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 brainwas 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 linearmixed-effects models (denoted P-boot).
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 Cramer-Rao lower bounds ( .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. (C) RSNA, 2020
| Original language | English |
|---|---|
| Pages (from-to) | 171-180 |
| Number of pages | 10 |
| Journal | Radiology |
| Volume | 295 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Apr 2020 |
Keywords
- METABOLITE QUANTIFICATION
- RESONANCE SPECTROSCOPY
- SHORT-ECHO
- 3 T
- COMBINATION
Access to Document
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
}
In: Radiology, Vol. 295, No. 1, 04.2020, p. 171-180.
Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites
AU - Povazan, 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 - Jansen, Jaap
N1 - Funding Information: disclosed no relevant relationships. A.B. disclosed no relevant relationships. P.K.B. disclosed no relevant relationships. M.K.B. disclosed no relevant relationships. P.F.B. disclosed no relevant relationships. K.M.C. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for and received clinical trial contract award from Lumos Pharma; is employed by University of Cincinnati College of Medicine; has grants/grants pending with National Institutes of Health (NIH); received payment for lectures including service on speakers bureaus at State of New Hampshire Health Home Conference; is study section member at NIH Center for Scientific Review; was guest speaker at Kentucky Wesleyan College. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. K.L.C. disclosed no relevant relationships. D.Y.T.C. disclosed no relevant relationships. A.R.C. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: holds stock/ stock options in NordicNeuroLab. Other relationships: disclosed no relevant relationships. K.C. disclosed no relevant relationships. M.D. disclosed no relevant relationships. N.W.D. disclosed no relevant relationships. U.D. disclosed no relevant relationships. D.A.E. disclosed no relevant relationships. G.E. disclosed no relevant relationships. L.E. disclosed no relevant relationships. M.A.F. disclosed no relevant relationships. F.G. disclosed no relevant relationships. I.G. disclosed no relevant relationships. A.D.H. Activities related to the present article: institution received funds through a subcontract of the NIH grant awarded to Richard Edden to offset MRI scanning costs that was performed at University of Calgary. Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. N.He disclosed no relevant relationships. S.H. Activities related to the present article: institution received grant from German Research Foundation (Sonderforschungsbereich 874, Project no. 122679504). Activities not related to the present article: disclosed no relevant relationships. Other relationships: disclosed no relevant relationships. N. Hoggard disclosed no relevant relationships. T.W.H. disclosed no relevant relationships. J.F.A.J. disclosed no relevant relationships. A.K. disclosed no relevant relationships. T.L. disclosed no relevant relationships. R.M.L. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is employed by and holds stock/stock options in GE Healthcare. Other relationships: disclosed no relevant relationships. Y.L. disclosed no relevant relationships. C.Y.E.L. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is employed by GE Healthcare Taiwan. Other relationships: disclosed no relevant relationships. J.K.L. disclosed no relevant relationships. J.F.L. disclosed no relevant relationships. F.L. disclosed no relevant relationships. J.R.L. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: received payment for travel/accommodations/meeting expenses unrelated to activities listed from Philips and Siemens. Other relationships: disclosed no relevant relationships. R.M. disclosed no relevant relationships. C.M. disclosed no relevant relationships. M.M.O. disclosed no relevant relationships. S.O.M. disclosed no relevant relationships. S.N. disclosed no relevant relationships. R.N. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is employed by GE Healthcare. Other relationships: disclosed no relevant relationships. M.D.N. disclosed no relevant relationships. G.O. disclosed no relevant relationships. E.C.P. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is board member of Evren Technologies; is employed by University of Florida. Other relationships: disclosed no relevant relationships. J.J.P. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a consultant for Laboratorio Farmaceutico CT Srl. Other relationships: disclosed no relevant relationships. N.A.J.P. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is employed by the Johns Hopkins University School of Medicine; has grants/grants pending with NIH/Eunice Kennedy Shriver National Institute of Child Health and Human Development. Other relationships: disclosed no relevant relationships. T.P.L.R. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is board member of CTF and MEG; is a consultant for Avexis, Ricoh, and Spago; has grants/grants pending with NIH; has patents (planned, pending, or issued) with Elekta Oy; holds stock/stock options in Prism Clinical Imaging; has consulting agreement with Acadia. Other relationships: disclosed no relevant relationships. M.S. disclosed no relevant relationships. N. Sailasuta Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: collaborated with Centre for Addiction and Mental Health. Other relationships: disclosed no relevant relationships. M.G.S. disclosed no relevant relationships. M.P.S. disclosed no relevant relationships. N. Simard disclosed no relevant relationships. D.S. disclosed no relevant relationships. S.P.S. disclosed no relevant relationships. M.T. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is employed by Ruhr University; has grants/grants pending with DFG and DGUV; received payment for lectures including service on speakers bureaus and payment for travel/accommodations/meeting expenses unrelated to activities listed from Novartis; received payment for development of educational presentations from DGUV. Other relationships: disclosed no relevant relationships. P.T. disclosed no relevant relationships. G.W. disclosed no relevant relationships. I.D.W. disclosed no relevant relationships. H.J.W. disclosed no relevant relationships. A.J.W. disclosed no relevant relationships. H.X. disclosed no relevant relationships. F.Y. disclosed no relevant relationships. C.Z. disclosed no relevant relationships. V.Z. disclosed no relevant relationships. H.J.Z. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is employed by the Institute for Clinical Neuroscience and Medical Psychology (Germany). Other relationships: disclosed no relevant relationships. R.A.E.E. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: has grants/grants pending with Siemens Medical Systems. Other relationships: disclosed no relevant relationships. P.B.B. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: has grants/grants pending with NIH. Other relationships: disclosed no relevant relationships. Funding Information: Supported by the National Institutes of Health (NIH) (R01 EB016089, R01 EB023963, P41 EB015909). Data acquisition was supported by Taiwan Ministry of Science and Technology (105-2410-H-038-006-MY3). Data collection was supported by the Shandong Provincial Key Research and Development Plan of China (2016ZD-JS07A16), National Natural Science Foundation of China for Young Scholars (81601479), and Taishan Scholars Project (tsqn201812147). Funding Information: A.J.W. was supported by the National Institute on Aging (K01 AG050707, R01 AG054077), University of Florida (UF), Center for Cognitive Aging and Memory (CAM), and McKnight Brain Research Foundation (MBRF). D.A.E. was supported by NIH (F31 ES028081). E.C.P. was supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) (K01 AA025306), UF, CAM, and MBRF. H.J.Z. was supported by Deutsche Forschungsgemeinschaft (SFB 974 TP B07). J.J.P. was supported by NIAAA (K23 AA020842). K.M.C. was supported by NIH (R01 MH095014, R01 NS096207). M.P.S. was supported by NIH (F32 EY025121). N.A.J.P. receives salary support from NIH (R00 MH107719). S.P.S. supported by Research Foundation-Flanders (G089818N), Excellence of Science (30446199, MEMODYN [The Journey of a Memory: Dynamics of Learning and Consolidation in Maturation and Aging]), and the KU Leuven Research Fund (C16/15/070). Publisher Copyright: © RSNA, 2020.
PY - 2020/4
Y1 - 2020/4
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 brainwas 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 linearmixed-effects models (denoted P-boot).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 Cramer-Rao lower bounds ( .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. (C) RSNA, 2020
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 brainwas 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 linearmixed-effects models (denoted P-boot).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 Cramer-Rao lower bounds ( .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. (C) RSNA, 2020
KW - METABOLITE QUANTIFICATION
KW - RESONANCE SPECTROSCOPY
KW - SHORT-ECHO
KW - 3 T
KW - COMBINATION
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
IS - 1
ER -