina Malikova; Elisabeth Soulier; Patrick Viout; André Ali-Chérif; Jean Pelletier; Patrick Cozzone
Journal:  AJNR Am J Neuroradiol       Date:  2005-01       Impact factor: 3.825

6.  Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images.

Authors:  Taiki Magome; Hidetaka Arimura; Shingo Kakeda; Daisuke Yamamoto; Yasuo Kawata; Yasuo Yamashita; Yoshiharu Higashida; Fukai Toyofuku; Masafumi Ohki; Yukunori Korogi
Journal:  Radiol Phys Technol       Date:  2010-09-30

Review 7.  Segmentation of multiple sclerosis lesions in MR images: a review.

Authors:  Daryoush Mortazavi; Abbas Z Kouzani; Hamid Soltanian-Zadeh
Journal:  Neuroradiology       Date:  2011-05-17       Impact factor: 2.804

8.  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

Review 9.  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

10.  Grey matter magnetization transfer ratio independently correlates with neurological deficit in secondary progressive multiple sclerosis.

Authors:  T Hayton; J Furby; K J Smith; D R Altmann; R Brenner; J Chataway; R A C Hughes; K Hunter; D J Tozer; D H Miller; R Kapoor
Journal:  J Neurol       Date:  2009-03-06       Impact factor: 4.849

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