Literature DB >> 9270564

Interscanner variation in brain MRI lesion load measurements in MS: implications for clinical trials.

M Filippi1, J H van Waesberghe, M A Horsfield, S Bressi, C Gasperini, T A Yousry, M L Gawne-Cain, S P Morrissey, M A Rocca, F Barkhof, G J Lycklama à Nijeholt, S Bastianello, D H Miller.   

Abstract

We evaluated the effect of interscanner variation on brain MRI-measured lesion volumes and measurement reproducibility in MS. Twenty clinically definite MS patients were each scanned on two or three scanners (a total of 14 scanners were used). In addition, a formalin-fixed MS brain was studied on eight scanners from different manufacturers and with different field strengths. For the formalin-fixed MS brain, on each machine we obtained two scans with slice thicknesses of 5 and 3 mm. Only 5-mm-thick slices were obtained from patients. The lesion volume present on each scan was evaluated three times by a single observer in random order, using a local thresholding technique. In two groups of eight patients scanned on machines with different field strengths, the mean lesion volumes present on scans obtained at 1.5 T were significantly higher than those measured on scans obtained with machines operating at 0.5 and 1.0 T (p < 0.01). When a single observer repeatedly evaluated the same scan, a median introbserver agreement of 98.7% (95% CI, 97.9 to 99.1) was achieved. However, when the observer evaluated the scans from different MRI scanners, the agreement (an interscanner agreement) fell to 91.1% (CI, 90.2 to 94.1). When only scanners operating at 1.5 T were considered, the median interscanner agreement was 96.7% (CI, 95 to 97.5). Also, for the formalin-fixed MS brain, the intraobserver agreements obtained with both slice thicknesses were significantly higher than the corresponding interscanner agreements. The interscanner agreement, but not the intraobserver agreement, obtained with a slice thickness of 3 mm was higher than that obtained with a slice thickness of 5 mm. Our results indicate that lesion volume measurements in MS are influenced significantly by the use of different MR scanners and that a patient included in a serial study should be always scanned with the same MR machine using 3-mm thick slices.

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Year:  1997        PMID: 9270564     DOI: 10.1212/wnl.49.2.371

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  20 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

2.  Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis.

Authors:  M Tintoré; A Rovira; M J Martínez; J Rio; P Díaz-Villoslada; L Brieva; C Borrás; E Grivé; J Capellades; X Montalban
Journal:  AJNR Am J Neuroradiol       Date:  2000-04       Impact factor: 3.825

3.  Reproducibility of magnetization transfer ratio histogram-derived measures of the brain in healthy volunteers.

Authors:  M P Sormani; G Iannucci; M A Rocca; G Mastronardo; M Cercignani; L Minicucci; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2000-01       Impact factor: 3.825

4.  Reliability of brain volumes from multicenter MRI acquisition: a calibration study.

Authors:  Hugo G Schnack; Neeltje E M van Haren; Hilleke E Hulshoff Pol; Marco Picchioni; Matthias Weisbrod; Heinrich Sauer; Tyrone Cannon; Matti Huttunen; Robin Murray; René S Kahn
Journal:  Hum Brain Mapp       Date:  2004-08       Impact factor: 5.038

5.  In vivo assessment of retinal neuronal layers in multiple sclerosis with manual and automated optical coherence tomography segmentation techniques.

Authors:  Michaela A Seigo; Elias S Sotirchos; Scott Newsome; Aleksandra Babiarz; Christopher Eckstein; E'tona Ford; Jonathan D Oakley; Stephanie B Syc; Teresa C Frohman; John N Ratchford; Laura J Balcer; Elliot M Frohman; Peter A Calabresi; Shiv Saidha
Journal:  J Neurol       Date:  2012-03-15       Impact factor: 4.849

6.  Does high-field MR imaging have an influence on the classification of patients with clinically isolated syndromes according to current diagnostic mr imaging criteria for multiple sclerosis?

Authors:  M P Wattjes; M Harzheim; C K Kuhl; J Gieseke; S Schmidt; L Klotz; T Klockgether; H H Schild; G G Lutterbey
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

7.  Higher sensitivity in the detection of inflammatory brain lesions in patients with clinically isolated syndromes suggestive of multiple sclerosis using high field MRI: an intraindividual comparison of 1.5 T with 3.0 T.

Authors:  Mike P Wattjes; Götz G Lutterbey; Michael Harzheim; Jürgen Gieseke; Frank Träber; Luisa Klotz; Thomas Klockgether; Hans H Schild
Journal:  Eur Radiol       Date:  2006-04-29       Impact factor: 5.315

8.  Standardized MR imaging protocol for multiple sclerosis: Consortium of MS Centers consensus guidelines.

Authors:  J H Simon; D Li; A Traboulsee; P K Coyle; D L Arnold; F Barkhof; J A Frank; R Grossman; D W Paty; E W Radue; J S Wolinsky
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

9.  Reproducibility of the whole-brain N-acetylaspartate level across institutions, MR scanners, and field strengths.

Authors:  B Benedetti; D J Rigotti; S Liu; M Filippi; R I Grossman; O Gonen
Journal:  AJNR Am J Neuroradiol       Date:  2007-01       Impact factor: 3.825

Review 10.  High field MRI in the diagnosis of multiple sclerosis: high field-high yield?

Authors:  Mike P Wattjes; Frederik Barkhof
Journal:  Neuroradiology       Date:  2009-03-11       Impact factor: 2.804

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