Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject...

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Vydané v:	Scientific data Ročník 8; číslo 1; s. 219 - 17
Hlavní autori:	Cohen-Adad, Julien, Alonso-Ortiz, Eva, Abramovic, Mihael, Arneitz, Carina, Atcheson, Nicole, Barlow, Laura, Barry, Robert L., Barth, Markus, Battiston, Marco, Büchel, Christian, Budde, Matthew, Callot, Virginie, Combes, Anna J. E., De Leener, Benjamin, Descoteaux, Maxime, de Sousa, Paulo Loureiro, Dostál, Marek, Doyon, Julien, Dvorak, Adam, Eippert, Falk, Epperson, Karla R., Epperson, Kevin S., Freund, Patrick, Finsterbusch, Jürgen, Foias, Alexandru, Fratini, Michela, Fukunaga, Issei, Gandini Wheeler-Kingshott, Claudia A. M., Germani, Giancarlo, Gilbert, Guillaume, Giove, Federico, Gros, Charley, Grussu, Francesco, Hagiwara, Akifumi, Henry, Pierre-Gilles, Horák, Tomáš, Hori, Masaaki, Joers, James, Kamiya, Kouhei, Karbasforoushan, Haleh, Keřkovský, Miloš, Khatibi, Ali, Kim, Joo-Won, Kinany, Nawal, Kitzler, Hagen H., Kolind, Shannon, Kong, Yazhuo, Kudlička, Petr, Kuntke, Paul, Kurniawan, Nyoman D., Kusmia, Slawomir, Labounek, René, Laganà, Maria Marcella, Laule, Cornelia, Law, Christine S., Lenglet, Christophe, Leutritz, Tobias, Liu, Yaou, Llufriu, Sara, Mackey, Sean, Martinez-Heras, Eloy, Mattera, Loan, Nestrasil, Igor, O’Grady, Kristin P., Papinutto, Nico, Papp, Daniel, Pareto, Deborah, Parrish, Todd B., Pichiecchio, Anna, Prados, Ferran, Rovira, Àlex, Ruitenberg, Marc J., Samson, Rebecca S., Savini, Giovanni, Seif, Maryam, Seifert, Alan C., Smith, Alex K., Smith, Seth A., Smith, Zachary A., Solana, Elisabeth, Suzuki, Y., Tackley, George, Tinnermann, Alexandra, Valošek, Jan, Van De Ville, Dimitri, Yiannakas, Marios C., Weber II, Kenneth A., Weiskopf, Nikolaus, Wise, Richard G., Wyss, Patrik O., Xu, Junqian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 16.08.2021 Nature Publishing Group Nature Portfolio
Predmet:	639/766/930/2735 692/617/375/1824 706/648/697/129 Adult Data Descriptor Datasets Female Humanities and Social Sciences Humans Image Processing, Computer-Assisted Life Sciences Magnetic Resonance Imaging Male multidisciplinary Neuroimaging Neurons and Cognition Reproducibility Reproducibility of Results Science Science (multidisciplinary) Spinal cord Spinal Cord - diagnostic imaging Spinal Cord - ultrastructure Spine Statistical analysis
ISSN:	2052-4463, 2052-4463
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Shrnutí:	In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/ . The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord. Measurement(s) spinal cord Technology Type(s) magnetic resonance imaging Factor Type(s) manufacturer • site Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Canada • Switzerland • Australia • United States of America • United Kingdom • Germany • French Republic • Czech Republic • Italy • Japan • Kingdom of Spain • China Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14052269
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23
ISSN:	2052-4463 2052-4463
DOI:	10.1038/s41597-021-00941-8