| Literature DB >> 32043950 |
Michal Považan1, Mark Mikkelsen1, Adam Berrington1, Pallab K Bhattacharyya1, Maiken K Brix1, Pieter F Buur1, Kim M Cecil1, Kimberly L Chan1, David Y T Chen1, Alexander R Craven1, Koen Cuypers1, Michael Dacko1, Niall W Duncan1, Ulrike Dydak1, David A Edmondson1, Gabriele Ende1, Lars Ersland1, Megan A Forbes1, Fei Gao1, Ian Greenhouse1, Ashley D Harris1, Naying He1, Stefanie Heba1, Nigel Hoggard1, Tun-Wei Hsu1, Jacobus F A Jansen1, Alayar Kangarlu1, Thomas Lange1, R Marc Lebel1, Yan Li1, Chien-Yuan E Lin1, Jy-Kang Liou1, Jiing-Feng Lirng1, Feng Liu1, Joanna R Long1, Ruoyun Ma1, Celine Maes1, Marta Moreno-Ortega1, Scott O Murray1, Sean Noah1, Ralph Noeske1, Michael D Noseworthy1, Georg Oeltzschner1, Eric C Porges1, James J Prisciandaro1, Nicolaas A J Puts1, Timothy P L Roberts1, Markus Sack1, Napapon Sailasuta1, Muhammad G Saleh1, Michael-Paul Schallmo1, Nicholas Simard1, Diederick Stoffers1, Stephan P Swinnen1, Martin Tegenthoff1, Peter Truong1, Guangbin Wang1, Iain D Wilkinson1, Hans-Jörg Wittsack1, Adam J Woods1, Hongmin Xu1, Fuhua Yan1, Chencheng Zhang1, Vadim Zipunnikov1, Helge J Zöllner1, Richard A E Edden1, Peter B Barker1.
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 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.Entities:
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Year: 2020 PMID: 32043950 PMCID: PMC7104702 DOI: 10.1148/radiol.2020191037
Source DB: PubMed Journal: Radiology ISSN: 0033-8419 Impact factor: 11.105