Literature DB >> 8843362

Quantification of MRI lesion load in multiple sclerosis: a comparison of three computer-assisted techniques.

J Grimaud1, M Lai, J Thorpe, P Adeleine, L Wang, G J Barker, D L Plummer, P S Tofts, W I McDonald, D H Miller.   

Abstract

Several computer-assisted techniques for measuring multiple sclerosis lesion load on MR images have been developed to provide a quantitative and sensitive means for monitoring disease activity, particularly in the context of treatment trials. We have evaluated three techniques: manual outlining (similar to that of the North American interferon beta-1b trial), semiautomated lesion contouring (local lesion based threshold), and intensity-based thresholding for the whole brain. Contiguous, 5 mm-thick, axial, T2-weighted images of the brain were obtained on a 1.5T MR imager in eight patients with clinically definite multiple sclerosis. Analyses of the scans were performed twice, independently by three operators, using the three different techniques. The coefficient of variation of the measurement techniques was: (a) intrarater precision, 9.0 +/- 5.2 (mean +/- SD) (range 0.4-18.5) for the manual outlining, 2.5 +/- 2.1 (0.1-7.7) for the contour technique, and 7.5 +/- 6.9 (0.2-22.0) for the global threshold technique; (b) interrater precision, 11.0 +/- 5.8 (4.9-21.7) for the manual outlining, 4.5 +/- 1.6 (1.8-6.6) for the contour technique, and 11.4 +/- 4.9 (2.8-19.2) for the global threshold technique (0.0 = perfect precision). The absolute lesion loads measured were very similar using the manual outlining and the contour techniques but were significantly smaller using the global threshold technique. We conclude that the contour technique is a promising tool for use in treatment trials. Further studies are needed to assess sensitivity to changes in lesion load over time.

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Year:  1996        PMID: 8843362     DOI: 10.1016/0730-725x(96)00018-5

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  45 in total

1.  Computerised volumetric analysis of lesions in multiple sclerosis using new semi-automatic segmentation software.

Authors:  P Dastidar; T Heinonen; T Vahvelainen; I Elovaara; H Eskola
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

Review 2.  Multicentre imaging measurements for oncology and in the brain.

Authors:  P S Tofts; D J Collins
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

3.  Predictors of long-term clinical response to interferon beta therapy in relapsing multiple sclerosis.

Authors:  Valentina Tomassini; Andrea Paolillo; Pierluigi Russo; Elisabetta Giugni; Luca Prosperini; Claudio Gasperini; Guido Antonelli; Stefano Bastianello; Carlo Pozzilli
Journal:  J Neurol       Date:  2005-09-14       Impact factor: 4.849

4.  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

5.  Intracortical excitability in patients with relapsing-remitting and secondary progressive multiple sclerosis.

Authors:  A Conte; D Lenzi; V Frasca; F Gilio; E Giacomelli; M Gabriele; C Marini Bettolo; E Iacovelli; P Pantano; C Pozzilli; M Inghilleri
Journal:  J Neurol       Date:  2009-03-01       Impact factor: 4.849

6.  Supervised automatic procedure to identify new lesions in brain MR longitudinal studies of patients with multiple sclerosis.

Authors:  R C Parodi; F Levrero; M P Sormani; A Pilot; G L Mancardi; A Aliprandi; F Sardanelli
Journal:  Radiol Med       Date:  2008-04-02       Impact factor: 3.469

7.  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

8.  MRI lesion volume measurement in multiple sclerosis and its correlation with disability: a comparison of fast fluid attenuated inversion recovery (fFLAIR) and spin echo sequences.

Authors:  M L Gawne-Cain; J I O'Riordan; A Coles; B Newell; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-02       Impact factor: 10.154

9.  Normalized regional brain atrophy measurements in multiple sclerosis.

Authors:  Robert Zivadinov; Laura Locatelli; Barbara Stival; Alessio Bratina; Attilio Grop; Davide Nasuelli; Ozana Brnabic-Razmilic; Marino Zorzon
Journal:  Neuroradiology       Date:  2003-10-10       Impact factor: 2.804

10.  The role of qualitative and quantitative MRI assessment of multiple sclerosis lesions according to their in evaluating the efficacy of intravenous immunoglobulin G.

Authors:  B Koçer; S Yildirim-Gürel; E T Tali; C Irkeç; S Işik
Journal:  Neuroradiology       Date:  2004-03-04       Impact factor: 2.804

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