Literature DB >> 17498974

Quantitative diffusion weighted imaging measures in patients with multiple sclerosis.

Eleonora Tavazzi1, Michael G Dwyer, Bianca Weinstock-Guttman, Jordan Lema, Stefano Bastianello, Roberto Bergamaschi, Vittorio Cosi, Ralph H B Benedict, Frederick E Munschauer, Robert Zivadinov.   

Abstract

Diffusion-weighted imaging (DWI) has been proposed as a sensitive measure of disease severity capable of detecting subtle changes in gray matter and white matter brain compartments in patients with multiple sclerosis (MS). However, DWI has been applied to the study of MS clinical subtypes in only a few studies. The objective of this study was to demonstrate the validity of a novel, fully automated method for the calculation of quantitative DWI measures. We also wanted to assess the correlation between whole brain (WB)-DWI variables and clinical and MRI measures of disease severity in a large cohort of MS patients. For this purpose we studied 432 consecutive MS patients (mean age 44.4+/-10.2 years), 16 patients with clinically isolated syndrome (CIS) and 38 normal controls (NC) using 1.5 T brain MRI. Clinical disease subtypes were as follows: 294 relapsing-remitting (RR), 123 secondary-progressive (SP) and 15 primary-progressive (PP). Mean disease duration was 12+/-10 years. Mean Expanded Disability Status Scale (EDSS) was 3.3+/-2.1. Brain parenchymal fraction (BPF), gray matter fraction (GMF) and white matter fraction (WMF) were calculated using a fully automated method. Mean parenchymal diffusivity (MPD) maps were created. DWI indices of peak position (PP), peak height (PH), MPD and entropy (ENT) were obtained. T2- and T1-lesion volumes (LV), EDSS, ambulation index (AI) and nine-hole peg test (9-HPT) were also assessed. MS patients had significantly lower BPF (d=1.26; p<0.001) and GMF (d=0.61; p=0.003), and higher ENT (d=1.2; p<0.0001), MPD (d=1.04; p<0.0001) and PH (d=0.47; p=0.045) than NC subjects. A GLM analysis, adjusted for age and multiple comparisons, revealed significant differences between different clinical subtypes for BPF, GMF, ENT, PH, PP, T2-LV and T1-LV (p<0.0001), WMF (p=0.001) and MPD (p=0.023). In RR and SP MS patients, ENT showed a more robust correlation with other MRI (r=0.54 to 0.67, p<0.0001) and clinical (r=0.31 to 0.36, p<0.0001) variables than MPD (r=0.23 to 0.41, p<0.001 for MRI and r=0.13 to 0.18; p=0.006 to p<0.001 for clinical variables). The GMF and BPF showed a slightly stronger relationship with all clinical variables (r=0.33 to 0.48; p<0.0001), when compared to both lesion and DWI measures. ENT (R2=0.28; p<0.0001) and GMF (R2=0.26; p<0.001) were best related with SP disease course. This study highlights the validity of DWI in discerning differences between NC and MS patients, as well as between different MS subtypes. ENT is a sensitive marker of overall brain damage that is strongly related to clinical impairment in patients with SP MS.

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Year:  2007        PMID: 17498974     DOI: 10.1016/j.neuroimage.2007.03.056

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


  15 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

Review 2.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

3.  Whole-lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy.

Authors:  Andrew B Rosenkrantz; Michael J Triolo; Jonathan Melamed; Henry Rusinek; Samir S Taneja; Fang-Ming Deng
Journal:  J Magn Reson Imaging       Date:  2014-02-25       Impact factor: 4.813

4.  Composite MRI scores improve correlation with EDSS in multiple sclerosis.

Authors:  A H Poonawalla; S Datta; V Juneja; F Nelson; J S Wolinsky; G Cutter; P A Narayana
Journal:  Mult Scler       Date:  2010-09       Impact factor: 6.312

5.  Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization-comparison between ADC value and ADC entropy.

Authors:  Haralambos Bougias; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Alexandra Christou
Journal:  Br J Radiol       Date:  2016-10-10       Impact factor: 3.039

6.  MRI characteristics of patients with antiphospholipid syndrome and multiple sclerosis.

Authors:  Milena Stosic; Julian Ambrus; Neeta Garg; Bianca Weinstock-Guttman; Murali Ramanathan; Bernadette Kalman; Alireza Minagar; Frederick E Munschauer; Timothy M Galey; Sara Hussein; Rohit Bakshi; Robert Zivadinov
Journal:  J Neurol       Date:  2009-07-26       Impact factor: 4.849

7.  Comparison of three different methods for measurement of cervical cord atrophy in multiple sclerosis.

Authors:  R Zivadinov; A C Banas; V Yella; N Abdelrahman; B Weinstock-Guttman; M G Dwyer
Journal:  AJNR Am J Neuroradiol       Date:  2007-11-01       Impact factor: 3.825

Review 8.  The prognostic utility of MRI in clinically isolated syndrome: a literature review.

Authors:  C Odenthal; A Coulthard
Journal:  AJNR Am J Neuroradiol       Date:  2014-05-15       Impact factor: 3.825

9.  Preserved decision making ability in early multiple sclerosis.

Authors:  S Simioni; C Ruffieux; J Kleeberg; L Bruggimann; J-M Annoni; M Schluep
Journal:  J Neurol       Date:  2008-11-13       Impact factor: 4.849

Review 10.  Diffusion-weighted imaging of the liver: an update.

Authors:  N Bharwani; D M Koh
Journal:  Cancer Imaging       Date:  2013-04-15       Impact factor: 3.909

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