High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability

Author:

Edde Manon12ORCID,Theaud Guillaume2,Dumont Matthieu2,Théberge Antoine13,Valcourt‐Caron Alex1,Gilbert Guillaume4,Houde Jean‐Christophe2,Maltais Loika2,Rheault François5ORCID,Spagnolo Federico6,Barakovic Muhamed6,Magon Stefano6,Descoteaux Maxime12

Affiliation:

1. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC Canada

2. Imeka Solutions, Inc. Sherbrooke QC Canada

3. Videos & Images Theory and Analytics Laboratory (VITAL) Université de Sherbrooke Sherbrooke QC Canada

4. MR Clinical Science Philips Healthcare Canada Mississauga Ontario Canada

5. Medical Imaging and Neuroinformatic (MINi) Lab Université de Sherbrooke Sherbrooke QC Canada

6. Pharma Research and Early Development, Neuroscience and Rare Diseases Roche Innovation Center Basel F. Hoffmann‐La Roche Ltd. Basel Switzerland

Abstract

AbstractAssessing the consistency of quantitative MRI measurements is critical for inclusion in longitudinal studies and clinical trials. Intraclass coefficient correlation and coefficient of variation were used to evaluate the different consistency aspects of diffusion‐ and myelin‐based MRI measures. Multi‐shell diffusion and inhomogeneous magnetization transfer data sets were collected from 20 healthy adults at a high‐frequency of five MRI sessions. The consistency was evaluated across whole bundles and the track‐profile along the bundles. The impact of the fiber populations on the consistency was also evaluated using the number of fiber orientations map. For whole and profile bundles, moderate to high reliability of diffusion and myelin measures were observed. We report higher reliability of measures for multiple fiber populations than single. The overall portrait of the most consistent measurements and bundles drawn from a wide range of MRI techniques presented here will be particularly useful for identifying reliable biomarkers capable of detecting, monitoring and predicting white matter changes in clinical applications and has the potential to inform patient‐specific treatment strategies.

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

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