Fiche publication
Date publication
octobre 2018
Journal
Acta radiologica (Stockholm, Sweden : 1987)
Auteurs
Membres identifiés du Cancéropôle Est :
Pr LOFFROY Romaric
Tous les auteurs :
Chevallier O, Zhou N, He J, Loffroy R, Wáng YXJ
Lien Pubmed
Résumé
Background It has been reported that intravoxel incoherent motion (IVIM) diffusion magnetic resonance imaging (MRI) scan-rescan reproducibility is unsatisfactory. Purpose To study IVIM MRI parameter reproducibility for liver parenchyma after the removal of motion-contaminated and/or poorly fitted image data. Material and Methods Eighteen healthy volunteers had liver scans twice in the same session to assess scan-rescan repeatability, and again in another session after an average interval of 13 days to assess reproducibility. Diffusion-weighted images were acquired with a 3-T scanner using respiratory-triggered echo-planar sequence and 16 b-values (0-800 s/mm). Measurement was performed on the right liver with segment-unconstrained least square fitting. Image series with evidential anatomical mismatch, apparent artifacts, and poorly fitted signal intensity vs. b-value curve were excluded. A minimum of three slices was deemed necessary for IVIM parameter estimation. Results With a total 54 examinations, six did not satisfy inclusion criteria, leading to a success rate of 89%, and 14 volunteers were finally included for the repeatability/reproducibility study. A total of 3-10 slices per examination (mean = 5.3 slices, median = 5 slices) were utilized for analysis. Using threshold b-value = 80 s/mm, the coefficient of variation and within-subject coefficient of variation for repeatability were 2.86% and 3.36% for D, 3.81% and 4.24% for perfusion fraction (PF), 18.16% and 24.88% for D; and those for reproducibility were 2.48% and 3.24% for D, 4.91% and 5.38% for PF, and 21.18% and 30.89% for D. Conclusion Removal of motion-contaminated and/or poorly fitted image data improves IVIM parameter reproducibility.
Mots clés
Adult, Algorithms, Artifacts, Diffusion Magnetic Resonance Imaging, methods, Female, Healthy Volunteers, Humans, Image Interpretation, Computer-Assisted, methods, Liver, diagnostic imaging, Male, Reproducibility of Results
Référence
Acta Radiol. 2018 Oct;59(10):1157-1167
