@article{RN231,
   author = {Povazan, M. and Mikkelsen, M. and Berrington, A. and Bhattacharyya, P. K. and Brix, M. K. and Buur, P. F. and Cecil, K. M. and Chan, K. L. and Chen, D. Y. T. and Craven, A. R. and Cuypers, K. and Dacko, M. and Duncan, N. W. and Dydak, U. and Edmondson, D. A. and Ende, G. and Ersland, L. and Forbes, M. A. and Gao, F. and Greenhouse, I. and Harris, A. D. and He, N. and Heba, S. and Hoggard, N. and Hsu, T. W. and Jansen, J. F. A. and Kangarlu, A. and Lange, T. and Lebel, R. M. and Li, Y. and Lin, C. E. and Liou, J. K. and Lirng, J. F. and Liu, F. and Long, J. R. and Ma, R. and Maes, C. and Moreno-Ortega, M. and Murray, S. O. and Noah, S. and Noeske, R. and Noseworthy, M. D. and Oeltzschner, G. and Porges, E. C. and Prisciandaro, J. J. and Puts, N. A. J. and Roberts, T. P. L. and Sack, M. and Sailasuta, N. and Saleh, M. G. and Schallmo, M. P. and Simard, N. and Stoffers, D. and Swinnen, S. P. and Tegenthoff, M. and Truong, P. and Wang, G. and Wilkinson, I. D. and Wittsack, H. J. and Woods, A. J. and Xu, H. and Yan, F. and Zhang, C. and Zipunnikov, V. and Zollner, H. J. and Edden, R. A. E. and Barker, P. B.},
   title = {Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites},
   journal = {Radiology},
   volume = {295},
   number = {1},
   pages = {171-180},
   note = {Povazan, Michal
Mikkelsen, Mark
Berrington, Adam
Bhattacharyya, Pallab K
Brix, Maiken K
Buur, Pieter F
Cecil, Kim M
Chan, Kimberly L
Chen, David Y T
Craven, Alexander R
Cuypers, Koen
Dacko, Michael
Duncan, Niall W
Dydak, Ulrike
Edmondson, David A
Ende, Gabriele
Ersland, Lars
Forbes, Megan A
Gao, Fei
Greenhouse, Ian
Harris, Ashley D
He, Naying
Heba, Stefanie
Hoggard, Nigel
Hsu, Tun-Wei
Jansen, Jacobus F A
Kangarlu, Alayar
Lange, Thomas
Lebel, R Marc
Li, Yan
Lin, Chien-Yuan E
Liou, Jy-Kang
Lirng, Jiing-Feng
Liu, Feng
Long, Joanna R
Ma, Ruoyun
Maes, Celine
Moreno-Ortega, Marta
Murray, Scott O
Noah, Sean
Noeske, Ralph
Noseworthy, Michael D
Oeltzschner, Georg
Porges, Eric C
Prisciandaro, James J
Puts, Nicolaas A J
Roberts, Timothy P L
Sack, Markus
Sailasuta, Napapon
Saleh, Muhammad G
Schallmo, Michael-Paul
Simard, Nicholas
Stoffers, Diederick
Swinnen, Stephan P
Tegenthoff, Martin
Truong, Peter
Wang, Guangbin
Wilkinson, Iain D
Wittsack, Hans-Jorg
Woods, Adam J
Xu, Hongmin
Yan, Fuhua
Zhang, Chencheng
Zipunnikov, Vadim
Zollner, Helge J
Edden, Richard A E
Barker, Peter B
eng
2020/02/12 06:00
Radiology. 2020 Apr;295(1):171-180. doi: 10.1148/radiol.2020191037. Epub 2020 Feb 11.},
   abstract = {Background The hardware and software differences between MR vendors and individual sites influence the quantification of MR spectroscopy data. An analysis of a large data set may help to better understand sources of the total variance in quantified metabolite levels. Purpose To compare multisite quantitative brain MR spectroscopy data acquired in healthy participants at 26 sites by using the vendor-supplied single-voxel point-resolved spectroscopy (PRESS) sequence. Materials and Methods An MR spectroscopy protocol to acquire short-echo-time PRESS data from the midparietal region of the brain was disseminated to 26 research sites operating 3.0-T MR scanners from three different vendors. In this prospective study, healthy participants were scanned between July 2016 and December 2017. Data were analyzed by using software with simulated basis sets customized for each vendor implementation. The proportion of total variance attributed to vendor-, site-, and participant-related effects was estimated by using a linear mixed-effects model. P values were derived through parametric bootstrapping of the linear mixed-effects models (denoted Pboot). Results In total, 296 participants (mean age, 26 years +/- 4.6; 155 women and 141 men) were scanned. Good-quality data were recorded from all sites, as evidenced by a consistent linewidth of N-acetylaspartate (range, 4.4-5.0 Hz), signal-to-noise ratio (range, 174-289), and low Cramer-Rao lower bounds (</=5%) for all of the major metabolites. Among the major metabolites, no vendor effects were found for levels of myo-inositol (Pboot > .90), N-acetylaspartate and N-acetylaspartylglutamate (Pboot = .13), or glutamate and glutamine (Pboot = .11). Among the smaller resonances, no vendor effects were found for ascorbate (Pboot = .08), aspartate (Pboot > .90), glutathione (Pboot > .90), or lactate (Pboot = .28). Conclusion Multisite multivendor single-voxel MR spectroscopy studies performed at 3.0 T can yield results that are coherent across vendors, provided that vendor differences in pulse sequence implementation are accounted for in data analysis. However, the site-related effects on variability were more profound and suggest the need for further standardization of spectroscopic protocols. (c) RSNA, 2020 Online supplemental material is available for this article.},
   ISSN = {1527-1315 (Electronic)
0033-8419 (Linking)},
   DOI = {10.1148/radiol.2020191037},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/32043950},
   year = {2020},
   type = {Journal Article}
}

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D.","He, N.","Heba, S.","Hoggard, N.","Hsu, T. W.","Jansen, J. F. A.","Kangarlu, A.","Lange, T.","Lebel, R. M.","Li, Y.","Lin, C. E.","Liou, J. K.","Lirng, J. F.","Liu, F.","Long, J. R.","Ma, R.","Maes, C.","Moreno-Ortega, M.","Murray, S. O.","Noah, S.","Noeske, R.","Noseworthy, M. D.","Oeltzschner, G.","Porges, E. C.","Prisciandaro, J. J.","Puts, N. A. J.","Roberts, T. P. L.","Sack, M.","Sailasuta, N.","Saleh, M. G.","Schallmo, M. P.","Simard, N.","Stoffers, D.","Swinnen, S. P.","Tegenthoff, M.","Truong, P.","Wang, G.","Wilkinson, I. D.","Wittsack, H. J.","Woods, A. J.","Xu, H.","Yan, F.","Zhang, C.","Zipunnikov, V.","Zollner, H. J.","Edden, R. A. E.","Barker, P. 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of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites","journal":"Radiology","volume":"295","number":"1","pages":"171-180","note":"Povazan, Michal Mikkelsen, Mark Berrington, Adam Bhattacharyya, Pallab K Brix, Maiken K Buur, Pieter F Cecil, Kim M Chan, Kimberly L Chen, David Y T Craven, Alexander R Cuypers, Koen Dacko, Michael Duncan, Niall W Dydak, Ulrike Edmondson, David A Ende, Gabriele Ersland, Lars Forbes, Megan A Gao, Fei Greenhouse, Ian Harris, Ashley D He, Naying Heba, Stefanie Hoggard, Nigel Hsu, Tun-Wei Jansen, Jacobus F A Kangarlu, Alayar Lange, Thomas Lebel, R Marc Li, Yan Lin, Chien-Yuan E Liou, Jy-Kang Lirng, Jiing-Feng Liu, Feng Long, Joanna R Ma, Ruoyun Maes, Celine Moreno-Ortega, Marta Murray, Scott O Noah, Sean Noeske, Ralph Noseworthy, Michael D Oeltzschner, Georg Porges, Eric C Prisciandaro, James J Puts, Nicolaas A J Roberts, Timothy P L Sack, Markus Sailasuta, Napapon Saleh, Muhammad G Schallmo, Michael-Paul Simard, Nicholas Stoffers, Diederick Swinnen, Stephan P Tegenthoff, Martin Truong, Peter Wang, Guangbin Wilkinson, Iain D Wittsack, Hans-Jorg Woods, Adam J Xu, Hongmin Yan, Fuhua Zhang, Chencheng Zipunnikov, Vadim Zollner, Helge J Edden, Richard A E Barker, Peter B eng 2020/02/12 06:00 Radiology. 2020 Apr;295(1):171-180. doi: 10.1148/radiol.2020191037. Epub 2020 Feb 11.","abstract":"Background The hardware and software differences between MR vendors and individual sites influence the quantification of MR spectroscopy data. An analysis of a large data set may help to better understand sources of the total variance in quantified metabolite levels. Purpose To compare multisite quantitative brain MR spectroscopy data acquired in healthy participants at 26 sites by using the vendor-supplied single-voxel point-resolved spectroscopy (PRESS) sequence. Materials and Methods An MR spectroscopy protocol to acquire short-echo-time PRESS data from the midparietal region of the brain was disseminated to 26 research sites operating 3.0-T MR scanners from three different vendors. In this prospective study, healthy participants were scanned between July 2016 and December 2017. Data were analyzed by using software with simulated basis sets customized for each vendor implementation. The proportion of total variance attributed to vendor-, site-, and participant-related effects was estimated by using a linear mixed-effects model. P values were derived through parametric bootstrapping of the linear mixed-effects models (denoted Pboot). Results In total, 296 participants (mean age, 26 years +/- 4.6; 155 women and 141 men) were scanned. Good-quality data were recorded from all sites, as evidenced by a consistent linewidth of N-acetylaspartate (range, 4.4-5.0 Hz), signal-to-noise ratio (range, 174-289), and low Cramer-Rao lower bounds (</=5%) for all of the major metabolites. Among the major metabolites, no vendor effects were found for levels of myo-inositol (Pboot > .90), N-acetylaspartate and N-acetylaspartylglutamate (Pboot = .13), or glutamate and glutamine (Pboot = .11). Among the smaller resonances, no vendor effects were found for ascorbate (Pboot = .08), aspartate (Pboot > .90), glutathione (Pboot > .90), or lactate (Pboot = .28). Conclusion Multisite multivendor single-voxel MR spectroscopy studies performed at 3.0 T can yield results that are coherent across vendors, provided that vendor differences in pulse sequence implementation are accounted for in data analysis. However, the site-related effects on variability were more profound and suggest the need for further standardization of spectroscopic protocols. (c) RSNA, 2020 Online supplemental material is available for this article.","issn":"1527-1315 (Electronic) 0033-8419 (Linking)","doi":"10.1148/radiol.2020191037","url":"http://www.ncbi.nlm.nih.gov/pubmed/32043950","year":"2020","bibtex":"@article{RN231,\n author = {Povazan, M. and Mikkelsen, M. and Berrington, A. and Bhattacharyya, P. K. and Brix, M. K. and Buur, P. F. and Cecil, K. M. and Chan, K. L. and Chen, D. Y. T. and Craven, A. R. and Cuypers, K. and Dacko, M. and Duncan, N. W. and Dydak, U. and Edmondson, D. A. and Ende, G. and Ersland, L. and Forbes, M. A. and Gao, F. and Greenhouse, I. and Harris, A. D. and He, N. and Heba, S. and Hoggard, N. and Hsu, T. W. and Jansen, J. F. A. and Kangarlu, A. and Lange, T. and Lebel, R. M. and Li, Y. and Lin, C. E. and Liou, J. K. and Lirng, J. F. and Liu, F. and Long, J. R. and Ma, R. and Maes, C. and Moreno-Ortega, M. and Murray, S. O. and Noah, S. and Noeske, R. and Noseworthy, M. D. and Oeltzschner, G. and Porges, E. C. and Prisciandaro, J. J. and Puts, N. A. J. and Roberts, T. P. L. and Sack, M. and Sailasuta, N. and Saleh, M. G. and Schallmo, M. P. and Simard, N. and Stoffers, D. and Swinnen, S. P. and Tegenthoff, M. and Truong, P. and Wang, G. and Wilkinson, I. D. and Wittsack, H. J. and Woods, A. J. and Xu, H. and Yan, F. and Zhang, C. and Zipunnikov, V. and Zollner, H. J. and Edden, R. A. E. and Barker, P. B.},\n title = {Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites},\n journal = {Radiology},\n volume = {295},\n number = {1},\n pages = {171-180},\n note = {Povazan, Michal\nMikkelsen, Mark\nBerrington, Adam\nBhattacharyya, Pallab K\nBrix, Maiken K\nBuur, Pieter F\nCecil, Kim M\nChan, Kimberly L\nChen, David Y T\nCraven, Alexander R\nCuypers, Koen\nDacko, Michael\nDuncan, Niall W\nDydak, Ulrike\nEdmondson, David A\nEnde, Gabriele\nErsland, Lars\nForbes, Megan A\nGao, Fei\nGreenhouse, Ian\nHarris, Ashley D\nHe, Naying\nHeba, Stefanie\nHoggard, Nigel\nHsu, Tun-Wei\nJansen, Jacobus F A\nKangarlu, Alayar\nLange, Thomas\nLebel, R Marc\nLi, Yan\nLin, Chien-Yuan E\nLiou, Jy-Kang\nLirng, Jiing-Feng\nLiu, Feng\nLong, Joanna R\nMa, Ruoyun\nMaes, Celine\nMoreno-Ortega, Marta\nMurray, Scott O\nNoah, Sean\nNoeske, Ralph\nNoseworthy, Michael D\nOeltzschner, Georg\nPorges, Eric C\nPrisciandaro, James J\nPuts, Nicolaas A J\nRoberts, Timothy P L\nSack, Markus\nSailasuta, Napapon\nSaleh, Muhammad G\nSchallmo, Michael-Paul\nSimard, Nicholas\nStoffers, Diederick\nSwinnen, Stephan P\nTegenthoff, Martin\nTruong, Peter\nWang, Guangbin\nWilkinson, Iain D\nWittsack, Hans-Jorg\nWoods, Adam J\nXu, Hongmin\nYan, Fuhua\nZhang, Chencheng\nZipunnikov, Vadim\nZollner, Helge J\nEdden, Richard A E\nBarker, Peter B\neng\n2020/02/12 06:00\nRadiology. 2020 Apr;295(1):171-180. doi: 10.1148/radiol.2020191037. Epub 2020 Feb 11.},\n abstract = {Background The hardware and software differences between MR vendors and individual sites influence the quantification of MR spectroscopy data. An analysis of a large data set may help to better understand sources of the total variance in quantified metabolite levels. Purpose To compare multisite quantitative brain MR spectroscopy data acquired in healthy participants at 26 sites by using the vendor-supplied single-voxel point-resolved spectroscopy (PRESS) sequence. Materials and Methods An MR spectroscopy protocol to acquire short-echo-time PRESS data from the midparietal region of the brain was disseminated to 26 research sites operating 3.0-T MR scanners from three different vendors. In this prospective study, healthy participants were scanned between July 2016 and December 2017. Data were analyzed by using software with simulated basis sets customized for each vendor implementation. The proportion of total variance attributed to vendor-, site-, and participant-related effects was estimated by using a linear mixed-effects model. P values were derived through parametric bootstrapping of the linear mixed-effects models (denoted Pboot). Results In total, 296 participants (mean age, 26 years +/- 4.6; 155 women and 141 men) were scanned. Good-quality data were recorded from all sites, as evidenced by a consistent linewidth of N-acetylaspartate (range, 4.4-5.0 Hz), signal-to-noise ratio (range, 174-289), and low Cramer-Rao lower bounds (</=5%) for all of the major metabolites. Among the major metabolites, no vendor effects were found for levels of myo-inositol (Pboot > .90), N-acetylaspartate and N-acetylaspartylglutamate (Pboot = .13), or glutamate and glutamine (Pboot = .11). Among the smaller resonances, no vendor effects were found for ascorbate (Pboot = .08), aspartate (Pboot > .90), glutathione (Pboot > .90), or lactate (Pboot = .28). Conclusion Multisite multivendor single-voxel MR spectroscopy studies performed at 3.0 T can yield results that are coherent across vendors, provided that vendor differences in pulse sequence implementation are accounted for in data analysis. However, the site-related effects on variability were more profound and suggest the need for further standardization of spectroscopic protocols. (c) RSNA, 2020 Online supplemental material is available for this article.},\n ISSN = {1527-1315 (Electronic)\n0033-8419 (Linking)},\n DOI = {10.1148/radiol.2020191037},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/32043950},\n year = {2020},\n type = {Journal Article}\n}\n\n","author_short":["Povazan, M.","Mikkelsen, M.","Berrington, A.","Bhattacharyya, P. K.","Brix, M. K.","Buur, P. F.","Cecil, K. M.","Chan, K. L.","Chen, D. Y. T.","Craven, A. R.","Cuypers, K.","Dacko, M.","Duncan, N. W.","Dydak, U.","Edmondson, D. A.","Ende, G.","Ersland, L.","Forbes, M. A.","Gao, F.","Greenhouse, I.","Harris, A. D.","He, N.","Heba, S.","Hoggard, N.","Hsu, T. W.","Jansen, J. F. A.","Kangarlu, A.","Lange, T.","Lebel, R. M.","Li, Y.","Lin, C. E.","Liou, J. K.","Lirng, J. F.","Liu, F.","Long, J. R.","Ma, R.","Maes, C.","Moreno-Ortega, M.","Murray, S. O.","Noah, S.","Noeske, R.","Noseworthy, M. D.","Oeltzschner, G.","Porges, E. C.","Prisciandaro, J. J.","Puts, N. A. J.","Roberts, T. P. L.","Sack, M.","Sailasuta, N.","Saleh, M. G.","Schallmo, M. P.","Simard, N.","Stoffers, D.","Swinnen, S. P.","Tegenthoff, M.","Truong, P.","Wang, G.","Wilkinson, I. D.","Wittsack, H. J.","Woods, A. J.","Xu, H.","Yan, F.","Zhang, C.","Zipunnikov, V.","Zollner, H. J.","Edden, R. A. E.","Barker, P. 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