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Repeat it without me: Crowdsourcing the T1 mapping common ground via the ISMRM reproducibility challenge.

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Title: Repeat it without me: Crowdsourcing the T1 mapping common ground via the ISMRM reproducibility challenge.
Authors: Boudreau, Mathieu1,2 (AUTHOR), Karakuzu, Agah1 (AUTHOR), Cohen‐Adad, Julien1,2,3,4,5 (AUTHOR), Bozkurt, Ecem6 (AUTHOR), Carr, Madeline7,8 (AUTHOR), Castellaro, Marco9 (AUTHOR), Concha, Luis10 (AUTHOR), Doneva, Mariya11 (AUTHOR), Dual, Seraina A.12 (AUTHOR), Ensworth, Alex13,14 (AUTHOR), Foias, Alexandru1 (AUTHOR), Fortier, Véronique15,16 (AUTHOR), Gabr, Refaat E.17 (AUTHOR), Gilbert, Guillaume18 (AUTHOR), Glide‐Hurst, Carri K.19 (AUTHOR), Grech‐Sollars, Matthew20,21 (AUTHOR), Hu, Siyuan22 (AUTHOR), Jalnefjord, Oscar23,24 (AUTHOR), Jovicich, Jorge25 (AUTHOR), Keskin, Kübra6 (AUTHOR)
Source: Magnetic Resonance in Medicine. Sep2024, Vol. 92 Issue 3, p1115-1127. 13p.
Subjects: National Institute of Standards & Technology (U.S.), Crowdsourcing, Reproducible research, Research personnel, Data mapping, Research teams
Abstract: Purpose: T1 mapping is a widely used quantitative MRI technique, but its tissue‐specific values remain inconsistent across protocols, sites, and vendors. The ISMRM Reproducible Research and Quantitative MR study groups jointly launched a challenge to assess the reproducibility of a well‐established inversion‐recovery T1 mapping technique, using acquisition details from a seminal T1 mapping paper on a standardized phantom and in human brains. Methods: The challenge used the acquisition protocol from Barral et al. (2010). Researchers collected T1 mapping data on the ISMRM/NIST phantom and/or in human brains. Data submission, pipeline development, and analysis were conducted using open‐source platforms. Intersubmission and intrasubmission comparisons were performed. Results: Eighteen submissions (39 phantom and 56 human datasets) on scanners by three MRI vendors were collected at 3 T (except one, at 0.35 T). The mean coefficient of variation was 6.1% for intersubmission phantom measurements, and 2.9% for intrasubmission measurements. For humans, the intersubmission/intrasubmission coefficient of variation was 5.9/3.2% in the genu and 16/6.9% in the cortex. An interactive dashboard for data visualization was also developed: https://rrsg2020.dashboards.neurolibre.org. Conclusion: The T1 intersubmission variability was twice as high as the intrasubmission variability in both phantoms and human brains, indicating that the acquisition details in the original paper were insufficient to reproduce a quantitative MRI protocol. This study reports the inherent uncertainty in T1 measures across independent research groups, bringing us one step closer to a practical clinical baseline of T1 variations in vivo. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Repeat it without me: Crowdsourcing the T<subscript>1</subscript> mapping common ground via the ISMRM reproducibility challenge.
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Sep2024, Vol. 92 Issue 3, p1115-1127. 13p.
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  Data: Purpose: T1 mapping is a widely used quantitative MRI technique, but its tissue‐specific values remain inconsistent across protocols, sites, and vendors. The ISMRM Reproducible Research and Quantitative MR study groups jointly launched a challenge to assess the reproducibility of a well‐established inversion‐recovery T1 mapping technique, using acquisition details from a seminal T1 mapping paper on a standardized phantom and in human brains. Methods: The challenge used the acquisition protocol from Barral et al. (2010). Researchers collected T1 mapping data on the ISMRM/NIST phantom and/or in human brains. Data submission, pipeline development, and analysis were conducted using open‐source platforms. Intersubmission and intrasubmission comparisons were performed. Results: Eighteen submissions (39 phantom and 56 human datasets) on scanners by three MRI vendors were collected at 3 T (except one, at 0.35 T). The mean coefficient of variation was 6.1% for intersubmission phantom measurements, and 2.9% for intrasubmission measurements. For humans, the intersubmission/intrasubmission coefficient of variation was 5.9/3.2% in the genu and 16/6.9% in the cortex. An interactive dashboard for data visualization was also developed: https://rrsg2020.dashboards.neurolibre.org. Conclusion: The T1 intersubmission variability was twice as high as the intrasubmission variability in both phantoms and human brains, indicating that the acquisition details in the original paper were insufficient to reproduce a quantitative MRI protocol. This study reports the inherent uncertainty in T1 measures across independent research groups, bringing us one step closer to a practical clinical baseline of T1 variations in vivo. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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