Literature DB >> 1536628

Magnetic resonance imaging lesion enlargement in multiple sclerosis. Disease-related activity, chance occurrence, or measurement artifact?

D E Goodkin1, J S Ross, S V Medendorp, J Konecsni, R A Rudick.   

Abstract

Magnetic resonance imaging (MRI) may demonstrate disease activity in a number of ways in patients with multiple sclerosis. Newly appearing MRI lesions, gadolinium-enhancing lesions, and enlargement of preexisting lesions are frequently taken as evidence of disease activity. Furthermore, serial MRI studies have been stated to be more sensitive than repeated neurologic examinations in detecting disease activity. We assessed the validity of using lesion enlargement as a measure of disease activity by repeatedly measuring the area of all MRI lesions in four patients with multiple sclerosis. The size-frequency distribution in all patients was similar, with 80% of the lesions measuring less than 0.67 cm2. The median coefficient of variation for three successive lesion measurements was inversely related to lesion area, ranging from 22.6% for the more common smaller lesions (less than 0.67 cm2) to 12.1% for larger lesions. Based on these coefficients of variation, a change in a particular lesion exceeding 45.2% for a baseline lesion smaller than 0.67 cm2 and 24.2% for a baseline lesion greater than or equal to 0.67 cm2 should be required to exclude a change due to measurement variability. It remains necessary to determine the number of lesions that must change when multiple lesions are present in the baseline MRI to reliably exclude chance occurrence when establishing MRI-evident disease activity. Guidelines for determining these criteria are presented, as are the limitations inherent in the statistical model employed to make these determinations.

Entities:  

Mesh:

Year:  1992        PMID: 1536628     DOI: 10.1001/archneur.1992.00530270075021

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  6 in total

1.  Survey of the distribution of lesion size in multiple sclerosis: implication for the measurement of total lesion load.

Authors:  L Wang; H M Lai; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-10       Impact factor: 10.154

2.  Precision and reliability for measurement of change in MRI lesion volume in multiple sclerosis: a comparison of two computer assisted techniques.

Authors:  P D Molyneux; P S Tofts; A Fletcher; B Gunn; P Robinson; H Gallagher; I F Moseley; G J Barker; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-07       Impact factor: 10.154

Review 3.  Magnetic resonance in monitoring the natural history of multiple sclerosis and the effects of treatment.

Authors:  M Filippi; M Rovaris; G Comi
Journal:  Ital J Neurol Sci       Date:  1996-12

4.  Guidelines for secondary analysis in search of response shift.

Authors:  Carolyn E Schwartz; Sara Ahmed; Richard Sawatzky; Tolulope Sajobi; Nancy Mayo; Joel Finkelstein; Lisa Lix; Mathilde G E Verdam; Frans J Oort; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2013-04-10       Impact factor: 4.147

5.  Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis.

Authors:  Mark A Horsfield; Stefania Sala; Mohit Neema; Martina Absinta; Anshika Bakshi; Maria Pia Sormani; Maria A Rocca; Rohit Bakshi; Massimo Filippi
Journal:  Neuroimage       Date:  2010-01-07       Impact factor: 6.556

6.  Hippocampal surface deformation accuracy in T1-weighted volumetric MRI sequences in subjects with epilepsy.

Authors:  R Edward Hogan; Emily D Moseley; Luigi Maccotta
Journal:  J Neuroimaging       Date:  2014-06-19       Impact factor: 2.486

  6 in total

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