Mathieu Boudreau, Agah Karakuzu, Arnaud Boré, Basile Pinsard, Kiril Zelenkovski, Eva Alonso Ortiz, Julie Boyle, Lune Bellec and Julien Cohen-Adad
Article (2024)
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Download (38MB) |
Abstract
Quantitative MRI (qMRI) promises better specificity, accuracy, repeatability, and reproducibility relative to its clinically-used qualitative MRI counterpart. Longitudinal reproducibility is particularly important in qMRI. The goal is to reliably quantify tissue properties that may be assessed in longitudinal clinical studies throughout disease progression or during treatment. In this work, we present the initial data release of the quantitative MRI portion of the Courtois project on neural modelling (CNeuroMod), where the brain and cervical spinal cord of six participants were scanned at regular intervals over the course of several years. This first release includes 3 years of data collection and up to 10 sessions per participant using quantitative MRI imaging protocols (T1, magnetization transfer (MTR, MTsat), and diffusion). In the brain, T1MP2RAGE, fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) all exhibited high longitudinal reproducibility (intraclass correlation coefficient – ICC ≃ 1 and within-subject coefficient of variations – wCV < 1%). The spinal cord cross-sectional area (CSA) computed using T2w images and T1MTsat exhibited the best longitudinal reproducibility (ICC ≃ 1 and 0.7 respectively, and wCV 2.4% and 6.9%). Results from this work show the level of longitudinal reproducibility that can be expected from qMRI protocols in the brain and spinal cord in the absence of hardware and software upgrades, and could help in the design of future longitudinal clinical studies.
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| Department: | Department of Electrical Engineering |
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| Research Center: | NeuroPoly - Laboratoire de Recherche en Neuroimagerie |
| Funders: | Courtois foundation, Canada Research Chair in Quantitative Magnetic Resonance Imaging, Canadian Institute of Health Research, Canada Foundation for Innovation, Fonds de Recherche du Québec – Santé, NSERC / GRSNG, Canada First Research Excellence Fund (IVADO and TransMedTech), Mila – Tech Transfer Funding Program |
| Grant number: | 950-230815, CIHR FDN-143263, 32454, 34824, 322736, RGPIN-2019-07244 |
| PolyPublie URL: | https://publications.polymtl.ca/61072/ |
| Journal Title: | Imaging Neuroscience (vol. 3) |
| Publisher: | The MIT Press |
| DOI: | 10.1162/imag_a_00409 |
| Official URL: | https://doi.org/10.1162/imag_a_00409 |
| Date Deposited: | 12 Dec 2024 10:31 |
| Last Modified: | 21 Mar 2026 17:20 |
| Cite in APA 7: | Boudreau, M., Karakuzu, A., Boré, A., Pinsard, B., Zelenkovski, K., Alonso Ortiz, E., Boyle, J., Bellec, L., & Cohen-Adad, J. (2024). Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers. Imaging Neuroscience, 3, 18 pages. https://doi.org/10.1162/imag_a_00409 |
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