Kofi Deh1, Keigo Kawaji2,3, Marjolein Bulk4,5, Louise Van Der Weerd4,5, Emelie Lind6, Pascal Spincemaille1, Kelly McCabe Gillen1, Johan Van Auderkerke7, Yi Wang1,8, Thanh D Nguyen1. 1. Department of Radiology, Weill Medical College of Cornell University, New York, New York. 2. Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois. 3. Department of Medicine, University of Chicago Medical Center, Chicago, Illinois. 4. Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. 5. Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands. 6. Department of Medical Radiation Physics, Lund University, Lund, Sweden. 7. Department of Biomedical Sciences, University of Antwerp, Belgium. 8. Department of Biomedical Engineering, Cornell University, Ithaca, New York.
Abstract
PURPOSE: To determine the reproducibility of quantitative susceptibility mapping at multiple sites on clinical and preclinical scanners (1.5 T, 3 T, 7 T, and 9.4 T) from different vendors (Siemens, GE, Philips, and Bruker) for standardization of multicenter studies. METHODS: Seven phantoms distributed from the core site, each containing 5 compartments with gadolinium solutions with fixed concentrations between 0.625 mM and 10 mM. Multi-echo gradient echo scans were performed at 1.5 T, 3 T, 7 T, and 9.4 T on 12 clinical and 3 preclinical scanners. DICOM images from the scans were processed into quantitative susceptibility maps using the Laplacian boundary value (LBV) and MEDI+0 automatic uniform reference algorithm. Region of interest (ROI) analyses were performed by a physicist to determine agreement between results from all sites. Measurement reproducibility was assessed using regression, Bland-Altman plots, and the intra-class correlation coefficient (ICC). RESULTS: Quantitative susceptibility mapping (QSM) from all scanners had similar, artifact-free visual appearance. Regression analysis showed a linear relationship between gadolinium concentrations and average QSM measurements for all phantoms (y = 350x - 0.0346, r2 >0.99). The SD of measurements increased almost linearly from 32 ppb to 230 ppb as the measured susceptibility increased from 0.26 ppm to 3.56 ppm. A Bland-Altman plot showed the bias, upper, and lower limits of agreement for all comparisons were -10, -210, and 200 ppb, respectively. The ICC was 0.991 with a 95% CI (0.973, 0.99). CONCLUSIONS: QSM shows excellent multicenter reproducibility for a large range of susceptibility values encountered in cranial and extra-cranial applications on a diverse set of scanner platforms.
PURPOSE: To determine the reproducibility of quantitative susceptibility mapping at multiple sites on clinical and preclinical scanners (1.5 T, 3 T, 7 T, and 9.4 T) from different vendors (Siemens, GE, Philips, and Bruker) for standardization of multicenter studies. METHODS: Seven phantoms distributed from the core site, each containing 5 compartments with gadolinium solutions with fixed concentrations between 0.625 mM and 10 mM. Multi-echo gradient echo scans were performed at 1.5 T, 3 T, 7 T, and 9.4 T on 12 clinical and 3 preclinical scanners. DICOM images from the scans were processed into quantitative susceptibility maps using the Laplacian boundary value (LBV) and MEDI+0 automatic uniform reference algorithm. Region of interest (ROI) analyses were performed by a physicist to determine agreement between results from all sites. Measurement reproducibility was assessed using regression, Bland-Altman plots, and the intra-class correlation coefficient (ICC). RESULTS: Quantitative susceptibility mapping (QSM) from all scanners had similar, artifact-free visual appearance. Regression analysis showed a linear relationship between gadolinium concentrations and average QSM measurements for all phantoms (y = 350x - 0.0346, r2 >0.99). The SD of measurements increased almost linearly from 32 ppb to 230 ppb as the measured susceptibility increased from 0.26 ppm to 3.56 ppm. A Bland-Altman plot showed the bias, upper, and lower limits of agreement for all comparisons were -10, -210, and 200 ppb, respectively. The ICC was 0.991 with a 95% CI (0.973, 0.99). CONCLUSIONS: QSM shows excellent multicenter reproducibility for a large range of susceptibility values encountered in cranial and extra-cranial applications on a diverse set of scanner platforms.
Authors: Kofi Deh; Thanh D Nguyen; Sarah Eskreis-Winkler; Martin R Prince; Pascal Spincemaille; Susan Gauthier; Ilhami Kovanlikaya; Yan Zhang; Yi Wang Journal: J Magn Reson Imaging Date: 2015-05-09 Impact factor: 4.813
Authors: Luke Xie; Anita T Layton; Nian Wang; Peder E Z Larson; Jeff L Zhang; Vivian S Lee; Chunlei Liu; G Allan Johnson Journal: Am J Physiol Renal Physiol Date: 2015-10-07
Authors: Nicholas Hobson; Sean P Polster; Ying Cao; Kelly Flemming; Yunhong Shu; John Huston; Chandra Y Gerrard; Reed Selwyn; Marc Mabray; Atif Zafar; Romuald Girard; Julián Carrión-Penagos; Yu Fen Chen; Todd Parrish; Xiaohong Joe Zhou; James I Koenig; Robert Shenkar; Agnieszka Stadnik; Janne Koskimäki; Alexey Dimov; Dallas Turley; Timothy Carroll; Issam A Awad Journal: J Magn Reson Imaging Date: 2019-09-12 Impact factor: 4.813
Authors: S Zhang; T D Nguyen; S M Hurtado Rúa; U W Kaunzner; S Pandya; I Kovanlikaya; P Spincemaille; Y Wang; S A Gauthier Journal: AJNR Am J Neuroradiol Date: 2019-05-16 Impact factor: 3.825
Authors: Tianle Cao; Sen Ma; Nan Wang; Sara Gharabaghi; Yibin Xie; Zhaoyang Fan; Elliot Hogg; Chaowei Wu; Fei Han; Michele Tagliati; E Mark Haacke; Anthony G Christodoulou; Debiao Li Journal: Magn Reson Med Date: 2021-10-27 Impact factor: 3.737
Authors: Ramin Jafari; Stefanie J Hectors; Anne K Koehne de González; Pascal Spincemaille; Martin R Prince; Gary M Brittenham; Yi Wang Journal: NMR Biomed Date: 2020-09-22 Impact factor: 4.044
Authors: Cristina Granziera; Jens Wuerfel; Frederik Barkhof; Massimiliano Calabrese; Nicola De Stefano; Christian Enzinger; Nikos Evangelou; Massimo Filippi; Jeroen J G Geurts; Daniel S Reich; Maria A Rocca; Stefan Ropele; Àlex Rovira; Pascal Sati; Ahmed T Toosy; Hugo Vrenken; Claudia A M Gandini Wheeler-Kingshott; Ludwig Kappos Journal: Brain Date: 2021-06-22 Impact factor: 13.501