Normal Appearing and Diffusely Abnormal White Matter in Patients with Multiple Sclerosis Assessed with Quantitative MR

Introduction: Magnetic Resonance Imaging is a sensitive technique for detecting white matter (WM) MS lesions, but the relation with clinical disability is low. Because of this, changes in both ‘normal appearing white matter’ (NAWM) and ‘diffusely abnormal white matter’ (DAWM) have been of interest in recent years. MR techniques, including quantitative magnetic resonance imaging (qMRI) and quantitative magnetic resonance spectroscopy (qMRS), have been developed in order to detect and quantify such changes. In this study, qMRI and qMRS were used to investigate NAWM and DAWM in typical MS patients and in MS patients with low number of WM lesions. Patient data were compared to ‘normal white matter’ (NWM) in healthy controls. Methods: QMRI and qMRS measurements were performed on a 1.5 T Philips MR-scanner. 35 patients with clinically definite MS and 20 healthy controls were included. Twenty of the patients fulfilled the ‘Barkhof-Tintoré criteria’ for MS, (‘MRIpos’), whereas 15 showed radiologically atypical findings with few WM lesions (‘MRIneg’). QMRI properties were determined in ROIs of NAWM, DAWM and lesions in the MS groups and of NWM in controls. Descriptive statistical analysis and comparisons were performed. Correlations were calculated between qMRI measurements and (1) clinical parameters and (2) WM metabolite concentrations. Regression analyses were performed with brain parenchyma fraction and MSSS. Results: NAWM in the MRIneg group was significantly different from NAWM in the MRIpos group and NWM. In addition, R1 and R2 of NAWM in the MRIpos group correlated negatively with EDSS and MSSS. DAWM was significantly different from NWM, but similar in the MS groups. N-acetyl aspartate correlated negatively with R1 and R2 in MRIneg. R2 of DAWM was associated with BPF. Conclusions: Changes in NAWM and DAWM are independent pathological entities in the disease. The correlation between qMRI and clinical status may shed new light on the clinicoradiological paradox.

[1]  A J Thompson,et al.  Normal-appearing grey and white matter T1 abnormality in early relapsing–remitting multiple sclerosis: a longitudinal study , 2007, Multiple sclerosis.

[2]  R. Rudick,et al.  Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS , 2011, Neurology.

[3]  G. Barker,et al.  Variations in T1 and T2 relaxation times of normal appearing white matter and lesions in multiple sclerosis , 2000, Journal of the Neurological Sciences.

[4]  Örjan Smedby,et al.  Increased Concentrations of Glutamate and Glutamine in Normal-Appearing White Matter of Patients with Multiple Sclerosis and Normal MR Imaging Brain Scans , 2013, PloS one.

[5]  Nikos Evangelou,et al.  Quantitative pathological evidence for axonal loss in normal appearing white matter in multiple sclerosis , 2000, Annals of neurology.

[6]  P. Lundberg,et al.  Low Choline Concentrations in Normal-Appearing White Matter of Patients with Multiple Sclerosis and Normal MR Imaging Brain Scans , 2007, American Journal of Neuroradiology.

[7]  F. Barkhof,et al.  Diffusely Abnormal White Matter in Progressive Multiple Sclerosis: In Vivo Quantitative MR Imaging Characterization and Comparison between Disease Types , 2010, American Journal of Neuroradiology.

[8]  P. Lundberg,et al.  Rapid magnetic resonance quantification on the brain: Optimization for clinical usage , 2008, Magnetic resonance in medicine.

[9]  P. Lundberg,et al.  Procedure for quantitative 1H magnetic resonance spectroscopy and tissue characterization of human brain tissue based on the use of quantitative magnetic resonance imaging , 2013, Magnetic resonance in medicine.

[10]  Hans Lassmann,et al.  Cortical demyelination and diffuse white matter injury in multiple sclerosis. , 2005, Brain : a journal of neurology.

[11]  Frederik Barkhof,et al.  Diffusely abnormal white matter in chronic multiple sclerosis: imaging and histopathologic analysis. , 2009, Archives of neurology.

[12]  C. Laule,et al.  Dirty-appearing white matter in multiple sclerosis , 2008, Journal of Neurology.

[13]  C. Laule,et al.  Multi-parametric MR assessment of T1 black holes in multiple sclerosis , 2007, Journal of Neurology.

[14]  C. Laule,et al.  Multi-parametric MR assessment of T(1) black holes in multiple sclerosis : evidence that myelin loss is not greater in hypointense versus isointense T(1) lesions. , 2007, Journal of neurology.

[15]  D. Silberberg,et al.  New diagnostic criteria for multiple sclerosis: Guidelines for research protocols , 1983, Annals of neurology.

[16]  R. Kinkel,et al.  Axonal loss in normal-appearing white matter in a patient with acute MS , 2001, Neurology.

[17]  K Ambarki,et al.  Automated Determination of Brain Parenchymal Fraction in Multiple Sclerosis , 2013, American Journal of Neuroradiology.

[18]  A. A. Eisen,et al.  MRI in the diagnosis of MS , 1988, Neurology.

[19]  M. Filippi,et al.  Cortical adaptation in patients with MS: a cross-sectional functional MRI study of disease phenotypes , 2005, The Lancet Neurology.

[20]  Simon K Warfield,et al.  Diffusion Tensor Magnetic Resonance Imaging in Multiple Sclerosis , 2005, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[21]  M. Zarei,et al.  Non-invasive brain mapping of motor-related areas of four limbs in patients with clinically isolated syndrome compared to healthy normal controls , 2010, Journal of Clinical Neuroscience.

[22]  G. Salemi,et al.  Multiple Sclerosis Severity Score: Using disability and disease duration to rate disease severity , 2005, Neurology.

[23]  P. Matthews,et al.  Regional axonal loss in the corpus callosum correlates with cerebral white matter lesion volume and distribution in multiple sclerosis. , 2000, Brain : a journal of neurology.

[24]  B. Mädler,et al.  Insights into brain microstructure from the T2 distribution. , 2006, Magnetic resonance imaging.

[25]  I. V. Allen,et al.  Pathological abnormalities in the normal-appearing white matter in multiple sclerosis , 2001, Neurological Sciences.

[26]  A. Compston,et al.  Recommended diagnostic criteria for multiple sclerosis: Guidelines from the international panel on the diagnosis of multiple sclerosis , 2001, Annals of neurology.

[27]  P. Lundberg,et al.  Novel whole brain segmentation and volume estimation using quantitative MRI , 2012, European Radiology.

[28]  Elizabeth Fisher,et al.  Multiple sclerosis normal‐appearing white matter: Pathology–imaging correlations , 2011, Annals of neurology.

[29]  J. Olesen,et al.  In vivo determination of T1 and T2 in the brain of patients with severe but stable multiple sclerosis , 1988, Magnetic resonance in medicine.

[30]  R H Edwards,et al.  Magnetic resonance relaxation time mapping in multiple sclerosis: normal appearing white matter and the "invisible" lesion load. , 1994, Magnetic resonance imaging.

[31]  J. Olesen,et al.  Assessment of demyelination, edema, and gliosis by in vivo determination of T1 and T2 in the brain of patients with acute attack of multiple sclerosis , 1989, Magnetic resonance in medicine.

[32]  H. Möller,et al.  Myelin water mapping by spatially regularized longitudinal relaxographic imaging at high magnetic fields , 2014, Magnetic resonance in medicine.

[33]  F. Barkhof,et al.  Cortical lesions in multiple sclerosis. , 1999, Brain : a journal of neurology.

[34]  Hans Lassmann,et al.  The Immunopathology of Multiple Sclerosis: An Overview , 2007, Brain pathology.

[35]  J. Babb,et al.  Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis. , 2003, AJNR. American journal of neuroradiology.

[36]  F Barkhof,et al.  Neuronal damage in T1‐hypointense multiple sclerosis lesions demonstrated in vivo using proton magnetic resonance spectroscopy , 1999, Annals of neurology.

[37]  A. Thompson,et al.  Spinal MRI in patients with suspected multiple sclerosis and negative brain MRI. , 1996, Brain : a journal of neurology.

[38]  B. Trapp,et al.  N‐acetylaspartate is an axon‐specific marker of mature white matter in vivo: A biochemical and immunohistochemical study on the rat optic nerve , 2002, Annals of neurology.

[39]  Hsiao-Wen Chung,et al.  Measurement of volumetric lesion load in multiple sclerosis: moving from normal- to dirty-appearing white matter. , 2003, AJNR. American journal of neuroradiology.

[40]  F. Barkhof The clinico‐radiological paradox in multiple sclerosis revisited , 2002, Current opinion in neurology.

[41]  A. MacKay,et al.  In vivo visualization of myelin water in brain by magnetic resonance , 1994, Magnetic resonance in medicine.

[42]  Bertrand Audoin,et al.  Structure of WM bundles constituting the working memory system in early multiple sclerosis: A quantitative DTI tractography study , 2007, NeuroImage.

[43]  Aristide Merola,et al.  Demyelination, Inflammation, and Neurodegeneration in Multiple Sclerosis Deep Gray Matter , 2009, Journal of neuropathology and experimental neurology.

[44]  F Barkhof,et al.  Normal-appearing white matter changes vary with distance to lesions in multiple sclerosis. , 2006, AJNR. American journal of neuroradiology.

[45]  M. Komada,et al.  Activated Microglia Mediate Axoglial Disruption That Contributes to Axonal Injury in Multiple Sclerosis , 2010, Journal of neuropathology and experimental neurology.

[46]  F. Barkhof,et al.  Whole-brain T1 mapping in multiple sclerosis: global changes of normal-appearing gray and white matter. , 2006, Radiology.