Literature DB >> 25900085

Quantitative Susceptibility Mapping at 3 T and 1.5 T: Evaluation of Consistency and Reproducibility.

Takuya Hinoda1, Yasutaka Fushimi, Tomohisa Okada, Koji Fujimoto, Chunlei Liu, Akira Yamamoto, Tsutomu Okada, Aki Kido, Kaori Togashi.   

Abstract

OBJECTIVES: The aim of this study was to assess the consistency and reproducibility of quantitative susceptibility mapping (QSM) at 3-T and 1.5-T magnetic resonance (MR) scanners.
MATERIALS AND METHODS: This study was approved by institutional ethics committee, and written informed consent was obtained. Twenty-two healthy volunteers underwent 2 examinations on different days. Each examination consisted of MR imaging on both 3-T and 1.5-T MR scanners. The data from both scanners and examination days were obtained, and QSM was calculated with STI Suite using 2 different algorithms--harmonic phase removal using laplacian operator (HARPERELLA) and a sophisticated harmonic artifact reduction for phase data (SHARP) method with a variable radius of the spherical kernel at the brain boundary (V-SHARP). We evaluated consistency of QSM between 3 T and 1.5 T and the reproducibility between the first and second examinations using 2-phase processing methods (HARPERELLA and V-SHARP).
RESULTS: Susceptibility values of regions of interests at 3 T were highly correlated with those at 1.5 T with good agreement (HARPERELLA, R2 = 0.838; V-SHARP, R2 = 0.898) (average difference, ±1.96 SD; HARPERELLA, -0.012 ± 0.046; V-SHARP, -0.002 ± 0.034). Reproducibility analysis demonstrated excellent correlation between the first and second examination at both 3 T and 1.5 T for both algorithms (HARPERELLA at 3 T, R2 = 0.921; 1.5 T, R2 = 0.891; V-SHARP at 3 T, R2 = 0.937; 1.5 T, R2 = 0.926). Bland-Altman analysis showed excellent reproducibility for HARPERELLA (3 T, -0.003 ± 0.032; 1.5 T, -0.003 ± 0.038) and V-SHARP (3 T, -0.003 ± 0.027; 1.5 T, -0.003 ± 0.029). Susceptibility values of these 2 algorithms were highly correlated with good agreement (3T, R2 = 0.961; 1.5 T, R = 0.931) (3 T, 0.009 ± 0.023; 1.5 T, -0.003 ± 0.049).
CONCLUSIONS: Quantitative susceptibility mapping with HARPERELLA and V-SHARP demonstrated good reproducibility at 3 T and 1.5 T, and QSM with V-SHARP demonstrated good consistency at 3 T and 1.5 T.

Mesh:

Year:  2015        PMID: 25900085     DOI: 10.1097/RLI.0000000000000159

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  22 in total

1.  Methods for the computation of templates from quantitative magnetic susceptibility maps (QSM): Toward improved atlas- and voxel-based analyses (VBA).

Authors:  Jannis Hanspach; Michael G Dwyer; Niels P Bergsland; Xiang Feng; Jesper Hagemeier; Nicola Bertolino; Paul Polak; Jürgen R Reichenbach; Robert Zivadinov; Ferdinand Schweser
Journal:  J Magn Reson Imaging       Date:  2017-03-06       Impact factor: 4.813

Review 2.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

3.  Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats.

Authors:  Andrew W Gorman; Kofi M Deh; Caspar M Schwiedrzik; Julie R White; Ernest Victor Groman; Clark A Fisher; Kelly M Gillen; Pascal Spincemaille; Skye Rasmussen; Martin R Prince; Henning U Voss; Winrich A Freiwald; Yi Wang
Journal:  Comp Med       Date:  2018-04-02       Impact factor: 0.982

4.  Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration.

Authors:  Jianqi Li; Huimin Lin; Tian Liu; Zhuwei Zhang; Martin R Prince; Kelly Gillen; Xu Yan; Qi Song; Ting Hua; Xiance Zhao; Miao Zhang; Yu Zhao; Gaiying Li; Guangyu Tang; Guang Yang; Gary M Brittenham; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2018-03-22       Impact factor: 4.813

5.  Clinical feasibility of brain quantitative susceptibility mapping.

Authors:  Shun Zhang; Zhe Liu; Thanh D Nguyen; Yihao Yao; Kelly M Gillen; Pascal Spincemaille; Ilhami Kovanlikaya; Ajay Gupta; Yi Wang
Journal:  Magn Reson Imaging       Date:  2019-04-04       Impact factor: 2.546

6.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.

Authors:  Pascal Spincemaille; Zhe Liu; Shun Zhang; Ilhami Kovanlikaya; Matteo Ippoliti; Marcus Makowski; Richard Watts; Ludovic de Rochefort; Vijay Venkatraman; Patricia Desmond; Mathieu D Santin; Stéphane Lehéricy; Brian H Kopell; Patrice Péran; Yi Wang
Journal:  J Neuroimaging       Date:  2019-08-04       Impact factor: 2.486

7.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

Authors:  Kofi Deh; Keigo Kawaji; Marjolein Bulk; Louise Van Der Weerd; Emelie Lind; Pascal Spincemaille; Kelly McCabe Gillen; Johan Van Auderkerke; Yi Wang; Thanh D Nguyen
Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

8.  Quantitative Susceptibility Mapping: MRI at 7T versus 3T.

Authors:  Pascal Spincemaille; Julie Anderson; Gaohong Wu; Baolian Yang; Maggie Fung; Ke Li; Shaojun Li; Ilhami Kovanlikaya; Ajay Gupta; Douglas Kelley; Nissim Benhamo; Yi Wang
Journal:  J Neuroimaging       Date:  2019-10-18       Impact factor: 2.486

9.  Reproducibility of quantitative susceptibility mapping in lumbar vertebra.

Authors:  Xintao Zhang; Yihao Guo; Yanjun Chen; Yingjie Mei; Jialing Chen; Jian Wang; Yanqiu Feng; Xiaodong Zhang
Journal:  Quant Imaging Med Surg       Date:  2019-04

10.  Multi-layer analysis of quantitative 7 T magnetic resonance imaging in the cortex of multiple sclerosis patients reveals pathology associated with disability.

Authors:  Alfonso Lema Dopico; Seongjin Choi; Jun Hua; Xu Li; Daniel M Harrison
Journal:  Mult Scler       Date:  2021-02-18       Impact factor: 6.312

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