Abstract
The use of magnetic resonance imaging (MRI) in clinical trials for multiple sclerosis (MS) was pioneered by Paty et al. [1] at the University of British Columbia, Canada, following studies of the correlation of the MRI appearance of demyelinating lesions with both animal models and postmortem material [2, 3]. Without this ground-breaking work, much of the testing of new therapeutic agents seen today would be severely retarded, with much longer assessment periods, and a much more difficult pathway of the drug from laboratory to market.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Paty DW, Li DKB, the UBC MS/MRI Study Group, the IFNb Multiple Sclerosis Study Group (1993) Interferon beta-1b is effective in relapsing-remitting multiple sclerosis. II. MRI analysis results of a multicenter, randomized, double-blind, placebo-controlled trial. Neurology 43: 662–667
Stewart WA, Hall LD, Berry K, Paty DW (1984) Correlation between NMR scan and brain slice data in multiple sclerosis. Lancet ii: 412
Stewart WA, Alvord EC, Hruby S, et al. (1991) Magnetic resonance imaging of experimental allergic encephalomyelitis in primates. Brain 114: 1069–1096
Filippi M, Horsfìeld MA, Ader HJ, et al. (1998) Guidelines for using quantitative meas of brain magnetic resonance imaging abnormalities in monitoring the treatment of multiple sclerosis. Ann Neurol 43: 499–506
Edelstein WA, Glover GH, Hardy CJ, Redington RW (1986) The intrinsic signal-to-noise ratio in NMR imaging. Magn Reson Med 3: 604–618
van Walderveen MAA, Barkhof F, Hommes OR, et al. (1995) Correlating MRI and clinical disease activity in multiple sclerosis: Relevance of hypointense lesions on short TR/short TE (T1-weighted) spin-echo images. Neurology 45: 1684–1690
van Buchem MA, McGowan JC, Kolson DL, et al. (1996) Quantitative volumetric magnetization transfer analysis in multiple sclerosis: Estimation of macroscopic and microscopic disease burden. Magn Reson Med 36: 632–636
Barker GJ, Tofts PS (1992) Semiautomated quality assurance for quantitative of magnetic resonance imaging. Magn Reson Imaging 10: 585–595
Filippi M, van Waesberghe JH, Horsfield MA, et al. (1997) Interscanner\ variation in brain MRI lesion load measurements in MS: Implications for clinical trials. Neurology 49: 371–377
Kamber M, Shinghal R, Collins DL, et al. (1995) Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images. IEEE Trans Med Imag 14: 442–453
Bottomley PA, Hardy CJ, Argersinger RE, Allen-Moore G (1987) A review of normal tissue hydrogen NMR relaxation times and relaxation mechanisms from 1–100 MHz. Med Phys 14: 425–448
Thorpe JW, Halpin SF, MacManus DG, et al. (1994) A comparison between fast and conventional spin-echo in the detection of multiple sclerosis lesions. AJNR Am J Neuroradiol 18:959–963
Rovaris M, Gawne-Cain ML, Wang L, Miller DH (1997) A comparison of conventional and fast spin-echo sequences for the measurement of lesion load in multiple sclerosis using a semi-automated contouring technique. Neuroradiology 39: 161–165
Simmons A, Tofts PS, Barker GJ, Arridge SR (1994) Sources of intensity nonuniformity in spin echo images at 1.5 T. Magn Reson Med 32: 121–128
Rydberg JN, Reiderer SJ, Rydberg CH, Jack CR (1995) Contrast optimisation of fluidattenuated inversion recovery (FLAIR) imaging. Magn Reson Med 34: 868–877
Barker GJ, Schreiber W, Gass A, et al. (1997) Standardising magnetisation transfer ratio measurements between MR scanners from different manufacturers. In: Proceedings of the International Society of Magnetic Resonance Medicine 3:1556 (abstract) 1556
Losseff NA, Wang L, Lai M, et al. (1996) Progressive cerebral brain atrophy in multiple sclerosis: A serial MRI study. Brain 119: 2009–2019
Filippi M, Colombo B, Rovaris M, et al. (1997) A longitudinal magnetic resonance imaging study of the cervical cord in multiple sclerosis. J Neuroimaging 7: 78–80
Horsfield MA, Larsson HBW, Jones DK, Gass A (1998) Diffusion magnetic resonance imaging in multiple sclerosis. J Neurol Neurosurg Psychiatry S64: 80–84
Miller DH, Barkhof F, Berry I, et al. (1991) Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: Concerted action guidelines. J Neurol Neurosurg Psychiatry 54: 683–688
Bedell BJ, Narayana PA, Wolinsky JS (1997) A dual approach for minimising false lesion classifications on magnetic resonance images. Magn Reson Med 37: 94–102
van Walderveen MAA, Kamphorst W, Scheltens P, et al. (1998) Histopathologic correlate of hypointense lesions on T1-weighted spin-echo MRI in multiple sclerosis. Neurology 50: 1282–1288
Dousset V, Grossman RI, Ramer NK, et al. (1992) Experimental allergic encephalomyelitis and multiple sclerosis: Lesion characterization with magnetization transfer imaging. Radiology 182:483–491
Stone LA, Frank JA, Albert PS, et al. (1997) Characterization of MRI response to treatment with interferon beta-1b: Contrast enhancing MRI lesion frequency as a primary outcome measure. Neurology 49: 863–869
Stone LA, Albert PS, Smith ME, et al. (1995) Changes in the amount of diseased white matter over time in patients with relapsing-remitting multiple sclerosis. Neurology 45: 1808–1814
Mitchell JR, Karlik SJ, Lee DH, Fenster A (1994) Computer-assisted identification and quantification of multiple-sclerosis lesions in MR imaging volumes in the brain. J Magn Reson Imaging 4: 197–208
Wolinsky JS, Narayana PA (1998) Phase 3 North American trial of roquinimex (linomide) in relapsing-remitting (RR) and secondary progressive (SP) multiple sclerosis (MS): MRI findings. Neurology 50: 4004 (abstract)
Filippi M, Yousry T, Baratti C, et al. (1996) Quantitative assessment of MRI lesion load in multiple sclerosis. A comparison of conventional spin-echo with fast fluid-attenuated inversion recovery. Brain 119: 1349–1355
Udupa JK, Wei L, Samarasekera S, et al. (1996) Multiple sclerosis lesion qualification using fuzzy-connectedness principle. IEEE Trans Med Imaging 16: 598–609
Hajnal JV, Saeed N, Soar EJ, et al. (1995) A registration and interpolation procedure for subvoxel matching of serially acquired MR images. J Comput Assist Tomogr 19: 289–296
Filippi M, Gawne-Cain ML, Gasperini C, et al. (1997) The effect of training and different measurement strategies on the reproducibility of brain MRI lesion load measurements in multiple sclerosis. Neurology 50: 238–244
Bidgood WD, Horii SC (1992) Introduction to the ACR-NEMA DICOM standard. Radiographics 12: 345–355
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Italia
About this paper
Cite this paper
Horsfield, M.A. (1999). Standardisation, Optimisation and Organisation of Magnetic Resonance Imaging for Monitoring Clinical Trials. In: Filippi, M., Grossman, R.I., Comi, G. (eds) Magnetic Resonance Techniques in Clinical Trials in Multiple Sclerosis. Topics in Neuroscience. Springer, Milano. https://doi.org/10.1007/978-88-470-2153-2_10
Download citation
DOI: https://doi.org/10.1007/978-88-470-2153-2_10
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-2180-8
Online ISBN: 978-88-470-2153-2
eBook Packages: Springer Book Archive