Inter-scanner brain MRI volumetric biases persist even in a harmonized multi-subject study of multiple sclerosis
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Le résumé fourni par la source
Abstract Background/Purpose Multicenter study designs involving a variety of MRI scanners have become increasingly common. However, these present the issue of biases in image-based measures due to scanner or site differences. To assess these biases, we imaged 11 volunteers with multiple sclerosis (MS) with scan and rescan data at 4 sites. Materials and Methods Images were acquired on Siemens or Philips scanners at 3-tesla. Automated white matter lesion detection and whole brain, gray and white matter, and thalamic volumetry were performed, as well as expert manual delineations of T1 and T2 (FLAIR) lesions. Random effect and permutation-based nonparametric modeling was performed to assess differences in estimated volumes within and across sites. Results Random effect modeling demonstrated model assumption violations for most comparisons of interest. Non-parametric modeling indicated that site explained > 50% of the variation for most estimated volumes. This expanded to > 75% when data from both Siemens and Philips scanners were included. Permutation tests revealed significant differences between average inter- and intra-scanner differences in most estimated brain volumes ( P < .05). The automatic activation of spine coil elements during some acquisitions resulted in a shading artifact in these images. Permutation tests revealed significant differences between thalamic volume measurements from acquisitions with and without this artifact. Conclusion Differences in brain volumetry persisted across MR scanners despite protocol harmonization. These differences were not well explained by variance component modeling; however, statistical innovations for mitigating inter-scanner differences show promise in reducing biases in multi-center studies of MS.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Inter-scanner brain MRI volumetric biases persist even in a harmonized multi-subject study of multiple sclerosis
- Date Crossref
- 05/05/2022
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Pennsylvania Department of Biostatistics pays non établi dans la noticeUniversité ou école supérieure
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Brigham and Women's Hospital Department of Neurology pays non établi dans la noticeÉtablissement de santé
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Harvard University pays non établi dans la noticeUniversité ou école supérieure
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Johns Hopkins University Department of Neurology pays non établi dans la noticeUniversité ou école supérieure
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Johns Hopkins Medicine pays non établi dans la noticeÉtablissement de santé
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National Institutes of Health pays non établi dans la noticeOrganisme public
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National Institute of Neurological Disorders and Stroke Quantitative MRI core facility pays non établi dans la noticeStructure de recherche
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Cedars-Sinai Medical Center Department of Neurology pays non établi dans la noticeÉtablissement de santé
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Perelman School of Medicine Center for Neuroinflammation and Neurotherapeutics pays non établi dans la noticeUniversité ou école supérieure
Department of Biostatistics — University of Pennsylvania, Department of Neurology — Brigham and Women's Hospital et Harvard University, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.