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Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat

MRI scanner hardware, field strengths, and sequence parameters are major variables in diffusion studies of the spinal cord. Reliability between scanners is not well known, particularly for the thoracic cord. DTI data was collected for the entire cervical and thoracic spinal cord in thirty healthy ad...

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Autores principales: Middleton, Devon M., Li, Yutong, Chen, Andrew, Shinohara, Russell, Fisher, Joshua, Krisa, Laura, Elliot, Mark, Faro, Scott H., Woo, John H., Flanders, Adam E., Mohamed, Feroze B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643628/
https://www.ncbi.nlm.nih.gov/pubmed/37957164
http://dx.doi.org/10.1038/s41598-023-46465-6
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author Middleton, Devon M.
Li, Yutong
Chen, Andrew
Shinohara, Russell
Fisher, Joshua
Krisa, Laura
Elliot, Mark
Faro, Scott H.
Woo, John H.
Flanders, Adam E.
Mohamed, Feroze B.
author_facet Middleton, Devon M.
Li, Yutong
Chen, Andrew
Shinohara, Russell
Fisher, Joshua
Krisa, Laura
Elliot, Mark
Faro, Scott H.
Woo, John H.
Flanders, Adam E.
Mohamed, Feroze B.
author_sort Middleton, Devon M.
collection PubMed
description MRI scanner hardware, field strengths, and sequence parameters are major variables in diffusion studies of the spinal cord. Reliability between scanners is not well known, particularly for the thoracic cord. DTI data was collected for the entire cervical and thoracic spinal cord in thirty healthy adult subjects with different MR vendors and field strengths. DTI metrics were extracted and averaged for all slices within each vertebral level. Metrics were examined for variability and then harmonized using longitudinal ComBat (longComBat). Four scanners were used: Siemens 3 T Prisma, Siemens 1.5 T Avanto, Philips 3 T Ingenia, Philips 1.5 T Achieva. Average full cord diffusion values/standard deviation for all subjects and scanners were FA: 0.63, σ = 0.10, MD: 1.11, σ = 0.12 × 10(−3) mm(2)/s, AD: 1.98, σ = 0.55 × 10(−3) mm(2)/s, RD: 0.67, σ = 0.31 × 10(−3) mm(2)/s. FA metrics averaged for all subjects by level were relatively consistent across scanners, but large variability was found in diffusivity measures. Coefficients of variation were lowest in the cervical region, and relatively lower for FA than diffusivity measures. Harmonized metrics showed greatly improved agreement between scanners. Variability in DTI of the spinal cord arises from scanner hardware differences, pulse sequence differences, physiological motion, and subject compliance. The use of longComBat resulted in large improvement in agreement of all DTI metrics between scanners. This study shows the importance of harmonization of diffusion data in the spinal cord and potential for longitudinal and multisite clinical research and clinical trials.
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spelling pubmed-106436282023-11-13 Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat Middleton, Devon M. Li, Yutong Chen, Andrew Shinohara, Russell Fisher, Joshua Krisa, Laura Elliot, Mark Faro, Scott H. Woo, John H. Flanders, Adam E. Mohamed, Feroze B. Sci Rep Article MRI scanner hardware, field strengths, and sequence parameters are major variables in diffusion studies of the spinal cord. Reliability between scanners is not well known, particularly for the thoracic cord. DTI data was collected for the entire cervical and thoracic spinal cord in thirty healthy adult subjects with different MR vendors and field strengths. DTI metrics were extracted and averaged for all slices within each vertebral level. Metrics were examined for variability and then harmonized using longitudinal ComBat (longComBat). Four scanners were used: Siemens 3 T Prisma, Siemens 1.5 T Avanto, Philips 3 T Ingenia, Philips 1.5 T Achieva. Average full cord diffusion values/standard deviation for all subjects and scanners were FA: 0.63, σ = 0.10, MD: 1.11, σ = 0.12 × 10(−3) mm(2)/s, AD: 1.98, σ = 0.55 × 10(−3) mm(2)/s, RD: 0.67, σ = 0.31 × 10(−3) mm(2)/s. FA metrics averaged for all subjects by level were relatively consistent across scanners, but large variability was found in diffusivity measures. Coefficients of variation were lowest in the cervical region, and relatively lower for FA than diffusivity measures. Harmonized metrics showed greatly improved agreement between scanners. Variability in DTI of the spinal cord arises from scanner hardware differences, pulse sequence differences, physiological motion, and subject compliance. The use of longComBat resulted in large improvement in agreement of all DTI metrics between scanners. This study shows the importance of harmonization of diffusion data in the spinal cord and potential for longitudinal and multisite clinical research and clinical trials. Nature Publishing Group UK 2023-11-13 /pmc/articles/PMC10643628/ /pubmed/37957164 http://dx.doi.org/10.1038/s41598-023-46465-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Middleton, Devon M.
Li, Yutong
Chen, Andrew
Shinohara, Russell
Fisher, Joshua
Krisa, Laura
Elliot, Mark
Faro, Scott H.
Woo, John H.
Flanders, Adam E.
Mohamed, Feroze B.
Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
title Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
title_full Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
title_fullStr Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
title_full_unstemmed Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
title_short Harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 T and 3 T using longitudinal ComBat
title_sort harmonization of multi-site diffusion tensor imaging data for cervical and thoracic spinal cord at 1.5 t and 3 t using longitudinal combat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643628/
https://www.ncbi.nlm.nih.gov/pubmed/37957164
http://dx.doi.org/10.1038/s41598-023-46465-6
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