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

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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.

Original language	English
Pages (from-to)	171-180
Journal	Radiology
Volume	295
DOIs	https://doi.org/10.1148/radiol.2020191037
Publication status	Published - 11 Feb 2020

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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, 171-180. https://doi.org/10.1148/radiol.2020191037

@article{ffa2fe9b846140789c0b226e714c2cbc,

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 ± 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. {\textcopyright} RSNA, 2020 Online supplemental material is available for this article.",

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 Tun-Wei Hsu and Jansen, {Jacobus F A} and Alayar Kangarlu and Thomas Lange and Lebel, {R Marc} and Yan Li and Lin, {Chien-Yuan E} and Jy-Kang Liou and Jiing-Feng Lirng 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 Michael-Paul Schallmo and Nicholas Simard and Diederick Stoffers and Swinnen, {Stephan P} and Martin Tegenthoff and Peter Truong and Guangbin Wang and Wilkinson, {Iain D} and Hans-J{\"o}rg Wittsack 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}",

year = "2020",

month = feb,

day = "11",

doi = "10.1148/radiol.2020191037",

language = "English",

volume = "295",

pages = "171--180",

journal = "Radiology",

issn = "0033-8419",

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

}

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, T-W, Jansen, JFA, Kangarlu, A, Lange, T, Lebel, RM, Li, Y, Lin, C-YE, Liou, J-K, Lirng, J-F, 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, M-P, Simard, N, Stoffers, D, Swinnen, SP, Tegenthoff, M, Truong, P, Wang, G, Wilkinson, ID, Wittsack, H-J, 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, pp. 171-180. https://doi.org/10.1148/radiol.2020191037

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 - Lebel, R Marc

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 - 2020/2/11

Y1 - 2020/2/11

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 ± 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.

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 ± 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.

U2 - 10.1148/radiol.2020191037

DO - 10.1148/radiol.2020191037

M3 - Article

C2 - 32043950

SN - 0033-8419

VL - 295

SP - 171

EP - 180

JO - Radiology

JF - Radiology

ER -

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

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