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Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants

Little attention has been paid to relating MRS outputs of vendor‐supplied platforms to those from research software. This comparison is crucial to advance MRS as a clinical prognostic tool for disease or injury, recovery, and outcome. The work presented here investigates the agreement between metabo...

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Autores principales: Moss, Hunter G., Jenkins, Dorothea D., Yazdani, Milad, Brown, Truman R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593752/
https://www.ncbi.nlm.nih.gov/pubmed/30924565
http://dx.doi.org/10.1002/nbm.4089
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author Moss, Hunter G.
Jenkins, Dorothea D.
Yazdani, Milad
Brown, Truman R.
author_facet Moss, Hunter G.
Jenkins, Dorothea D.
Yazdani, Milad
Brown, Truman R.
author_sort Moss, Hunter G.
collection PubMed
description Little attention has been paid to relating MRS outputs of vendor‐supplied platforms to those from research software. This comparison is crucial to advance MRS as a clinical prognostic tool for disease or injury, recovery, and outcome. The work presented here investigates the agreement between metabolic ratios reported from vendor‐provided and LCModel fitting algorithms using MRS data obtained on Siemens 3 T TIM Trio and 3 T Skyra MRI scanners in a total of 55 premature infants and term neonates with hypoxic ischemic encephalopathy (HIE). We compared peak area ratios in single voxels placed in basal ganglia (BG) and frontal white matter (WM) using standard PRESS (TE = 30 ms and 270 ms) and STEAM (TE = 20 ms) MRS sequences at multiple times after birth from 5 to 60 days. A total of 74 scans met quality standards for inclusion, reflecting a spectrum of neonatal disease and several months of early infant development. For the long TE PRESS sequence, N‐acetylaspartate (NAA) and Choline (Cho) ratios to Creatine (Cr) correlated strongly between LCModel and vendor‐supplied software in the BG. For shorter TEs, the ratios of NAA/Cr and Cho/Cr were more closely related using STEAM at TE = 20 ms in BG and WM, which was significantly better than using PRESS at TE = 30 ms in the BG of HIE infants. At short TEs, however, it is still unclear which MRS sequence, STEAM or PRESS, is superior and thus more work is required in this regard for translating research‐generated MRS ratios to clinical diagnosis and prognostication, and unlocking the potential of MRS for in vivo metabolomics. MRS at both long and short TEs is desirable for standard metabolites such as NAA, Cho and Cr, along with important lower concentration metabolites such as myo‐inositol and glutathione.
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spelling pubmed-65937522019-07-10 Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants Moss, Hunter G. Jenkins, Dorothea D. Yazdani, Milad Brown, Truman R. NMR Biomed Research Articles Little attention has been paid to relating MRS outputs of vendor‐supplied platforms to those from research software. This comparison is crucial to advance MRS as a clinical prognostic tool for disease or injury, recovery, and outcome. The work presented here investigates the agreement between metabolic ratios reported from vendor‐provided and LCModel fitting algorithms using MRS data obtained on Siemens 3 T TIM Trio and 3 T Skyra MRI scanners in a total of 55 premature infants and term neonates with hypoxic ischemic encephalopathy (HIE). We compared peak area ratios in single voxels placed in basal ganglia (BG) and frontal white matter (WM) using standard PRESS (TE = 30 ms and 270 ms) and STEAM (TE = 20 ms) MRS sequences at multiple times after birth from 5 to 60 days. A total of 74 scans met quality standards for inclusion, reflecting a spectrum of neonatal disease and several months of early infant development. For the long TE PRESS sequence, N‐acetylaspartate (NAA) and Choline (Cho) ratios to Creatine (Cr) correlated strongly between LCModel and vendor‐supplied software in the BG. For shorter TEs, the ratios of NAA/Cr and Cho/Cr were more closely related using STEAM at TE = 20 ms in BG and WM, which was significantly better than using PRESS at TE = 30 ms in the BG of HIE infants. At short TEs, however, it is still unclear which MRS sequence, STEAM or PRESS, is superior and thus more work is required in this regard for translating research‐generated MRS ratios to clinical diagnosis and prognostication, and unlocking the potential of MRS for in vivo metabolomics. MRS at both long and short TEs is desirable for standard metabolites such as NAA, Cho and Cr, along with important lower concentration metabolites such as myo‐inositol and glutathione. John Wiley and Sons Inc. 2019-03-29 2019-06 /pmc/articles/PMC6593752/ /pubmed/30924565 http://dx.doi.org/10.1002/nbm.4089 Text en © 2019 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Moss, Hunter G.
Jenkins, Dorothea D.
Yazdani, Milad
Brown, Truman R.
Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
title Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
title_full Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
title_fullStr Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
title_full_unstemmed Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
title_short Identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
title_sort identifying the translational complexity of magnetic resonance spectroscopy in neonates and infants
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593752/
https://www.ncbi.nlm.nih.gov/pubmed/30924565
http://dx.doi.org/10.1002/nbm.4089
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