Literature DB >> 27789453

Utility of a Multiparametric Quantitative MRI Model That Assesses Myelin and Edema for Evaluating Plaques, Periplaque White Matter, and Normal-Appearing White Matter in Patients with Multiple Sclerosis: A Feasibility Study.

A Hagiwara1,2, M Hori2, K Yokoyama3, M Y Takemura2, C Andica2, K K Kumamaru2, M Nakazawa2, N Takano2, H Kawasaki2, S Sato2, N Hamasaki2, A Kunimatsu4, S Aoki2.   

Abstract

BACKGROUND AND
PURPOSE: T1 and T2 values and proton density can now be quantified on the basis of a single MR acquisition. The myelin and edema in a voxel can also be estimated from these values. The purpose of this study was to evaluate a multiparametric quantitative MR imaging model that assesses myelin and edema for characterizing plaques, periplaque white matter, and normal-appearing white matter in patients with MS.
MATERIALS AND METHODS: We examined 3T quantitative MR imaging data from 21 patients with MS. The myelin partial volume, excess parenchymal water partial volume, the inverse of T1 and transverse T2 relaxation times (R1, R2), and proton density were compared among plaques, periplaque white matter, and normal-appearing white matter.
RESULTS: All metrics differed significantly across the 3 groups (P < .001). Those in plaques differed most from those in normal-appearing white matter. The percentage changes of the metrics in plaques and periplaque white matter relative to normal-appearing white matter were significantly more different from zero for myelin partial volume (mean, -61.59 ± 20.28% [plaque relative to normal-appearing white matter], and mean, -10.51 ± 11.41% [periplaque white matter relative to normal-appearing white matter]), and excess parenchymal water partial volume (13.82 × 103 ± 49.47 × 103% and 51.33 × 102 ± 155.31 × 102%) than for R1 (-35.23 ± 13.93% and -6.08 ± 8.66%), R2 (-21.06 ± 11.39% and -4.79 ± 6.79%), and proton density (23.37 ± 10.30% and 3.37 ± 4.24%).
CONCLUSIONS: Multiparametric quantitative MR imaging captures white matter damage in MS. Myelin partial volume and excess parenchymal water partial volume are more sensitive to the MS disease process than R1, R2, and proton density.
© 2017 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2016        PMID: 27789453     DOI: 10.3174/ajnr.A4977

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


  23 in total

1.  Analysis of White Matter Damage in Patients with Multiple Sclerosis via a Novel In Vivo MR Method for Measuring Myelin, Axons, and G-Ratio.

Authors:  A Hagiwara; M Hori; K Yokoyama; M Nakazawa; R Ueda; M Horita; C Andica; O Abe; S Aoki
Journal:  AJNR Am J Neuroradiol       Date:  2017-08-03       Impact factor: 3.825

2.  Myelin Detection Using Rapid Quantitative MR Imaging Correlated to Macroscopically Registered Luxol Fast Blue-Stained Brain Specimens.

Authors:  J B M Warntjes; A Persson; J Berge; W Zech
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

3.  Image quality at synthetic brain magnetic resonance imaging in children.

Authors:  So Mi Lee; Young Hun Choi; Jung-Eun Cheon; In-One Kim; Seung Hyun Cho; Won Hwa Kim; Hye Jung Kim; Hyun-Hae Cho; Sun-Kyoung You; Sook-Hyun Park; Moon Jung Hwang
Journal:  Pediatr Radiol       Date:  2017-06-22

4.  Brain tissue and myelin volumetric analysis in multiple sclerosis at 3T MRI with various in-plane resolutions using synthetic MRI.

Authors:  Laetitia Saccenti; Christina Andica; Akifumi Hagiwara; Kazumasa Yokoyama; Mariko Yoshida Takemura; Shohei Fujita; Tomoko Maekawa; Koji Kamagata; Alice Le Berre; Masaaki Hori; Nobutaka Hattori; Shigeki Aoki
Journal:  Neuroradiology       Date:  2019-06-18       Impact factor: 2.804

5.  Quantification of myelin in children using multiparametric quantitative MRI: a pilot study.

Authors:  Hyun Gi Kim; Won-Jin Moon; JinJoo Han; Jin Wook Choi
Journal:  Neuroradiology       Date:  2017-08-01       Impact factor: 2.804

6.  Four-angle method for practical ultra-high-resolution magnetic resonance mapping of brain longitudinal relaxation time and apparent proton density.

Authors:  Mustapha Bouhrara; Abinand C Rejimon; Luis E Cortina; Nikkita Khattar; Richard G Spencer
Journal:  Magn Reson Imaging       Date:  2019-11-12       Impact factor: 2.546

7.  Initial experience with synthetic MRI of the knee at 3T: comparison with conventional T1 weighted imaging and T2 mapping.

Authors:  Sunghoon Park; Kyu-Sung Kwack; Young Ju Lee; Sung-Min Gho; Hyun Young Lee
Journal:  Br J Radiol       Date:  2017-11-16       Impact factor: 3.039

8.  The use of multiparametric quantitative magnetic resonance imaging for evaluating visually assigned lesion groups in patients with multiple sclerosis.

Authors:  Christian Thaler; Tobias D Faizy; Jan Sedlacik; Maxim Bester; Jan-Patrick Stellmann; Christoph Heesen; Jens Fiehler; Susanne Siemonsen
Journal:  J Neurol       Date:  2017-11-20       Impact factor: 4.849

9.  Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data.

Authors:  Sara Lorio; Tim M Tierney; Amy McDowell; Owen J Arthurs; Antoine Lutti; Nikolaus Weiskopf; David W Carmichael
Journal:  Neuroimage       Date:  2018-11-19       Impact factor: 6.556

10.  Synthetic MRI in Neurofibromatosis Type 1.

Authors:  G Coban; S Parlak; E Gumeler; H Altunbuker; B Konuşkan; J Karakaya; B Anlar; K K Oguz
Journal:  AJNR Am J Neuroradiol       Date:  2021-07-15       Impact factor: 4.966

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