Guidelines for using quantitative measures of brain magnetic resonance imaging abnormalities in monitoring the treatment of multiple sclerosis

The change of brain lesion load, measured on T2‐weighted magnetic resonance imaging (MRI) using computer‐assisted techniques, is a widely used secondary endpoint for phase III clinical trials in multiple sclerosis (MS). Collections, transfer, and analysis of the electronic data across multiple centers have all proved challenging and give rise to potential errors. However, many new acquisition schemes and postprocessing techniques have been developed; these may reduce scan times and result in better lesion conspicuity or lessen the human interaction needed for data analysis. This review considers many aspects of the use of MRI in clinical trials for MS and provides international consensus guidelines, derived from a task force of the European Magnetic Resonance Networks in Multiple Sclerosis (MAGNIMS) together with a group of North American experts. The main points considered are the organization of correctly powered trials and selection of participating sites; the appropriate choice of pulse sequences and image acquisition protocol given the current state of technology; quality assurance for data acquisition and analysis; accuracy and reproducibility of lesion load assessments; and the potential for the application of quantitative methods to other MRI‐derived measures of disease burden.

[1]  A J Thompson,et al.  Progressive cerebral atrophy in multiple sclerosis. A serial MRI study. , 1996, Brain : a journal of neurology.

[2]  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.

[3]  A. Thompson,et al.  Persistent functional deficit in multiple sclerosis and autosomal dominant cerebellar ataxia is associated with axon loss. , 1995, Brain : a journal of neurology.

[4]  P. S. Albert,et al.  Changes in the amount of diseased white matter over time in patients with relapsing-remitting multiple sclerosis , 1995, Neurology.

[5]  P S Tofts,et al.  An oblique cylinder contrast-adjusted (OCCA) phantom to measure the accuracy of MRI brain lesion volume estimation schemes in multiple sclerosis. , 1997, Magnetic resonance imaging.

[6]  M. Horsfield,et al.  A high‐resolution three‐dimensional T1‐weighted gradient echo sequence improves the detection of disease activity in multiple sclerosis , 1996, Annals of neurology.

[7]  P. Albert,et al.  Blood‐brain barrier disruption on contrast‐enhanced MRI in patients with mild relapsing‐remitting multiple sclerosis , 1995, Neurology.

[8]  A. Thompson,et al.  Gadolinium enhanced MRI predicts clinical and MRI disease activity in relapsing-remitting multiple sclerosis. , 1997, Journal of neurology, neurosurgery, and psychiatry.

[9]  J Hennig,et al.  RARE imaging: A fast imaging method for clinical MR , 1986, Magnetic resonance in medicine.

[10]  P. Matthews,et al.  Imaging of axonal damage in multiple sclerosis: Spatial distribution of magnetic resonance imaging lesions , 1997, Annals of neurology.

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

[12]  P. Parizel,et al.  Improved correlation of magnetic resonance imaging (MRI) with clinical status in multiple sclerosis (MS) by use of an extensive standardized imaging-protocol , 1990, Journal of the Neurological Sciences.

[13]  Nick C Fox,et al.  Accurate registration of serial 3D MR brain images and its application to visualizing change in neurodegenerative disorders. , 1996, Journal of computer assisted tomography.

[14]  A J Thompson,et al.  Multiple sclerosis lesion detection in the brain: A comparison of fast fluid-attenuated inversion recovery and conventional T2-weighted dual spin echo , 1997, Neurology.

[15]  P M Matthews,et al.  Assessment of lesion pathology in multiple sclerosis using quantitative MRI morphometry and magnetic resonance spectroscopy. , 1996, Brain : a journal of neurology.

[16]  D. Paty,et al.  Interferon beta‐1b is effective in relapsing‐remitting multiple sclerosis , 1993, Neurology.

[17]  F. Barkhof,et al.  Interscanner variation in brain MRI lesion load measurements in MS: Implications for clinical trials , 1997, Neurology.

[18]  A J Thompson,et al.  Clinical and Magnetic Resonance Imaging Predictors of Disability in Primary and Secondary Progressive Multiple Sclerosis , 1996, Multiple sclerosis.

[19]  C Becker,et al.  Quantitative assessment of MRI lesion load in multiple sclerosis. A comparison of conventional spin-echo with fast fluid-attenuated inversion recovery. , 1996, Brain : a journal of neurology.

[20]  A. Thompson,et al.  Spinal cord atrophy and disability in multiple sclerosis. A new reproducible and sensitive MRI method with potential to monitor disease progression. , 1996, Brain : a journal of neurology.

[21]  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.

[22]  H. Tobi,et al.  Correlating MRI and clinical disease activity in multiple sclerosis , 1995, Neurology.

[23]  G. Barker,et al.  Correlation of magnetization transfer ration with clinical disability in multiple sclerosis , 1994, Annals of neurology.

[24]  P. Matthews,et al.  Chemical pathology of acute demyelinating lesions and its correlation with disability , 1995, Annals of neurology.

[25]  A. Thompson,et al.  Imaging of the spinal cord and brain in multiple sclerosis: a comparative study between fast flair and fast spin echo , 1997, Journal of Neurology.

[26]  J H Simon,et al.  Corpus callosum and subcallosal-periventricular lesions in multiple sclerosis: detection with MR. , 1986, Radiology.

[27]  Alan C. Evans,et al.  The Role of MRI in clinical trials of multiple sclerosis: Comparison of image processing techniques , 1997, Annals of neurology.

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

[29]  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.

[30]  A. Thompson,et al.  Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: concerted action guidelines. , 1991, Journal of neurology, neurosurgery, and psychiatry.

[31]  M Filippi,et al.  The effect of imprecise repositioning on lesion volume measurements in patients with multiple sclerosis , 1997, Neurology.

[32]  F. Barkhof,et al.  Accumulation of hypointense lesions ("black holes") on T1 spin-echo MRI correlates with disease progression in multiple sclerosis , 1996, Neurology.

[33]  D. Miller,et al.  Lesion volume measurement in multiple sclerosis: How important is accurate repositioning? , 1996, Journal of magnetic resonance imaging : JMRI.

[34]  M. Rovaris,et al.  A Longitudinal Magnetic Resonance Imaging Study of the Cervical Cord in Multiple Sclerosis , 1997, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

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

[36]  M. Horsfield,et al.  Intra- and inter-observer agreement of brain MRI lesion volume measurements in multiple sclerosis. A comparison of techniques. , 1995, Brain : a journal of neurology.

[37]  M Rovaris,et al.  Improving interobserver variation in reporting gadolinium-enhanced MRI lesions in multiple sclerosis , 1997, Neurology.

[38]  A comparison of conventional and fast spin-echo sequences for the measurement of lesion load in multiple sclerosis using a semi-automated contour technique , 1997, Neuroradiology.

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

[40]  R I Grossman,et al.  Microscopic disease in normal-appearing white matter on conventional MR images in patients with multiple sclerosis: assessment with magnetization-transfer measurements. , 1995, Radiology.

[41]  G. Comi,et al.  Resolution‐dependent estimates of lesion volumes in magnetic resonance imaging studies of the brain in multiple sclerosis , 1995, Annals of neurology.

[42]  H. McFarland,et al.  Clinical worsening in multiple sclerosis is associated with increased frequency and area of gadopentetate dimeglumine–enhancing magnetic resonance imaging lesions , 1993, Annals of neurology.

[43]  F. Barkhof,et al.  Guidelines for the use of magnetic resonance techniques in monitoring the treatment of multiple sclerosis , 1996, Annals of neurology.

[44]  J Grimaud,et al.  Effect of training and different measurement strategies on the reproducibility of brain MRI lesion load measurements in multiple sclerosis , 1998, Neurology.

[45]  D. Li,et al.  Magnetic resonance imaging in the evaluation of clinical trials in multiple sclerosis , 1994, Annals of neurology.

[46]  L P Panych,et al.  Comparing the FAISE method with conventional dual‐echo sequences , 1991, Journal of magnetic resonance imaging : JMRI.

[47]  B J Bedell,et al.  A dual approach for minimizing false lesion classifications on magnetic resonance images , 1997, Magnetic resonance in medicine.

[48]  G. Barker,et al.  Quantification of MRI lesion load in multiple sclerosis: a comparison of three computer-assisted techniques. , 1996, Magnetic resonance imaging.

[49]  M. Horsfield,et al.  Spinal cord MRI in multiple sclerosis with multicoil arrays: a comparison between fast spin echo and fast FLAIR. , 1996, Journal of neurology, neurosurgery, and psychiatry.