Background And Purpose: Routine MR imaging findings are frequently normal following mild traumatic brain injury and have a limited role in diagnosis and management. Advanced MR imaging can assist in detecting pathology and prognostication but is not readily available outside research settings. However, 3D isotropic sequences with ∼1-mm voxel size are available on community MR imaging scanners. Using such sequences, we compared radiologists' findings and quantified regional brain volumes between a mild traumatic brain injury cohort and non-brain-injured controls to describe structural imaging findings associated with mild traumatic brain injury.
Materials And Methods: Seventy-one military personnel with persistent symptoms and 75 controls underwent 3T MR imaging. Three neuroradiologists interpreted the scans using common data elements. FreeSurfer was used to quantify regional gray and white matter volumes.
Results: WM hyperintensities were seen in 81% of the brain-injured group versus 60% of healthy controls. The odds of ≥1 WM hyperintensity in the brain-injured group was about 3.5 times the odds for healthy controls (95% CI, 1.58-7.72; = .002) after adjustment for age. A frontal lobe-only distribution of WM hyperintensities was more commonly seen in the mild traumatic brain injury cohort. Furthermore, 7 gray matter, 1 white matter, and 2 subcortical gray matter regions demonstrated decreased volumes in the brain-injured group after multiple-comparison correction. The mild traumatic brain injury cohort showed regional parenchymal volume loss.
Conclusions: White matter findings are nonspecific and therefore a clinical challenge. Our results suggest that prior trauma should be considered in the differential diagnosis of multifocal white matter abnormalities with a clinical history of mild traumatic brain injury, particularly when a frontal predilection is observed.
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http://dx.doi.org/10.3174/ajnr.A6346 | DOI Listing |
J Head Trauma Rehabil
January 2025
Author Affiliations: Department of Physical Medicine and Rehabilitation (Drs Wyrwa, Burke, Forster, and Kinney), Departments of Physical Medicine and Rehabilitation, Psychiatry, and Neurology (Dr Brenner), University of Colorado, Anschutz Medical Campus, Aurora, Colorado; and VA Rocky Mountain Mental Illness Research, Education, and Clinical Center (MIRECC) (Dr Brenner, Mr Yan, Ms Schneider, Mr King, and Drs Forster and Kinney), Aurora, Colorado.
Objective: To examine whether neurobehavioral symptoms mediate the relationship between comorbid mental health conditions (major depressive disorder [MDD] and/or posttraumatic stress disorder [PTSD]) and participation restriction among Veterans with mild traumatic brain injury (mTBI).
Setting: Veterans Health Administration (VHA).
Participants: National sample of Veterans with mTBI who received VHA outpatient care between 2012 and 2020.
J Head Trauma Rehabil
January 2025
Author Affiliations: Boston University School of Public Health, Boston, Massachusetts (Ms Sherman Rosa); Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts (Mr Nadal); and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts (Dr Saadi).
Objective: This study assessed (1) the feasibility and usability of traumatic brain injury (TBI) assessment using the Ohio State University TBI Identification Method (OSU-TBI-ID) in a sample of English and Spanish-speaking refugees and asylum seekers (hereafter refugees), and (2) the prevalence and characteristics of TBI in this population.
Setting And Participants: Refugees seeking care from Massachusetts General Hospital (MGH) Asylum Clinic, the MGH Chelsea HealthCare Center, and other asylum programs in the Greater Boston Area.
Design And Main Measures: Bilingual clinical research coordinators screened 158 English and Spanish-speaking refugees using the OSU-TBI-ID.
J Head Trauma Rehabil
January 2025
Author Affiliations: Program Executive Office, Defense Healthcare Management Systems, Arlington, Virginia (Ms Wal and Dr Caban); National Center for Collaborative Healthcare Innovation (NCCHI), VA Palo Alto Health Care System, Palo Alto, California (Mr Hoover); Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts (Dr Adams); Veterans Health Administration Rocky Mountain Mental Illness Research Education and Clinical Center, Aurora, Colorado (Drs Adams and Forster); Department of Physical Medicine & Rehabilitation, University of Colorado, Anschutz Medical Campus, Aurora, Colorado (Dr Forster); and Uniformed Services University of the Health Sciences, Graduate School of Nursing, Bethesda, Maryland (Dr Engler).
Objective: To investigate the incidence of early/unplanned (E/U) separations following mild traumatic brain injury (mTBI) and assess whether sex impacts the hazard of separation.
Setting: Military Health System (MHS).
Participants: Active duty service members (N = 75,730) with an initial mTBI diagnosis in military records between January 2011 and January 2018.
J Res Med Sci
December 2024
Department of Biostatistics, Student Research Committee, University of Medical Sciences, Kermanshah, Iran.
Background: The initial assessment of trauma is a time-consuming and challenging task. The purpose of this research is to examine the diagnostic effectiveness and usefulness of machine learning models paired with radiomics features to identify blunt traumatic liver injury in abdominal computed tomography (CT) images.
Materials And Methods: In this study, 600 CT scan images of people with mild and severe liver damage due to trauma and healthy people were collected from the Kaggle dataset.
Nat Commun
January 2025
Unit on the Development of Neurodegeneration, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Traumatic brain injury (TBI) is a risk factor for neurodegeneration, however little is known about how this kind of injury alters neuron subtypes. In this study, we follow neuronal populations over time after a single mild TBI (mTBI) to assess long ranging consequences of injury at the level of single, transcriptionally defined neuronal classes. We find that the stress-responsive Activating Transcription Factor 3 (ATF3) defines a population of cortical neurons after mTBI.
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