Quantitative diffusion weighted imaging measures in patients with multiple sclerosis
- PMID: 17498974
- DOI: 10.1016/j.neuroimage.2007.03.056
Quantitative diffusion weighted imaging measures in patients with multiple sclerosis
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.
Similar articles
-
Diffusion-weighted imaging predicts cognitive impairment in multiple sclerosis.Mult Scler. 2007 Jul;13(6):722-30. doi: 10.1177/1352458507075592. Epub 2007 Mar 15. Mult Scler. 2007. PMID: 17613599
-
HLA-DRB1*1501, -DQB1*0301, -DQB1*0302, -DQB1*0602, and -DQB1*0603 alleles are associated with more severe disease outcome on MRI in patients with multiple sclerosis.Int Rev Neurobiol. 2007;79:521-35. doi: 10.1016/S0074-7742(07)79023-2. Int Rev Neurobiol. 2007. PMID: 17531857
-
Determinants of disability in multiple sclerosis at various disease stages: a multiparametric magnetic resonance study.Arch Neurol. 2007 Aug;64(8):1163-8. doi: 10.1001/archneur.64.8.1163. Arch Neurol. 2007. PMID: 17698707
-
Diffusion tensor magnetic resonance imaging in multiple sclerosis.J Neuroimaging. 2005;15(4 Suppl):68S-81S. doi: 10.1177/1051228405283363. J Neuroimaging. 2005. PMID: 16385020 Review.
-
T1- and T2-based MRI measures of diffuse gray matter and white matter damage in patients with multiple sclerosis.J Neuroimaging. 2007 Apr;17 Suppl 1:16S-21S. doi: 10.1111/j.1552-6569.2007.00131.x. J Neuroimaging. 2007. PMID: 17425729 Review.
Cited by
-
Comparison of three different methods for measurement of cervical cord atrophy in multiple sclerosis.AJNR Am J Neuroradiol. 2008 Feb;29(2):319-25. doi: 10.3174/ajnr.A0813. Epub 2007 Nov 1. AJNR Am J Neuroradiol. 2008. PMID: 17974604 Free PMC article.
-
A semi-automated measuring system of brain diffusion and perfusion magnetic resonance imaging abnormalities in patients with multiple sclerosis based on the integration of coregistration and tissue segmentation procedures.BMC Med Imaging. 2016 Jan 14;16:4. doi: 10.1186/s12880-016-0108-1. BMC Med Imaging. 2016. PMID: 26762399 Free PMC article.
-
Diffusion-weighted imaging of the liver: an update.Cancer Imaging. 2013 Apr 15;13(2):171-85. doi: 10.1102/1470-7330.2013.0019. Cancer Imaging. 2013. PMID: 23598460 Free PMC article. Review.
-
Complexity Analysis of Resting-State fMRI in Adult Patients with Attention Deficit Hyperactivity Disorder: Brain Entropy.Comput Intell Neurosci. 2017;2017:3091815. doi: 10.1155/2017/3091815. Epub 2017 Dec 12. Comput Intell Neurosci. 2017. PMID: 29379522 Free PMC article.
-
Brain Parenchymal Fraction in Healthy Adults-A Systematic Review of the Literature.PLoS One. 2017 Jan 17;12(1):e0170018. doi: 10.1371/journal.pone.0170018. eCollection 2017. PLoS One. 2017. PMID: 28095463 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous