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Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network

Nigri, Anna; Ferraro, Stefania; Wheeler-Kingshott, Claudia AM Gandini; Tosetti, Michela; Redolfi, Alberto; Forloni, Gianluigi; D'Angelo, Egidio; ... Bruzzone, Maria Grazia; + view all (2022) Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network. Frontiers in Neurology , 13 , Article 855125. 10.3389/fneur.2022.855125. Green open access

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Abstract

Neuroimaging studies often lack reproducibility, one of the cardinal features of the scientific method. Multisite collaboration initiatives increase sample size and limit methodological flexibility, therefore providing the foundation for increased statistical power and generalizable results. However, multisite collaborative initiatives are inherently limited by hardware, software, and pulse and sequence design heterogeneities of both clinical and preclinical MRI scanners and the lack of benchmark for acquisition protocols, data analysis, and data sharing. We present the overarching vision that yielded to the constitution of RIN-Neuroimaging Network, a national consortium dedicated to identifying disease and subject-specific in-vivo neuroimaging biomarkers of diverse neurological and neuropsychiatric conditions. This ambitious goal needs efforts toward increasing the diagnostic and prognostic power of advanced MRI data. To this aim, 23 Italian Scientific Institutes of Hospitalization and Care (IRCCS), with technological and clinical specialization in the neurological and neuroimaging field, have gathered together. Each IRCCS is equipped with high- or ultra-high field MRI scanners (i.e., ≥3T) for clinical or preclinical research or has established expertise in MRI data analysis and infrastructure. The actions of this Network were defined across several work packages (WP). A clinical work package (WP1) defined the guidelines for a minimum standard clinical qualitative MRI assessment for the main neurological diseases. Two neuroimaging technical work packages (WP2 and WP3, for clinical and preclinical scanners) established Standard Operative Procedures for quality controls on phantoms as well as advanced harmonized quantitative MRI protocols for studying the brain of healthy human participants and wild type mice. Under FAIR principles, a web-based e-infrastructure to store and share data across sites was also implemented (WP4). Finally, the RIN translated all these efforts into a large-scale multimodal data collection in patients and animal models with dementia (i.e., case study). The RIN-Neuroimaging Network can maximize the impact of public investments in research and clinical practice acquiring data across institutes and pathologies with high-quality and highly-consistent acquisition protocols, optimizing the analysis pipeline and data sharing procedures.

Type: Article
Title: Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fneur.2022.855125
Publisher version: https://doi.org/10.3389/fneur.2022.855125
Language: English
Additional information: t © 2022 Nigri, Ferraro, Gandini Wheeler-Kingshott, Tosetti, Redolfi, Forloni, D’Angelo, Aquino, Biagi, Bosco, Carne, De Francesco, Demichelis, Gianeri, Lagana, Micotti, Napolitano, Palesi, Pirastru, Savini, Alberici, Amato, Arrigoni, Baglio, Bozzali, Castellano, Cavaliere, Contarino, Ferrazzi, Gaudino, Marino, Manzo, Pavone, Politi, Roccatagliata, Rognone, Rossi, Tonon, Lodi, Tagliavini, Bruzzone and The RIN–Neuroimaging. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, harmonization, multisite, quantitative MRI, QSM, diffusion MRI, fMRI, neuroimaging, BIOMARKER DISCOVERY, REPRODUCIBILITY, PHANTOM, STANDARDS, DISEASES, BURDEN, BRAIN
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery.ucl.ac.uk/id/eprint/10149802
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