Evidence map›Paper›PMID 39445084›Full record

ReviewBrain communications2024

The use of 7T MRI in multiple sclerosis: review and consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.

Daniel M Harrison, Pascal Sati, Eric C Klawiter, Sridar Narayanan, Francesca Bagnato, Erin S Beck, Peter Barker, Alberto Calvi, Alessandro Cagol, Maxime Donadieu and 15 more

Erratum issuedAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Daniel M HarrisonDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID https://orcid.org/0000-0001-8707-2004
Pascal SatiNeuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID https://orcid.org/0000-0002-6763-0125
Eric C KlawiterDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0002-3429-2633
Sridar NarayananMcConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Montreal, QC, Canada, H3A 2B4.ORCID https://orcid.org/0000-0002-6283-150X
Francesca BagnatoNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA.ORCID https://orcid.org/0000-0001-9544-9019
Erin S BeckDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID https://orcid.org/0000-0001-7839-7958
Peter BarkerRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID https://orcid.org/0000-0002-6410-7793
Alberto CalviLaboratory of Advanced Imaging in Neuroimmunological Diseases, Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Hospital Clinic Barcelona, 08036 Barcelona, Spain.
Alessandro CagolTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4001 Basel, Switzerland.ORCID https://orcid.org/0000-0002-7703-0553
Maxime DonadieuTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Jeff DuynAdvanced MRI Section, National Institutes of Health, Bethesda, MD 20892, USA.ORCID https://orcid.org/0000-0001-9033-0326
Cristina GranzieraTranslational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4001 Basel, Switzerland.ORCID https://orcid.org/0000-0002-4917-8761
Roland G HenryDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0002-8232-7562
Susie Y HuangDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02114, USA.ORCID https://orcid.org/0000-0003-2950-7254
Michael N HoffDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0002-3498-0591
Caterina MaineroDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02114, USA.ORCID https://orcid.org/0000-0003-3244-8507
Daniel OntanedaMellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA.ORCID https://orcid.org/0000-0002-2838-9148
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.ORCID https://orcid.org/0000-0002-2628-4334
David A RudkoMcConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Montreal, QC, Canada, H3A 2B4.ORCID https://orcid.org/0000-0002-1299-954X
Seth A SmithVanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN 37212, USA.ORCID https://orcid.org/0000-0002-4168-562X
Siegfried TrattnigDepartment of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Jonathan ZurawskiDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Rohit BakshiDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0001-8601-5534
Susan GauthierDepartment of Neurology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-4015-1781
Cornelia LauleRadiology, Pathology and Laboratory Medicine, Physics and Astronomy, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada, BC V6T 1Z4.ORCID https://orcid.org/0000-0002-9785-6918

Funding

CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
In vivo assessment of meningeal inflammation and its clinical impact in multiple sclerosis by 7 Tesla MRIR01NS104403 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRISON, DANIEL M · 2018 to 2022
$3.1M
Toward a Validated in Vivo Imaging Marker of Axonal Damage Predictive of Progressive Disability in Multiple SclerosisR01NS118187 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, SUSIE YI · 2021 to 2025
$2.8M
Pooled analysis of multiple sclerosis findings on multi-site 7 Tesla MRIR01NS122980 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRISON, DANIEL M · 2021 to 2025
$2.4M
Identifying mechanisms of tissue injury in MS lesions: a multi-modality imaging approachR01NS104283 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAUTHIER, SUSAN A · 2018 to 2022
$2.2M
Evaluating Advanced Diffusion of the Human Spinal Cord: Application to MSR01NS117816 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2021 to 2025
$1.8M
Structural and Functional MRI of the Cervical Spinal Cord in Multiple SclerosisR01NS109114 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2018 to 2022
$1.7M
In Vivo Imaging of Cortical Glial Activation Using Advanced Diffusion Magnetic Resonance ImagingR21NS123419 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MAINERO, CATERINA · 2021 to 2021
$480k
Longitudinal Measurement of Neurodegeneration in two Murine Models of Multiple Sclerosis: A Clinical and Histopathologic Validation StudyR21NS116434 · NINDS · DARTMOUTH-HITCHCOCK CLINIC · PI BAGNATO, FRANCESCA ROSARIA, GILLI, FRANCESCA · 2021 to 2022
$431k
CSRD VA I01 CX002160NIBIB NIH HHS P41 EB030006NIBIB NIH HHS U01 EB026996NINDS NIH HHS R01 NS104283NINDS NIH HHS R01 NS104403NINDS NIH HHS R01 NS109114NINDS NIH HHS R01 NS117816NINDS NIH HHS R01 NS118187NINDS NIH HHS R01 NS122980NINDS NIH HHS R21 NS116434NINDS NIH HHS R21 NS123419
6 · The paper itself

Abstract

The use of ultra-high-field 7-Tesla (7T) MRI in multiple sclerosis (MS) research has grown significantly over the past two decades. With recent regulatory approvals of 7T scanners for clinical use in 2017 and 2020, the use of this technology for routine care is poised to continue to increase in the coming years. In this context, the North American Imaging in MS Cooperative (NAIMS) convened a workshop in February 2023 to review the previous and current use of 7T technology for MS research and potential future research and clinical applications. In this workshop, experts were tasked with reviewing the current literature and proposing a series of consensus statements, which were reviewed and approved by the NAIMS. In this review and consensus paper, we provide background on the use of 7T MRI in MS research, highlighting this technology's promise for identification and quantification of aspects of MS pathology that are more difficult to visualize with lower-field MRI, such as grey matter lesions, paramagnetic rim lesions, leptomeningeal enhancement and the central vein sign. We also review the promise of 7T MRI to study metabolic and functional changes to the brain in MS. The NAIMS provides a series of consensus statements regarding what is currently known about the use of 7T MRI in MS, and additional statements intended to provide guidance as to what work is necessary going forward to accelerate 7T MRI research in MS and translate this technology for use in clinical practice and clinical trials. This includes guidance on technical development, proposals for a universal acquisition protocol and suggestions for research geared towards assessing the utility of 7T MRI to improve MS diagnostics, prognostics and therapeutic efficacy monitoring. The NAIMS expects that this article will provide a roadmap for future use of 7T MRI in MS.

Indexed as

7 Teslamagnetic resonance imagingmultiple sclerosisultra-high field

Identifiers

PMID39445084
PMCPMC11497623

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.