2021
DOI: 10.3389/fneur.2021.712565
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Recommendations to Optimize the Use of Volumetric MRI in Huntington's Disease Clinical Trials

Abstract: Volumetric magnetic resonance imaging (vMRI) has been widely studied in Huntington's disease (HD) and is commonly used to assess treatment effects on brain atrophy in interventional trials. Global and regional trajectories of brain atrophy in HD, with early involvement of striatal regions, are becoming increasingly understood. However, there remains heterogeneity in the methods used and a lack of widely-accessible multisite, longitudinal, normative datasets in HD. Consensus for standardized practices for data … Show more

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Cited by 6 publications
(2 citation statements)
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“…Quantitative magnetic resonance imaging (MRI) and spectroscopy (MRS) play important roles as well in imaging of neurological disorders (e.g. [ 18 , 25 27 ]). In DMD, peripheral imaging using MR has been informative to measure muscle damage, inflammation, and fat fraction infiltration [ 28 , 29 ].…”
Section: Biomarkersmentioning
confidence: 99%
“…Quantitative magnetic resonance imaging (MRI) and spectroscopy (MRS) play important roles as well in imaging of neurological disorders (e.g. [ 18 , 25 27 ]). In DMD, peripheral imaging using MR has been informative to measure muscle damage, inflammation, and fat fraction infiltration [ 28 , 29 ].…”
Section: Biomarkersmentioning
confidence: 99%
“…In this study validation of biomarkers is achieved through several different methods, including a multicentre approach, independent imaging analysis performed by IXICO, control of MRI scanner differences, and the relationship of neuroimaging measures to functional and biospecimen measures. This use of a harmonized and multicentre approach aims to deliver a large multi-modal neuroimaging dataset which in the future can be used to assess the variability and generalizability of finding across studies, more robustly inform future clinical trial design and serve to combine with prospectively acquired interventional data enhancing the statistical power of future studies [ 87 , 88 ].…”
Section: Discussionmentioning
confidence: 99%