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Brain atrophy measurement over a MRI scanner change in multiple sclerosis

BACKGROUND: A change in MRI hardware impacts brain volume measurements. The aim of this study was to use MRI data from multiple sclerosis (MS) patients and healthy control subjects (HCs) to statistically model how to adjust brain atrophy measures in MS patients after a major scanner upgrade. METHODS...

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Autores principales: Sinnecker, Tim, Schädelin, Sabine, Benkert, Pascal, Ruberte, Esther, Amann, Michael, Lieb, Johanna M., Naegelin, Yvonne, Müller, Jannis, Kuhle, Jens, Derfuss, Tobias, Kappos, Ludwig, Wuerfel, Jens, Granziera, Cristina, Yaldizli, Özgür
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424626/
https://www.ncbi.nlm.nih.gov/pubmed/36007437
http://dx.doi.org/10.1016/j.nicl.2022.103148
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author Sinnecker, Tim
Schädelin, Sabine
Benkert, Pascal
Ruberte, Esther
Amann, Michael
Lieb, Johanna M.
Naegelin, Yvonne
Müller, Jannis
Kuhle, Jens
Derfuss, Tobias
Kappos, Ludwig
Wuerfel, Jens
Granziera, Cristina
Yaldizli, Özgür
author_facet Sinnecker, Tim
Schädelin, Sabine
Benkert, Pascal
Ruberte, Esther
Amann, Michael
Lieb, Johanna M.
Naegelin, Yvonne
Müller, Jannis
Kuhle, Jens
Derfuss, Tobias
Kappos, Ludwig
Wuerfel, Jens
Granziera, Cristina
Yaldizli, Özgür
author_sort Sinnecker, Tim
collection PubMed
description BACKGROUND: A change in MRI hardware impacts brain volume measurements. The aim of this study was to use MRI data from multiple sclerosis (MS) patients and healthy control subjects (HCs) to statistically model how to adjust brain atrophy measures in MS patients after a major scanner upgrade. METHODS: We scanned 20 MS patients and 26 HCs before and three months after a major scanner upgrade (1.5 T Siemens Healthineers Magnetom Avanto to 3 T Siemens Healthineers Skyra Fit). The patient group also underwent standardized serial MRIs before and after the scanner change. Percentage whole brain volume changes (PBVC) measured by Structural Image Evaluation using Normalization of Atrophy (SIENA) in the HCs was used to estimate a corrective term based on a linear model. The factor was internally validated in HCs, and then applied to the MS group. RESULTS: Mean PBVC during the scanner change was higher in MS than HCs (-4.1 ± 0.8 % versus −3.4 ± 0.6 %). A fixed corrective term of 3.4 (95% confidence interval: 3.13–3.67)% was estimated based on the observed average changes in HCs. Age and gender did not have a significant influence on this corrective term. After adjustment, a linear mixed effects model showed that the brain atrophy measures in MS during the scanner upgrade were not anymore associated with the scanner type (old vs new scanner; p = 0.29). CONCLUSION: A scanner change affects brain atrophy measures in longitudinal cohorts. The inclusion of a corrective term based on changes observed in HCs helps to adjust for the known and unknown factors associated with a scanner upgrade on a group level.
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spelling pubmed-94246262022-08-31 Brain atrophy measurement over a MRI scanner change in multiple sclerosis Sinnecker, Tim Schädelin, Sabine Benkert, Pascal Ruberte, Esther Amann, Michael Lieb, Johanna M. Naegelin, Yvonne Müller, Jannis Kuhle, Jens Derfuss, Tobias Kappos, Ludwig Wuerfel, Jens Granziera, Cristina Yaldizli, Özgür Neuroimage Clin Regular Article BACKGROUND: A change in MRI hardware impacts brain volume measurements. The aim of this study was to use MRI data from multiple sclerosis (MS) patients and healthy control subjects (HCs) to statistically model how to adjust brain atrophy measures in MS patients after a major scanner upgrade. METHODS: We scanned 20 MS patients and 26 HCs before and three months after a major scanner upgrade (1.5 T Siemens Healthineers Magnetom Avanto to 3 T Siemens Healthineers Skyra Fit). The patient group also underwent standardized serial MRIs before and after the scanner change. Percentage whole brain volume changes (PBVC) measured by Structural Image Evaluation using Normalization of Atrophy (SIENA) in the HCs was used to estimate a corrective term based on a linear model. The factor was internally validated in HCs, and then applied to the MS group. RESULTS: Mean PBVC during the scanner change was higher in MS than HCs (-4.1 ± 0.8 % versus −3.4 ± 0.6 %). A fixed corrective term of 3.4 (95% confidence interval: 3.13–3.67)% was estimated based on the observed average changes in HCs. Age and gender did not have a significant influence on this corrective term. After adjustment, a linear mixed effects model showed that the brain atrophy measures in MS during the scanner upgrade were not anymore associated with the scanner type (old vs new scanner; p = 0.29). CONCLUSION: A scanner change affects brain atrophy measures in longitudinal cohorts. The inclusion of a corrective term based on changes observed in HCs helps to adjust for the known and unknown factors associated with a scanner upgrade on a group level. Elsevier 2022-08-10 /pmc/articles/PMC9424626/ /pubmed/36007437 http://dx.doi.org/10.1016/j.nicl.2022.103148 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Sinnecker, Tim
Schädelin, Sabine
Benkert, Pascal
Ruberte, Esther
Amann, Michael
Lieb, Johanna M.
Naegelin, Yvonne
Müller, Jannis
Kuhle, Jens
Derfuss, Tobias
Kappos, Ludwig
Wuerfel, Jens
Granziera, Cristina
Yaldizli, Özgür
Brain atrophy measurement over a MRI scanner change in multiple sclerosis
title Brain atrophy measurement over a MRI scanner change in multiple sclerosis
title_full Brain atrophy measurement over a MRI scanner change in multiple sclerosis
title_fullStr Brain atrophy measurement over a MRI scanner change in multiple sclerosis
title_full_unstemmed Brain atrophy measurement over a MRI scanner change in multiple sclerosis
title_short Brain atrophy measurement over a MRI scanner change in multiple sclerosis
title_sort brain atrophy measurement over a mri scanner change in multiple sclerosis
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424626/
https://www.ncbi.nlm.nih.gov/pubmed/36007437
http://dx.doi.org/10.1016/j.nicl.2022.103148
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