Literature DB >> 22383242

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

P G Sämann1, M Knop, E Golgor, S Messler, M Czisch, F Weber.   

Abstract

BACKGROUND AND
PURPOSE: MRI markers of neuroaxonal damage in MS have emerged as critical long-term predictors of MS-related disability. Here we investigated the potential of whole-brain diffusivity and brain volume for the prediction of cross-sectional disability and short- to medium-term clinical evolution.
MATERIALS AND METHODS: In this multimodal prospective longitudinal MRI study of 54 patients with MS (87% under immunomodulatory therapy, baseline and follow-up at a median of 12 months), ADC histogram analysis, WM lesion load, BPF, whole-brain atrophy rate, MSFC score, and EDSS score were obtained. A total of 44 patients with no relapse at both time points were included.
RESULTS: At both time points, ADC histogram analysis provided robust predictors of the MSFC scores (maximal R(2) = 0.576, P < .001), incorporated cognition and fine-motor skill subscores, and EDSS scores. Significant changes beyond physiologic age-related changes at follow-up were noted for ADC histogram markers and BPF. Stronger diffusivity alterations and brain volume at baseline predicted MSFC decline, as demonstrated by multiple linear regression analysis (mean ADC, R(2) = 0.203; P = .003) and lower baseline BPF in patients with declined compared with stable MSFC scores (P = .001). Results were independent of intercurrent relapses.
CONCLUSIONS: Diffusion histogram analysis provided stable surrogates of disability in MS and proved sensitive for monitoring disease progression during a median of 12 months. Advanced neuroaxonal pathology at baseline was indicative of an increased risk for sustained progression during a median of 12 months, independent of intercurrent relapses.

Entities:  

Mesh:

Year:  2012        PMID: 22383242      PMCID: PMC7965512          DOI: 10.3174/ajnr.A2972

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


  59 in total

1.  Prediction of longitudinal brain atrophy in multiple sclerosis by gray matter magnetic resonance imaging T2 hypointensity.

Authors:  Robert A Bermel; Srinivas R Puli; Richard A Rudick; Bianca Weinstock-Guttman; Elizabeth Fisher; Frederick E Munschauer; Rohit Bakshi
Journal:  Arch Neurol       Date:  2005-09

2.  Grey matter damage predicts the evolution of primary progressive multiple sclerosis at 5 years.

Authors:  M Rovaris; E Judica; A Gallo; B Benedetti; M P Sormani; D Caputo; A Ghezzi; E Montanari; A Bertolotto; G Mancardi; R Bergamaschi; V Martinelli; G Comi; M Filippi
Journal:  Brain       Date:  2006-08-18       Impact factor: 13.501

3.  Relationship between inflammatory lesions and cerebral atrophy in multiple sclerosis.

Authors:  N D Richert; T Howard; J A Frank; R Stone; J Ostuni; J Ohayon; C Bash; H F McFarland
Journal:  Neurology       Date:  2006-02-28       Impact factor: 9.910

Review 4.  Axonal pathology in multiple sclerosis: relationship to neurologic disability.

Authors:  B D Trapp; R Ransohoff; R Rudick
Journal:  Curr Opin Neurol       Date:  1999-06       Impact factor: 5.710

5.  Quantitative diffusion measurements in focal multiple sclerosis lesions: correlations with appearance on TI-weighted MR images.

Authors:  A O Nusbaum; D Lu; C Y Tang; S W Atlas
Journal:  AJR Am J Roentgenol       Date:  2000-09       Impact factor: 3.959

6.  A longitudinal study of brain atrophy in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG).

Authors:  J H Simon; L D Jacobs; M K Campion; R A Rudick; D L Cookfair; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; N Simonian; M Lajaunie; D E Miller; K Wende; A Martens-Davidson; R P Kinkel; F E Munschauer; C M Brownscheidle
Journal:  Neurology       Date:  1999-07-13       Impact factor: 9.910

7.  Automated segmentation of multiple sclerosis lesions by model outlier detection.

Authors:  K Van Leemput; F Maes; D Vandermeulen; A Colchester; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  2001-08       Impact factor: 10.048

8.  Memory performance in multiple sclerosis patients correlates with central brain atrophy.

Authors:  H Hildebrandt; H K Hahn; J A Kraus; A Schulte-Herbrüggen; B Schwarze; G Schwendemann
Journal:  Mult Scler       Date:  2006-08       Impact factor: 6.312

9.  MR correlates of cerebral atrophy in patients with multiple sclerosis.

Authors:  Nicola De Stefano; Giuseppe Iannucci; Maria P Sormani; Leonello Guidi; Maria L Bartolozzi; Giancarlo Comi; Antonio Federico; Massimo Filippi
Journal:  J Neurol       Date:  2002-08       Impact factor: 4.849

10.  Gray and white matter volume changes in early RRMS: a 2-year longitudinal study.

Authors:  M Tiberio; D T Chard; D R Altmann; G Davies; C M Griffin; W Rashid; J Sastre-Garriga; A J Thompson; D H Miller
Journal:  Neurology       Date:  2005-03-22       Impact factor: 9.910

View more
  7 in total

1.  Tissue damage within normal appearing white matter in early multiple sclerosis: assessment by the ratio of T1- and T2-weighted MR image intensity.

Authors:  A Beer; V Biberacher; P Schmidt; R Righart; D Buck; A Berthele; J Kirschke; C Zimmer; B Hemmer; M Mühlau
Journal:  J Neurol       Date:  2016-05-13       Impact factor: 4.849

2.  Injury to white matter tracts in relapsing-remitting multiple sclerosis: A possible therapeutic window within the first 5 years from onset using diffusion-tensor imaging tract-based spatial statistics.

Authors:  Achiron Asaf; Stone Evan; Achiron Anat
Journal:  Neuroimage Clin       Date:  2015-04-30       Impact factor: 4.881

3.  Active brain changes after initiating fingolimod therapy in multiple sclerosis patients using individual voxel-based analyses for diffusion tensor imaging.

Authors:  Joe Senda; Hirohisa Watanabe; Kuniyuki Endo; Keizo Yasui; Yasuhiro Hawsegawa; Noritaka Yoneyama; Takashi Tsuboi; Kazuhiro Hara; Mizuki Ito; Naoki Atsuta; Bagarinao Epifanio; Masahisa Katsuno; Shinji Naganawa; Gen Sobue
Journal:  Nagoya J Med Sci       Date:  2016-12       Impact factor: 1.131

4.  Longitudinal MR spectroscopy of neurodegeneration in multiple sclerosis with diffusion of the intra-axonal constituent N-acetylaspartate.

Authors:  Emily Turner Wood; Ece Ercan; Pascal Sati; Irene C M Cortese; Itamar Ronen; Daniel S Reich
Journal:  Neuroimage Clin       Date:  2017-06-22       Impact factor: 4.881

5.  Diffusion tensor imaging and disability progression in multiple sclerosis: A 4-year follow-up study.

Authors:  Marcin Kolasa; Ullamari Hakulinen; Antti Brander; Sanna Hagman; Prasun Dastidar; Irina Elovaara; Marja-Liisa Sumelahti
Journal:  Brain Behav       Date:  2018-12-26       Impact factor: 2.708

6.  Parameterization of the Age-Dependent Whole Brain Apparent Diffusion Coefficient Histogram.

Authors:  Uwe Klose; Marion Batra; Thomas Nägele
Journal:  Biomed Res Int       Date:  2015-11-02       Impact factor: 3.411

7.  Quantitative measures of walking and strength provide insight into brain corticospinal tract pathology in multiple sclerosis.

Authors:  Nora E Fritz; Jennifer Keller; Peter A Calabresi; Kathleen M Zackowski
Journal:  Neuroimage Clin       Date:  2017-02-20       Impact factor: 4.881

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.