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Measurement Variability Following MRI System Upgrade

Major hardware/software changes to MRI platforms, either planned or unplanned, will almost invariably occur in longitudinal studies. Our objective was to assess the resulting variability on relevant imaging measurements in such context, specifically for three Siemens Healthcare Magnetom Trio upgrade...

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Autores principales: Potvin, Olivier, Khademi, April, Chouinard, Isabelle, Farokhian, Farnaz, Dieumegarde, Louis, Leppert, Ilana, Hoge, Rick, Rajah, Maria Natasha, Bellec, Pierre, Duchesne, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6648007/
https://www.ncbi.nlm.nih.gov/pubmed/31379704
http://dx.doi.org/10.3389/fneur.2019.00726
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author Potvin, Olivier
Khademi, April
Chouinard, Isabelle
Farokhian, Farnaz
Dieumegarde, Louis
Leppert, Ilana
Hoge, Rick
Rajah, Maria Natasha
Bellec, Pierre
Duchesne, Simon
author_facet Potvin, Olivier
Khademi, April
Chouinard, Isabelle
Farokhian, Farnaz
Dieumegarde, Louis
Leppert, Ilana
Hoge, Rick
Rajah, Maria Natasha
Bellec, Pierre
Duchesne, Simon
author_sort Potvin, Olivier
collection PubMed
description Major hardware/software changes to MRI platforms, either planned or unplanned, will almost invariably occur in longitudinal studies. Our objective was to assess the resulting variability on relevant imaging measurements in such context, specifically for three Siemens Healthcare Magnetom Trio upgrades to the Prisma(fit) platform. We report data acquired on three healthy volunteers scanned before and after three different platform upgrades. We assessed differences in image signal [contrast-to-noise ratio (CNR)] on T1-weighted images (T1w) and fluid-attenuated inversion recovery images (FLAIR); brain morphometry on T1w image; and small vessel disease (white matter hyperintensities; WMH) on FLAIR image. Prisma(fit) upgrade resulted in higher (30%) and more variable neocortical CNR and larger brain volume and thickness mainly in frontal areas. A significant relationship was observed between neocortical CNR and neocortical volume. For FLAIR images, no significant CNR difference was observed, but WMH volumes were significantly smaller (-68%) after Prisma(fit) upgrade, when compared to results on the Magnetom Trio. Together, these results indicate that Prisma(fit) upgrade significantly influenced image signal, brain morphometry measures and small vessel diseases measures and that these effects need to be taken into account when analyzing results from any longitudinal study undergoing similar changes.
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spelling pubmed-66480072019-08-02 Measurement Variability Following MRI System Upgrade Potvin, Olivier Khademi, April Chouinard, Isabelle Farokhian, Farnaz Dieumegarde, Louis Leppert, Ilana Hoge, Rick Rajah, Maria Natasha Bellec, Pierre Duchesne, Simon Front Neurol Neurology Major hardware/software changes to MRI platforms, either planned or unplanned, will almost invariably occur in longitudinal studies. Our objective was to assess the resulting variability on relevant imaging measurements in such context, specifically for three Siemens Healthcare Magnetom Trio upgrades to the Prisma(fit) platform. We report data acquired on three healthy volunteers scanned before and after three different platform upgrades. We assessed differences in image signal [contrast-to-noise ratio (CNR)] on T1-weighted images (T1w) and fluid-attenuated inversion recovery images (FLAIR); brain morphometry on T1w image; and small vessel disease (white matter hyperintensities; WMH) on FLAIR image. Prisma(fit) upgrade resulted in higher (30%) and more variable neocortical CNR and larger brain volume and thickness mainly in frontal areas. A significant relationship was observed between neocortical CNR and neocortical volume. For FLAIR images, no significant CNR difference was observed, but WMH volumes were significantly smaller (-68%) after Prisma(fit) upgrade, when compared to results on the Magnetom Trio. Together, these results indicate that Prisma(fit) upgrade significantly influenced image signal, brain morphometry measures and small vessel diseases measures and that these effects need to be taken into account when analyzing results from any longitudinal study undergoing similar changes. Frontiers Media S.A. 2019-07-16 /pmc/articles/PMC6648007/ /pubmed/31379704 http://dx.doi.org/10.3389/fneur.2019.00726 Text en Copyright © 2019 Potvin, Khademi, Chouinard, Farokhian, Dieumegarde, Leppert, Hoge, Rajah, Bellec, Duchesne, the CIMA-Q group and the CCNA group. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Potvin, Olivier
Khademi, April
Chouinard, Isabelle
Farokhian, Farnaz
Dieumegarde, Louis
Leppert, Ilana
Hoge, Rick
Rajah, Maria Natasha
Bellec, Pierre
Duchesne, Simon
Measurement Variability Following MRI System Upgrade
title Measurement Variability Following MRI System Upgrade
title_full Measurement Variability Following MRI System Upgrade
title_fullStr Measurement Variability Following MRI System Upgrade
title_full_unstemmed Measurement Variability Following MRI System Upgrade
title_short Measurement Variability Following MRI System Upgrade
title_sort measurement variability following mri system upgrade
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6648007/
https://www.ncbi.nlm.nih.gov/pubmed/31379704
http://dx.doi.org/10.3389/fneur.2019.00726
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