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Rationale and design of the brain magnetic resonance imaging protocol for FutureMS: a longitudinal multi-centre study of newly diagnosed patients with relapsing-remitting multiple sclerosis in Scotland.

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Title: Rationale and design of the brain magnetic resonance imaging protocol for FutureMS: a longitudinal multi-centre study of newly diagnosed patients with relapsing-remitting multiple sclerosis in Scotland.
Authors: Meijboom, Rozanna1,2 rozanna.meijboom@ed.ac.uk, Wiseman, Stewart J.1,2, York, Elizabeth N.1,2, Bastin, Mark E.1,2, Valdés Hernández, Maria del C.1,2, Thrippleton, Michael J.1,2, Mollison, Daisy1,2, White, Nicole1,2, Kampaite, Agniete1,2, Koy Ng Kee Kwong1,2, Gonzalez, David Rodriguez1,2, Job, Dominic1,2, Weaver, Christine3, Kearns, Patrick K. A.1,3, Connick, Peter1,3, Chandran, Siddharthan1,3, Waldman, Adam D.1,2 adam.waldman@ed.ac.uk
Source: Wellcome Open Research. 2022, Vol. 7, p1-17. 17p.
Subject Terms: *Biomarkers, Magnetic resonance imaging of the brain, Multiple sclerosis, Disease progression
Geographic Terms: Scotland
Abstract: Introduction: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease. MS prevalence varies geographically and is notably high in Scotland. Disease trajectory varies significantly between individuals and the causes for this are largely unclear. Biomarkers predictive of disease course are urgently needed to allow improved stratification for current disease modifying therapies and future targeted treatments aimed at neuroprotection and remyelination. Magnetic resonance imaging (MRI) can detect disease activity and underlying damage non-invasively in vivo at the micro and macrostructural level. FutureMS is a prospective Scottish longitudinal multi-centre cohort study, which focuses on deeply phenotyping patients with recently diagnosed relapsing-remitting MS (RRMS). Neuroimaging is a central component of the study and provides two main primary endpoints for disease activity and neurodegeneration. This paper provides an overview of MRI data acquisition, management and processing in FutureMS. FutureMS is registered with the Integrated Research Application System (IRAS, UK) under reference number 169955. Methods and analysis: MRI is performed at baseline (N=431) and 1- year follow-up, in Dundee, Glasgow and Edinburgh (3T Siemens) and in Aberdeen (3T Philips), and managed and processed in Edinburgh. The core structural MRI protocol comprises T1-weighted, T2-weighted, FLAIR and proton density images. Primary imaging outcome measures are new/enlarging white matter lesions (WML) and reduction in brain volume over one year. Secondary imaging outcome measures comprise WML volume as an additional quantitative structural MRI measure, rim lesions on susceptibility-weighted imaging, and microstructural MRI measures, including diffusion tensor imaging and neurite orientation dispersion and density imaging metrics, relaxometry, magnetisation transfer (MT) ratio, MT saturation and derived g-ratio measures. Conclusions: FutureMS aims to reduce uncertainty around disease course and allow for targeted treatment in RRMS by exploring the role of conventional and advanced MRI measures as biomarkers of disease severity and progression in a large population of RRMS patients in Scotland. [ABSTRACT FROM AUTHOR]
Copyright of Wellcome Open Research is the property of Wellcome Trust 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: Rationale and design of the brain magnetic resonance imaging protocol for FutureMS: a longitudinal multi-centre study of newly diagnosed patients with relapsing-remitting multiple sclerosis in Scotland.
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  Data: <searchLink fieldCode="AR" term="%22Meijboom%2C+Rozanna%22">Meijboom, Rozanna</searchLink><relatesTo>1,2</relatesTo><i> rozanna.meijboom@ed.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Wiseman%2C+Stewart+J%2E%22">Wiseman, Stewart J.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22York%2C+Elizabeth+N%2E%22">York, Elizabeth N.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bastin%2C+Mark+E%2E%22">Bastin, Mark E.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Valdés+Hernández%2C+Maria+del+C%2E%22">Valdés Hernández, Maria del C.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Thrippleton%2C+Michael+J%2E%22">Thrippleton, Michael J.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mollison%2C+Daisy%22">Mollison, Daisy</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22White%2C+Nicole%22">White, Nicole</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kampaite%2C+Agniete%22">Kampaite, Agniete</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Koy+Ng+Kee+Kwong%22">Koy Ng Kee Kwong</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gonzalez%2C+David+Rodriguez%22">Gonzalez, David Rodriguez</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Job%2C+Dominic%22">Job, Dominic</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Weaver%2C+Christine%22">Weaver, Christine</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kearns%2C+Patrick+K%2E+A%2E%22">Kearns, Patrick K. A.</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Connick%2C+Peter%22">Connick, Peter</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Chandran%2C+Siddharthan%22">Chandran, Siddharthan</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Waldman%2C+Adam+D%2E%22">Waldman, Adam D.</searchLink><relatesTo>1,2</relatesTo><i> adam.waldman@ed.ac.uk</i>
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  Data: Introduction: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease. MS prevalence varies geographically and is notably high in Scotland. Disease trajectory varies significantly between individuals and the causes for this are largely unclear. Biomarkers predictive of disease course are urgently needed to allow improved stratification for current disease modifying therapies and future targeted treatments aimed at neuroprotection and remyelination. Magnetic resonance imaging (MRI) can detect disease activity and underlying damage non-invasively in vivo at the micro and macrostructural level. FutureMS is a prospective Scottish longitudinal multi-centre cohort study, which focuses on deeply phenotyping patients with recently diagnosed relapsing-remitting MS (RRMS). Neuroimaging is a central component of the study and provides two main primary endpoints for disease activity and neurodegeneration. This paper provides an overview of MRI data acquisition, management and processing in FutureMS. FutureMS is registered with the Integrated Research Application System (IRAS, UK) under reference number 169955. Methods and analysis: MRI is performed at baseline (N=431) and 1- year follow-up, in Dundee, Glasgow and Edinburgh (3T Siemens) and in Aberdeen (3T Philips), and managed and processed in Edinburgh. The core structural MRI protocol comprises T1-weighted, T2-weighted, FLAIR and proton density images. Primary imaging outcome measures are new/enlarging white matter lesions (WML) and reduction in brain volume over one year. Secondary imaging outcome measures comprise WML volume as an additional quantitative structural MRI measure, rim lesions on susceptibility-weighted imaging, and microstructural MRI measures, including diffusion tensor imaging and neurite orientation dispersion and density imaging metrics, relaxometry, magnetisation transfer (MT) ratio, MT saturation and derived g-ratio measures. Conclusions: FutureMS aims to reduce uncertainty around disease course and allow for targeted treatment in RRMS by exploring the role of conventional and advanced MRI measures as biomarkers of disease severity and progression in a large population of RRMS patients in Scotland. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Wellcome Open Research is the property of Wellcome Trust 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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        Value: 10.12688/wellcomeopenres.17731.1
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      – SubjectFull: Scotland
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