MR Imaging in Ataxias: Consensus Recommendations by the Ataxia Global Initiative Working Group on MRI Biomarkers.
MR Imaging in Ataxias: Consensus Recommendations by the Ataxia Global Initiative Working Group on MRI Biomarkers.
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共济失调中的 MR 成像:共济失调全球倡议 MRI 生物标志物工作组的共识建议。
DOI:
10.1007/s12311-023-01572-y
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
AGIWorkingGrouponMRIBiomarkers
中科院分区:
文献类型:
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作者:
Öz,Gülin;Cocozza,Sirio;Henry,Pierre-Gilles;Lenglet,Christophe;Deistung,Andreas;Faber,Jennifer;Schwarz,AdamJ;Timmann,Dagmar;VanDijk,KoeneRA;Harding,IanH;AGIWorkingGrouponMRIBiomarkers
With many viable strategies in the therapeutic pipeline, upcoming clinical trials in hereditary and sporadic degenerative ataxias will benefit from non-invasive MRI biomarkers for patient stratification and the evaluation of therapies. The MRI Biomarkers Working Group of the Ataxia Global Initiative therefore devised guidelines to facilitate harmonized MRI data acquisition in clinical research and trials in ataxias. Recommendations are provided for a basic structural MRI protocol that can be used for clinical care and for an advanced multi-modal MRI protocol relevant for research and trial settings. The advanced protocol consists of modalities with demonstrated utility for tracking brain changes in degenerative ataxias and includes structural MRI, magnetic resonance spectroscopy, diffusion MRI, quantitative susceptibility mapping, and resting-state functional MRI. Acceptable ranges of acquisition parameters are provided to accommodate diverse scanner hardware in research and clinical contexts while maintaining a minimum standard of data quality. Important technical considerations in setting up an advanced multi-modal protocol are outlined, including the order of pulse sequences, and example software packages commonly used for data analysis are provided. Outcome measures most relevant for ataxias are highlighted with use cases from recent ataxia literature. Finally, to facilitate access to the recommendations by the ataxia clinical and research community, examples of datasets collected with the recommended parameters are provided and platform-specific protocols are shared via the Open Science Framework.