Literature DB >> 9974068

Interscanner variation in brain MR lesion load measurements in multiple sclerosis using conventional spin-echo, rapid relaxation-enhanced, and fast-FLAIR sequences.

M Filippi1, M A Rocca, C Gasperini, M P Sormani, S Bastianello, M A Horsfield, C Pozzilli, G Comi.   

Abstract

BACKGROUND AND
PURPOSE: Different MR pulse sequences have been proposed for measuring multiple sclerosis (MS)-related abnormalities. The reproducibility of measured brain MS lesion volumes was compared for MR images performed using different scanners and different pulse sequences.
METHODS: Nine patients with relapsing-remitting MS were each imaged on two scanners and, on each occasion, dual-echo conventional spin-echo, dual-echo rapid-acquisition relaxation-enhanced (RARE), and fast fluid-attenuated inversion recovery (fast-FLAIR) images were obtained. The lesion volume present on each image was evaluated three times by a single observer in random order, using a local thresholding technique.
RESULTS: The mean lesion volumes present on fast-FLAIR images were significantly higher than those measured on dual-echo conventional spin-echo and RARE images. The mean intraobserver coefficients of variation for the different sequences and scanners ranged from 3.0% to 4.2% (no statistically significant difference). For each of the sequences, the use of different scanners introduced a variability that was higher than the intraobserver variability: the interscanner coefficient of variation was 7.4% for conventional spin-echo, 9.5% for RARE, and 18.5% for fast-FLAIR images.
CONCLUSION: Our study confirms that the use of different scanners significantly influences lesion loads measured from MR images of patients with MS and establishes that newer sequences are more susceptible to measurement variability. It also indicates that, if newer sequences are to be used in clinical trials, careful standardization is needed.

Entities:  

Mesh:

Year:  1999        PMID: 9974068

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  6 in total

1.  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

2.  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

3.  Spinal cord lesions and clinical status in multiple sclerosis: A 1.5 T and 3 T MRI study.

Authors:  J M Stankiewicz; M Neema; D C Alsop; B C Healy; A Arora; G J Buckle; T Chitnis; C R G Guttmann; D Hackney; R Bakshi
Journal:  J Neurol Sci       Date:  2009-04-15       Impact factor: 3.181

4.  A comparison of MR imaging with fast-FLAIR, HASTE-FLAIR, and EPI-FLAIR sequences in the assessment of patients with multiple sclerosis.

Authors:  M Filippi; M A Rocca; M Wiessmann; S Mennea; M Cercignani; T A Yousry; M P Sormani; G Comi
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

5.  The impact of utilizing different optical coherence tomography devices for clinical purposes and in multiple sclerosis trials.

Authors:  Christina V Warner; Stephanie B Syc; Aleksandra M Stankiewicz; Girish Hiremath; Sheena K Farrell; Ciprian M Crainiceanu; Amy Conger; Teresa C Frohman; Esther R Bisker; Laura J Balcer; Elliot M Frohman; Peter A Calabresi; Shiv Saidha
Journal:  PLoS One       Date:  2011-08-11       Impact factor: 3.240

Review 6.  Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

Authors:  Maria Eugenia Caligiuri; Paolo Perrotta; Antonio Augimeri; Federico Rocca; Aldo Quattrone; Andrea Cherubini
Journal:  Neuroinformatics       Date:  2015-07
  6 in total

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