Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites

Michal Považan, Mark Mikkelsen, Adam Berrington, Pallab K Bhattacharyya, Maiken K Brix, Pieter F Buur, Kim M Cecil, Kimberly L Chan, David Y T Chen, Alexander R Craven, Koen Cuypers, Michael Dacko, Niall W Duncan, Ulrike Dydak, David A Edmondson, Gabriele Ende, Lars Ersland, Megan A Forbes, Fei Gao, Ian GreenhouseAshley D Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F A Jansen, Alayar Kangarlu, Thomas Lange, R Marc Lebel, Yan Li, Chien-Yuan E Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Joanna R Long, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O Murray, Sean Noah, Ralph Noeske, Michael D Noseworthy, Georg Oeltzschner, Eric C Porges, James J Prisciandaro, Nicolaas A J Puts, Timothy P L Roberts, Markus Sack, Napapon Sailasuta, Muhammad G Saleh, Michael-Paul Schallmo, Nicholas Simard, Diederick Stoffers, Stephan P Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D Wilkinson, Hans-Jörg Wittsack, Adam J Woods, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J Zöllner, Richard A E Edden, Peter B Barker

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review

54 Downloads (Pure)


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 Cramér-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. © RSNA, 2020 Online supplemental material is available for this article.

Originele taal-2Engels
Pagina's (van-tot)171-180
StatusGepubliceerd - 11 feb 2020

Vingerafdruk Duik in de onderzoeksthema's van 'Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites'. Samen vormen ze een unieke vingerafdruk.

Citeer dit