Literature DB >> 33414234

3D Quantitative Synthetic MRI in the Evaluation of Multiple Sclerosis Lesions.

S Fujita1,2, K Yokoyama3, A Hagiwara4, S Kato1,2, C Andica1, K Kamagata1, N Hattori3, O Abe2, S Aoki1.   

Abstract

BACKGROUND AND
PURPOSE: Synthetic MR imaging creates multiple contrast-weighted images based on a single time-efficient quantitative scan, which has been mostly performed for 2D acquisition. We assessed the utility of 3D synthetic MR imaging in patients with MS by comparing its diagnostic image quality and lesion volumetry with conventional MR imaging.
MATERIALS AND METHODS: Twenty-four patients with MS prospectively underwent 3D quantitative synthetic MR imaging and conventional T1-weighted, T2-weighted, FLAIR, and double inversion recovery imaging, with acquisition times of 9 minutes 3 seconds and 18 minutes 27 seconds for the synthetic MR imaging and conventional MR imaging sequences, respectively. Synthetic phase-sensitive inversion recovery images and those corresponding to conventional MR imaging contrasts were created for synthetic MR imaging. Two neuroradiologists independently assessed the image quality on a 5-point Likert scale. The numbers of cortical lesions and lesion volumes were quantified using both synthetic and conventional image sets.
RESULTS: The overall diagnostic image quality of synthetic T1WI and double inversion recovery images was noninferior to that of conventional images (P = .23 and .20, respectively), whereas that of synthetic T2WI and FLAIR was inferior to that of conventional images (both Ps < .001). There were no significant differences in the number of cortical lesions (P = .17 and .53 for each rater) or segmented lesion volumes (P = .61) between the synthetic and conventional image sets.
CONCLUSIONS: Three-dimensional synthetic MR imaging could serve as an alternative to conventional MR imaging in evaluating MS with a reduced scan time.
© 2021 by American Journal of Neuroradiology.

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Mesh:

Year:  2021        PMID: 33414234      PMCID: PMC7959431          DOI: 10.3174/ajnr.A6930

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


  30 in total

1.  Evaluation of Segmentation algorithms for Medical Imaging.

Authors:  Aaron Fenster; Bernard Chiu
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

2.  Rapid magnetic resonance quantification on the brain: Optimization for clinical usage.

Authors:  J B M Warntjes; O Dahlqvist Leinhard; J West; P Lundberg
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

3.  Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial.

Authors:  L N Tanenbaum; A J Tsiouris; A N Johnson; T P Naidich; M C DeLano; E R Melhem; P Quarterman; S X Parameswaran; A Shankaranarayanan; M Goyen; A S Field
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

Review 4.  Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.

Authors:  Alan J Thompson; Brenda L Banwell; Frederik Barkhof; William M Carroll; Timothy Coetzee; Giancarlo Comi; Jorge Correale; Franz Fazekas; Massimo Filippi; Mark S Freedman; Kazuo Fujihara; Steven L Galetta; Hans Peter Hartung; Ludwig Kappos; Fred D Lublin; Ruth Ann Marrie; Aaron E Miller; David H Miller; Xavier Montalban; Ellen M Mowry; Per Soelberg Sorensen; Mar Tintoré; Anthony L Traboulsee; Maria Trojano; Bernard M J Uitdehaag; Sandra Vukusic; Emmanuelle Waubant; Brian G Weinshenker; Stephen C Reingold; Jeffrey A Cohen
Journal:  Lancet Neurol       Date:  2017-12-21       Impact factor: 44.182

Review 5.  Multiple Sclerosis.

Authors:  Daniel S Reich; Claudia F Lucchinetti; Peter A Calabresi
Journal:  N Engl J Med       Date:  2018-01-11       Impact factor: 91.245

6.  Synthetic MRI in the Detection of Multiple Sclerosis Plaques.

Authors:  A Hagiwara; M Hori; K Yokoyama; M Y Takemura; C Andica; T Tabata; K Kamagata; M Suzuki; K K Kumamaru; M Nakazawa; N Takano; H Kawasaki; N Hamasaki; A Kunimatsu; S Aoki
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-08       Impact factor: 3.825

7.  Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging.

Authors:  Jeroen J G Geurts; Petra J W Pouwels; Bernard M J Uitdehaag; Chris H Polman; Frederik Barkhof; Jonas A Castelijns
Journal:  Radiology       Date:  2005-07       Impact factor: 11.105

8.  Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS.

Authors:  Sofia Kvernby; Marcel Jan Bertus Warntjes; Henrik Haraldsson; Carl-Johan Carlhäll; Jan Engvall; Tino Ebbers
Journal:  J Cardiovasc Magn Reson       Date:  2014-12-20       Impact factor: 5.364

Review 9.  SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.

Authors:  Akifumi Hagiwara; Marcel Warntjes; Masaaki Hori; Christina Andica; Misaki Nakazawa; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Invest Radiol       Date:  2017-10       Impact factor: 6.016

10.  3D quantitative synthetic MRI-derived cortical thickness and subcortical brain volumes: Scan-rescan repeatability and comparison with conventional T1 -weighted images.

Authors:  Shohei Fujita; Akifumi Hagiwara; Masaaki Hori; Marcel Warntjes; Koji Kamagata; Issei Fukunaga; Masami Goto; Haruyama Takuya; Kohei Takasu; Christina Andica; Tomoko Maekawa; Mariko Yoshida Takemura; Ryusuke Irie; Akihiko Wada; Michimasa Suzuki; Shigeki Aoki
Journal:  J Magn Reson Imaging       Date:  2019-04-10       Impact factor: 4.813

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  4 in total

1.  Simultaneous T1 -weighted and T2 -weighted 3D MRI using RF phase-modulated gradient echo imaging.

Authors:  Daiki Tamada; Aaron S Field; Scott B Reeder
Journal:  Magn Reson Med       Date:  2021-11-09       Impact factor: 4.668

2.  Synthetic double inversion recovery (DIR) and phase-sensitive inversion recovery (PSIR) images showed better delineation of multiple sclerosis plaques.

Authors:  Moto Nakaya; Akifumi Hagiwara; Masaaki Hori; Kazumasa Yokoyama; Shohei Fujita; Christina Andica; Koji Kamagata; Yasunobu Hoshino; Yuji Tomizawa; Nobutaka Hattori; Shigeki Aoki
Journal:  Neuroradiology       Date:  2022-08-04       Impact factor: 2.995

3.  Synthetic MRI in children with tuberous sclerosis complex.

Authors:  Gokcen Coban; Ekim Gumeler; Safak Parlak; Bahadir Konuskan; Jale Karakaya; Dilek Yalnizoglu; Banu Anlar; Kader K Oguz
Journal:  Insights Imaging       Date:  2022-07-07

4.  Highly accelerated 3D MPRAGE using deep neural network-based reconstruction for brain imaging in children and young adults.

Authors:  Woojin Jung; JeeYoung Kim; Jingyu Ko; Geunu Jeong; Hyun Gi Kim
Journal:  Eur Radiol       Date:  2022-03-22       Impact factor: 7.034

  4 in total

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