Estimation of the macromolecular proton fraction and bound pool T2 in multiple sclerosis.

This study used a model for magnetization transfer (MT) to estimate two underlying parameters: the macromolecular proton fraction (f) and the bound pool T2 (T2b) in patients with multiple sclerosis (MS). Sixty patients with clinically definite MS and 27 healthy controls were imaged using: (1) a dual echo fast spin echo sequence, (2) a MT sequence (with ten MT power and offset frequency combinations) and (3) proton density and T1 weighted sequences (for T1 relaxation time estimation). Fourteen normal-appearing white matter (NAWM) regions of interest (ROI) and six normal-appearing gray matter (NAGM) ROIs were outlined in all subjects. Lesions were also contoured in subjects affected by MS. The model was fitted to the data leading to estimates of T2b and f. Results showed that T2b was increased in lesions whereas f was reduced. In NAWM, f was decreased while T2b was only increased in secondary progressive MS. NAWM f correlated modestly with disability. Further studies are needed to investigate the pathological basis of the abnormalities observed.

[1]  B K Rutt,et al.  Magnetization transfer and multicomponent T2 relaxation measurements with histopathologic correlation in an experimental model of MS , 2000, Journal of magnetic resonance imaging : JMRI.

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

[3]  F. Barkhof,et al.  Axonal loss in multiple sclerosis lesions: Magnetic resonance imaging insights into substrates of disability , 1999, Annals of neurology.

[4]  S. Reingold,et al.  The Multiple Sclerosis Functional Composite measure (MSFC): an integrated approach to MS clinical outcome assessment , 1999, Multiple sclerosis.

[5]  M Filippi,et al.  A Magnetization Transfer Imaging Study of Normal-Appearing White Matter in Multiple Sclerosis , 1995, Neurology.

[6]  S. Reingold,et al.  Defining the clinical course of multiple sclerosis , 1996, Neurology.

[7]  R. Rudick,et al.  Axonal transection in the lesions of multiple sclerosis. , 1998, The New England journal of medicine.

[8]  G. Pike,et al.  Quantitative interpretation of magnetization transfer in spoiled gradient echo MRI sequences. , 2000, Journal of magnetic resonance.

[9]  H. Lassmann.  Neuropathology in multiple sclerosis: new concepts , 1998, Brain research bulletin.

[10]  Massimo Filippi,et al.  MRI techniques to monitor MS evolution: The present and the future , 2002, Neurology.

[11]  天野 康雄,et al.  骨髄病変に対する脂肪抑制法併用 magnetization transfer imaging の検討 , 1997 .

[12]  G. B. Pike,et al.  Quantitative imaging of magnetization transfer exchange and relaxation properties in vivo using MRI , 2001, Magnetic resonance in medicine.

[13]  A J Thompson,et al.  Quantitative MRI in patients with clinically isolated syndromes suggestive of demyelination. , 1999, Neurology.

[14]  G. Barker,et al.  Precise estimate of fundamental in-vivo MT parameters in human brain in clinically feasible times. , 2002, Magnetic resonance imaging.

[15]  P S Tofts,et al.  Magnetization transfer imaging. , 2000, Neuroimaging clinics of North America.

[16]  R I Grossman,et al.  Quantitative volumetric magnetization transfer analysis in multiple sclerosis: Estimation of macroscopic and microscopic disease burden , 1996, Magnetic resonance in medicine.

[17]  Colin Studholme,et al.  An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..

[18]  G J Parker,et al.  Accurate multislice gradient echo T1 measurement in the presence of non‐ideal RF pulse shape and RF field nonuniformity , 2001, Magnetic resonance in medicine.

[19]  Rajiv Midha,et al.  MR properties of excised neural tissue following experimentally induced inflammation , 2004, Magnetic resonance in medicine.

[20]  G J Barker,et al.  Quantitative magnetization transfer mapping of bound protons in multiple sclerosis , 2003, Magnetic resonance in medicine.

[21]  J. Kurtzke.  Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[22]  C. W. Adams,et al.  Pathology of multiple sclerosis: progression of the lesion. , 1977, British medical bulletin.

[23]  Brian Ford,et al.  The NAG library ‘machine’ , 1979, Softw. Pract. Exp..

[24]  Lublin Fd,et al.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. , 1996 .

[25]  J. Mazziotta,et al.  MRI‐PET Registration with Automated Algorithm , 1993, Journal of computer assisted tomography.

[26]  R I Grossman,et al.  Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging. , 1992, Radiology.

[27]  I. Allen,et al.  A histological, histochemical and biochemical study of the macroscopically normal white matter in multiple sclerosis , 1979, Journal of the Neurological Sciences.

[28]  Vasily L Yarnykh,et al.  Pulsed Z‐spectroscopic imaging of cross‐relaxation parameters in tissues for human MRI: Theory and clinical applications , 2002, Magnetic resonance in medicine.

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

[30]  C. Morrison,et al.  A Model for Magnetization Transfer in Tissues , 1995, Magnetic resonance in medicine.