Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain
Open Access

Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis

R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham, D.S. Reich, W. Rooney, S. Roy, W. Stern, S. Tummala, F. Yousuf, A. Zhu, N.L. Sicotte, R. Bakshi and the NAIMS Cooperative
American Journal of Neuroradiology August 2017, 38 (8) 1501-1509; DOI: https://doi.org/10.3174/ajnr.A5254
R.T. Shinohara
aFrom the Departments of Biostatistics and Epidemiology (R.T.S., K.A.L.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R.T. Shinohara
J. Oh
cDepartment of Neurology (J.O., P.A.C., D.S.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
dSt. Michael's Hospital (J.O.), University of Toronto, Toronto, Ontario, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J. Oh
G. Nair
eTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G. Nair
P.A. Calabresi
cDepartment of Neurology (J.O., P.A.C., D.S.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P.A. Calabresi
C. Davatzikos
bRadiology (C.D., J.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for C. Davatzikos
J. Doshi
bRadiology (C.D., J.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J. Doshi
R.G. Henry
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R.G. Henry
G. Kim
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for G. Kim
K.A. Linn
aFrom the Departments of Biostatistics and Epidemiology (R.T.S., K.A.L.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K.A. Linn
N. Papinutto
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N. Papinutto
D. Pelletier
iDepartment of Neurology (D.P.), Yale Medical School, New Haven, Connecticut
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Pelletier
D.L. Pham
jHenry M. Jackson Foundation for the Advancement of Military Medicine (D.L.P., S.R.), Bethesda, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D.L. Pham
D.S. Reich
cDepartment of Neurology (J.O., P.A.C., D.S.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
eTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D.S. Reich
W. Rooney
kAdvanced Imaging Research Center, Oregon Health & Science University (W.R.), Portland, Oregon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for W. Rooney
S. Roy
jHenry M. Jackson Foundation for the Advancement of Military Medicine (D.L.P., S.R.), Bethesda, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Roy
W. Stern
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for W. Stern
S. Tummala
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Tummala
F. Yousuf
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for F. Yousuf
A. Zhu
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. Zhu
N.L. Sicotte
lDepartment of Neurology (N.L.S.), Cedars-Sinai Medical Center, Los Angeles, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N.L. Sicotte
R. Bakshi
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
hDepartments of Neurology and Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Bakshi
ma complete list of the NAIMS participants is provided in the “Acknowledgments.”
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: MR imaging can be used to measure structural changes in the brains of individuals with multiple sclerosis and is essential for diagnosis, longitudinal monitoring, and therapy evaluation. The North American Imaging in Multiple Sclerosis Cooperative steering committee developed a uniform high-resolution 3T MR imaging protocol relevant to the quantification of cerebral lesions and atrophy and implemented it at 7 sites across the United States. To assess intersite variability in scan data, we imaged a volunteer with relapsing-remitting MS with a scan-rescan at each site.

MATERIALS AND METHODS: All imaging was acquired on Siemens scanners (4 Skyra, 2 Tim Trio, and 1 Verio). Expert segmentations were manually obtained for T1-hypointense and T2 (FLAIR) hyperintense lesions. Several automated lesion-detection and whole-brain, cortical, and deep gray matter volumetric pipelines were applied. Statistical analyses were conducted to assess variability across sites, as well as systematic biases in the volumetric measurements that were site-related.

RESULTS: Systematic biases due to site differences in expert-traced lesion measurements were significant (P < .01 for both T1 and T2 lesion volumes), with site explaining >90% of the variation (range, 13.0–16.4 mL in T1 and 15.9–20.1 mL in T2) in lesion volumes. Site also explained >80% of the variation in most automated volumetric measurements. Output measures clustered according to scanner models, with similar results from the Skyra versus the other 2 units.

CONCLUSIONS: Even in multicenter studies with consistent scanner field strength and manufacturer after protocol harmonization, systematic differences can lead to severe biases in volumetric analyses.

ABBREVIATIONS:

NAIMS
North American Imaging in Multiple Sclerosis Cooperative
T1LV
T1-hypointense lesion volume
T2LV
T2 lesion volume
  • © 2017 by American Journal of Neuroradiology

Indicates open access to non-subscribers at www.ajnr.org

View Full Text
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 38 (8)
American Journal of Neuroradiology
Vol. 38, Issue 8
1 Aug 2017
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham, D.S. Reich, W. Rooney, S. Roy, W. Stern, S. Tummala, F. Yousuf, A. Zhu, N.L. Sicotte, R. Bakshi, the NAIMS Cooperative
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis
American Journal of Neuroradiology Aug 2017, 38 (8) 1501-1509; DOI: 10.3174/ajnr.A5254

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis
R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham, D.S. Reich, W. Rooney, S. Roy, W. Stern, S. Tummala, F. Yousuf, A. Zhu, N.L. Sicotte, R. Bakshi, the NAIMS Cooperative
American Journal of Neuroradiology Aug 2017, 38 (8) 1501-1509; DOI: 10.3174/ajnr.A5254
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Short-term changes in objectively measured activity predict brain atrophy and disability progression in multiple sclerosis
  • A preliminary attempt to harmonize using physics-constrained deep neural networks for multisite and multiscanner MRI datasets (PhyCHarm)
  • Brain Charts for People Living with Multiple Sclerosis
  • MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data
  • Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study
  • Inter-scanner brain MRI volumetric biases persist even in a harmonized multi-subject study of multiple sclerosis
  • Privacy-preserving harmonization via distributed ComBat
  • Automatic quantification of brain lesion volume from post-trauma MR Images
  • On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations
  • Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets
  • Longitudinal ComBat: A Method for Harmonizing Longitudinal Multi-scanner Imaging Data
  • Voxel-Based Morphometry--from Hype to Hope. A Study on Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy
  • Harmonization of large multi-site imaging datasets: Application to 10,232 MRIs for the analysis of imaging patterns of structural brain change throughout the lifespan
  • The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocols
  • Intensity warping for multisite MRI harmonization
  • BOLD signal variability and complexity in children and adolescents with and without autism spectrum disorder
  • An automated statistical technique for counting distinct multiple sclerosis lesions can recover aspects of lesion history and provide relevant disease information
  • Imaging outcome measures of neuroprotection and repair in MS: A consensus statement from NAIMS
  • An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Segmentation of Brain Metastases with BLAST
  • Cerebral ADC Changes in Fabry Disease
Show more Adult Brain

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire