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

dc.contributor.authorPovažan, Michal
dc.contributor.authorMikkelsen, Mark
dc.contributor.authorBerrington, Adam
dc.contributor.authorBhattacharyya, Pallab K.
dc.contributor.authorBrix, Maiken K.
dc.contributor.authorBuur, Pieter F.
dc.contributor.authorCecil, Kim M.
dc.contributor.authorChan, Kimberly L.
dc.contributor.authorChen, David Y.T.
dc.contributor.authorCraven, Alexander R.
dc.contributor.authorCuypers, Koen
dc.contributor.authorDacko, Michael
dc.contributor.authorDuncan, Niall W.
dc.contributor.authorDydak, Ulrike
dc.contributor.authorEdmondson, David A.
dc.contributor.authorEnde, Gabriele
dc.contributor.authorErsland, Lars
dc.contributor.authorForbes, Megan A.
dc.contributor.authorGao, Fei
dc.contributor.authorGreenhouse, Ian
dc.contributor.authorHarris, Ashley D.
dc.contributor.authorHe, Naying
dc.contributor.authorHeba, Stefanie
dc.contributor.authorHoggard, Nigel
dc.contributor.authorHsu, Tun-Wei
dc.contributor.authorJansen, Jacobus F.A.
dc.contributor.authorKangarlu, Alayar
dc.contributor.authorLange, Thomas
dc.contributor.authorLebel, R. Marc
dc.contributor.authorLi, Yan
dc.contributor.authorLin, Chien-Yuan E.
dc.contributor.authorLiou, Jy-Kang
dc.contributor.authorLirng, Jiing-Feng
dc.contributor.authorLiu, Feng
dc.contributor.authorLong, Joanna R.
dc.contributor.authorMa, Ruoyun
dc.contributor.authorMaes, Celine
dc.contributor.authorMoreno-Ortega, Marta
dc.contributor.authorMurray, Scott O.
dc.contributor.authorNoah, Sean
dc.contributor.authorNoeske, Ralph
dc.contributor.authorNoseworthy, Michael D.
dc.contributor.authorOeltzschner, Georg
dc.contributor.authorPorges, Eric C.
dc.contributor.authorPrisciandaro, James J.
dc.contributor.authorPuts, Nicolaas A.J.
dc.contributor.authorRoberts, Timothy P.L.
dc.contributor.authorSack, Markus
dc.contributor.authorSailasuta, Napapon
dc.contributor.authorSaleh, Muhammad G.
dc.contributor.authorSchallmo, Michael-Paul
dc.contributor.authorSimard, Nicholas
dc.contributor.authorStoffers, Diederick
dc.contributor.authorSwinnen, Stephan P.
dc.contributor.authorTegenthoff, Martin
dc.contributor.authorTruong, Peter
dc.contributor.authorWang, Guangbin
dc.contributor.authorWilkinson, Iain D.
dc.contributor.authorWittsack, Hans-Jörg
dc.contributor.authorWoods, Adam J.
dc.contributor.authorXu, Hongmin
dc.contributor.authorYan, Fuhua
dc.contributor.authorZhang, Chencheng
dc.contributor.authorZipunnikov, Vadim
dc.contributor.authorZöllner, Helge J.
dc.contributor.authorEdden, Richard A.E.
dc.contributor.authorBarker, Peter B.
dc.contributor.departmentRadiology and Imaging Sciences, School of Medicineen_US
dc.date.accessioned2022-09-16T15:54:57Z
dc.date.available2022-09-16T15:54:57Z
dc.date.issued2020-04
dc.description.abstractThe 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.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationPovažan M, Mikkelsen M, Berrington A, et al. Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites. Radiology. 2020;295(1):171-180. doi:10.1148/radiol.2020191037en_US
dc.identifier.urihttps://hdl.handle.net/1805/30027
dc.language.isoen_USen_US
dc.publisherRadiological Society of North Americaen_US
dc.relation.isversionof10.1148/radiol.2020191037en_US
dc.relation.journalRadiologyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourcePMCen_US
dc.subjectBrainen_US
dc.subjectMagnetic Resonance Spectroscopyen_US
dc.subjectCommerceen_US
dc.titleComparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sitesen_US
dc.typeArticleen_US
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