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 Greenhouse; Ashley 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

doi:10.1148/radiol.2020191037

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

Psychiatry & Behavioral Sciences

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

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 P_boot). Results: In total, 296 participants (mean age, 26 years 6 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 (P_boot >.90), N-acetylaspartate and N-acetylaspartylglutamate (P_boot = .13), or glutamate and glutamine (P_boot = .11). Among the smaller resonances, no vendor effects were found for ascorbate (P_boot = .08), aspartate (P_boot > .90), glutathione (P_boot > .90), or lactate (P_boot = .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.

Original language	English (US)
Pages (from-to)	171-180
Number of pages	10
Journal	Radiology
Volume	295
Issue number	1
DOIs	https://doi.org/10.1148/radiol.2020191037
State	Published - 2020

Bibliographical note

Publisher Copyright:
© RSNA, 2020.

Access

10.1148/radiol.2020191037

OpenUrl availability

Full text

Cite this

Považan, 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., ... Barker, P. B. (2020). Comparison of multivendor single-voxel MR spectroscopy data acquired in healthy brain at 26 sites. Radiology, 295(1), 171-180. https://doi.org/10.1148/radiol.2020191037

Považan, M, Mikkelsen, M, Berrington, A, Bhattacharyya, PK, Brix, MK, Buur, PF, Cecil, KM, Chan, KL, Chen, DYT, Craven, AR, Cuypers, K, Dacko, M, Duncan, NW, Dydak, U, Edmondson, DA, Ende, G, Ersland, L, Forbes, MA, Gao, F, Greenhouse, I, Harris, AD, He, N, Heba, S, Hoggard, N, Hsu, TW, Jansen, JFA, Kangarlu, A, Lange, T, Marc Lebel, R, Li, Y, Lin, CYE, Liou, JK, Lirng, JF, Liu, F, Long, JR, Ma, R, Maes, C, Moreno-Ortega, M, Murray, SO, Noah, S, Noeske, R, Noseworthy, MD, Oeltzschner, G, Porges, EC, Prisciandaro, JJ, Puts, NAJ, Roberts, TPL, Sack, M, Sailasuta, N, Saleh, MG, Schallmo, MP, Simard, N, Stoffers, D, Swinnen, SP, Tegenthoff, M, Truong, P, Wang, G, Wilkinson, ID, Wittsack, HJ, Woods, AJ, Xu, H, Yan, F, Zhang, C, Zipunnikov, V, Zöllner, HJ, Edden, RAE & Barker, PB 2020, 'Comparison of multivendor single-voxel MR spectroscopy data acquired in healthy brain at 26 sites', Radiology, vol. 295, no. 1, pp. 171-180. https://doi.org/10.1148/radiol.2020191037

@article{42e601cb10d54c989672cc6c42ed9b96,

title = "Comparison of multivendor single-voxel MR spectroscopy data acquired in healthy brain at 26 sites",

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 6 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 Cram{\'e}r-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.",

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

note = "Publisher Copyright: {\textcopyright} RSNA, 2020.",

year = "2020",

doi = "10.1148/radiol.2020191037",

language = "English (US)",

volume = "295",

pages = "171--180",

journal = "Radiology",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

number = "1",

}

TY - JOUR

T1 - Comparison of multivendor single-voxel MR spectroscopy data acquired in healthy brain at 26 sites

AU - Považan, Michal

AU - Mikkelsen, Mark

AU - Berrington, Adam

AU - Bhattacharyya, Pallab K.

AU - Brix, Maiken K.

AU - Buur, Pieter F.

AU - Cecil, Kim M.

AU - Chan, Kimberly L.

AU - Chen, David Y.T.

AU - Craven, Alexander R.

AU - Cuypers, Koen

AU - Dacko, Michael

AU - Duncan, Niall W.

AU - Dydak, Ulrike

AU - Edmondson, David A.

AU - Ende, Gabriele

AU - Ersland, Lars

AU - Forbes, Megan A.

AU - Gao, Fei

AU - Greenhouse, Ian

AU - Harris, Ashley D.

AU - He, Naying

AU - Heba, Stefanie

AU - Hoggard, Nigel

AU - Hsu, Tun Wei

AU - Jansen, Jacobus F.A.

AU - Kangarlu, Alayar

AU - Lange, Thomas

AU - Marc Lebel, R.

AU - Li, Yan

AU - Lin, Chien Yuan E.

AU - Liou, Jy Kang

AU - Lirng, Jiing Feng

AU - Liu, Feng

AU - Long, Joanna R.

AU - Ma, Ruoyun

AU - Maes, Celine

AU - Moreno-Ortega, Marta

AU - Murray, Scott O.

AU - Noah, Sean

AU - Noeske, Ralph

AU - Noseworthy, Michael D.

AU - Oeltzschner, Georg

AU - Porges, Eric C.

AU - Prisciandaro, James J.

AU - Puts, Nicolaas A.J.

AU - Roberts, Timothy P.L.

AU - Sack, Markus

AU - Sailasuta, Napapon

AU - Saleh, Muhammad G.

AU - Schallmo, Michael Paul

AU - Simard, Nicholas

AU - Stoffers, Diederick

AU - Swinnen, Stephan P.

AU - Tegenthoff, Martin

AU - Truong, Peter

AU - Wang, Guangbin

AU - Wilkinson, Iain D.

AU - Wittsack, Hans Jörg

AU - Woods, Adam J.

AU - Xu, Hongmin

AU - Yan, Fuhua

AU - Zhang, Chencheng

AU - Zipunnikov, Vadim

AU - Zöllner, Helge J.

AU - Edden, Richard A.E.

AU - Barker, Peter B.

PY - 2020

Y1 - 2020

N2 - 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 6 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.

AB - 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 6 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.

UR - http://www.scopus.com/inward/record.url?scp=85082763499&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85082763499&partnerID=8YFLogxK

U2 - 10.1148/radiol.2020191037

DO - 10.1148/radiol.2020191037

M3 - Article

C2 - 32043950

AN - SCOPUS:85082763499

SN - 0033-8419

VL - 295

SP - 171

EP - 180

JO - Radiology

JF - Radiology

IS - 1

ER -

Comparison of multivendor single-voxel MR spectroscopy data acquired in healthy brain at 26 sites

Abstract

Bibliographical note

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this