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Research ArticleResearch Perspectives

Traumatic Brain Injury Imaging Research Roadmap

M. Wintermark, L. Coombs, T.J. Druzgal, A.S. Field, C.G. Filippi, R. Hicks, R. Horton, Y.W. Lui, M. Law, P. Mukherjee, A. Norbash, G. Riedy, P.C. Sanelli, J.R. Stone, G. Sze, M. Tilkin, C.T. Whitlow, E.A. Wilde, G. York and J.M. Provenzale on behalf of the American College of Radiology Head Injury Institute
American Journal of Neuroradiology March 2015, 36 (3) E12-E23; DOI: https://doi.org/10.3174/ajnr.A4254
M. Wintermark
aFrom the Neuroradiology Division (M.W.), Department of Radiology, Stanford University, Stanford, California
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L. Coombs
bAmerican College of Radiology (L.C., M.T., R. Horton), Reston, Virginia
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T.J. Druzgal
cDepartments of Radiology (T.J.D., J.R.S.)
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A.S. Field
eNeuroradiology Section (A.S.F.), Department of Radiology, University of Wisconsin, Madison, Wisconsin
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C.G. Filippi
fDepartment of Radiology (C.G.F.), Columbia University, New York, New York
gDepartment of Radiology (C.G.F., P.C.S.), North Shore–Long Island Jewish Health System, Manhasset, New York
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R. Hicks
hOne Mind (R. Hicks), Seattle, Washington
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R. Horton
bAmerican College of Radiology (L.C., M.T., R. Horton), Reston, Virginia
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Y.W. Lui
iNeuroradiology Division (Y.W.L.), Department of Radiology, NYU School of Medicine, New York, New York
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M. Law
jNeuroradiology Section (M.L.), Department of Radiology, University of Southern California, Los Angeles, California
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P. Mukherjee
kNeuroradiology Section (P.M.), Department of Radiology, University of California, San Francisco, San Francisco, California
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A. Norbash
lDepartment of Radiology (A.N.), Boston University School of Medicine, Boston, Massachusetts
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G. Riedy
mNational Intrepid Center of Excellence (G.R.), Washington, DC
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P.C. Sanelli
gDepartment of Radiology (C.G.F., P.C.S.), North Shore–Long Island Jewish Health System, Manhasset, New York
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J.R. Stone
cDepartments of Radiology (T.J.D., J.R.S.)
dMedical Imaging and Neurological Surgery (J.R.S.), University of Virginia, Charlottesville, Virginia
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G. Sze
nNeuroradiology Section (G.S.), Department of Radiology, Yale University, New Haven, Connecticut
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M. Tilkin
bAmerican College of Radiology (L.C., M.T., R. Horton), Reston, Virginia
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C.T. Whitlow
oDepartment of Radiology–Neuroradiology and Translational Science Institute (C.T.W.), Wake Forest School of Medicine, Winston-Salem, North Carolina
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E.A. Wilde
pDepartments of Physical Medicine and Rehabilitation, Neurology, and Radiology (E.A.W.), Baylor College of Medicine, Houston, Texas
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G. York
qSan Antonio Military Medical Center (G.Y.), San Antonio, Texas
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J.M. Provenzale
rDepartment of Radiology (J.M.P.), Duke University Medical Center, Durham, North Carolina.
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Abstract

SUMMARY: The past decade has seen impressive advances in the types of neuroimaging information that can be acquired in patients with traumatic brain injury. However, despite this increase in information, understanding of the contribution of this information to prognostic accuracy and treatment pathways for patients is limited. Available techniques often allow us to infer the presence of microscopic changes indicative of alterations in physiology and function in brain tissue. However, because histologic confirmation is typically lacking, conclusions reached by using these techniques remain solely inferential in almost all cases. Hence, a need exists for validation of these techniques by using data from large population samples that are obtained in a uniform manner, analyzed according to well-accepted procedures, and correlated with closely monitored clinical outcomes. At present, many of these approaches remain confined to population-based research rather than diagnosis at an individual level, particularly with regard to traumatic brain injury that is mild or moderate in degree. A need and a priority exist for patient-centered tools that will allow advanced neuroimaging tools to be brought into clinical settings. One barrier to developing these tools is a lack of an age-, sex-, and comorbidities-stratified, sequence-specific, reference imaging data base that could provide a clear understanding of normal variations across populations. Such a data base would provide researchers and clinicians with the information necessary to develop computational tools for the patient-based interpretation of advanced neuroimaging studies in the clinical setting.

The recent “Joint ASNR-ACR HII-ASFNR TBI Workshop: Bringing Advanced Neuroimaging for Traumatic Brain Injury into the Clinic” on May 23, 2014, in Montreal, Quebec, Canada, brought together neuroradiologists, neurologists, psychiatrists, neuropsychologists, neuroimaging scientists, members of the National Institute of Neurologic Disorders and Stroke, industry representatives, and other traumatic brain injury stakeholders to attempt to reach consensus on issues related to and develop consensus recommendations in terms of creating both a well-characterized normative data base of comprehensive imaging and ancillary data to serve as a reference for tools that will allow interpretation of advanced neuroimaging tests at an individual level of a patient with traumatic brain injury. The workshop involved discussions concerning the following: 1) designation of the policies and infrastructure needed for a normative data base, 2) principles for characterizing normal control subjects, and 3) standardizing research neuroimaging protocols for traumatic brain injury. The present article summarizes these recommendations and examines practical steps to achieve them.

ABBREVIATIONS:

ABIDE
Autism Brain Imaging Data Exchange
ACR
American College of Radiology
ADNI
Alzheimer Disease Neuroimaging Initiative
AFSNR
American Society of Functional Neuroradiology
ASNR
American Society of Neuroradiology
CDE
Common Data Element
DART
Data Archive and Research Toolkit
DKI
diffusional kurtosis imaging
FITBIR
Federal Interagency TBI Research
LONI
Laboratory of Neuroimaging
LORIS
Longitudinal On-line Research and Imaging System
NIH
National Institutes of Health
NITRC
Neuroinformatics Tools and Resources
TBI
traumatic brain injury
TRIAD
Translational Research Informatics and Data Management Grid
  • © 2015 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 36 (3)
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Cite this article
M. Wintermark, L. Coombs, T.J. Druzgal, A.S. Field, C.G. Filippi, R. Hicks, R. Horton, Y.W. Lui, M. Law, P. Mukherjee, A. Norbash, G. Riedy, P.C. Sanelli, J.R. Stone, G. Sze, M. Tilkin, C.T. Whitlow, E.A. Wilde, G. York, J.M. Provenzale
Traumatic Brain Injury Imaging Research Roadmap
American Journal of Neuroradiology Mar 2015, 36 (3) E12-E23; DOI: 10.3174/ajnr.A4254

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Traumatic Brain Injury Imaging Research Roadmap
M. Wintermark, L. Coombs, T.J. Druzgal, A.S. Field, C.G. Filippi, R. Hicks, R. Horton, Y.W. Lui, M. Law, P. Mukherjee, A. Norbash, G. Riedy, P.C. Sanelli, J.R. Stone, G. Sze, M. Tilkin, C.T. Whitlow, E.A. Wilde, G. York, J.M. Provenzale
American Journal of Neuroradiology Mar 2015, 36 (3) E12-E23; DOI: 10.3174/ajnr.A4254
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