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Open AccessJournal ArticleDOI

A Review of the Effectiveness of Neuroimaging Modalities for the Detection of Traumatic Brain Injury

TLDR
Although CT, MRI, and TCD were determined to be the most useful modalities in the clinical setting, no single imaging modality proved sufficient for all patients due to the heterogeneity of TBI; all imaging modalities reviewed demonstrated the potential to emerge as part of future clinical care.
Abstract
The incidence of traumatic brain injury (TBI) in the United States was 3.5 million cases in 2009, according to the Centers for Disease Control and Prevention. It is a contributing factor in 30.5% of injury-related deaths among civilians. Additionally, since 2000, more than 260,000 service members were diagnosed with TBI, with the vast majority classified as mild or concussive (76%). The objective assessment of TBI via imaging is a critical research gap, both in the military and civilian communities. In 2011, the Department of Defense (DoD) prepared a congressional report summarizing the effectiveness of seven neuroimaging modalities (computed tomography [CT], magnetic resonance imaging [MRI], transcranial Doppler [TCD], positron emission tomography, single photon emission computed tomography, electrophysiologic techniques [magnetoencephalography and electroencephalography], and functional near-infrared spectroscopy) to assess the spectrum of TBI from concussion to coma. For this report, neuroimag...

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Citations
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Journal ArticleDOI

Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

Andrew I R Maas, +342 more
- 01 Dec 2017 - 
TL;DR: The InTBIR Participants and Investigators have provided informed consent for the study to take place in Poland.
Journal ArticleDOI

A Review on a Deep Learning Perspective in Brain Cancer Classification

TL;DR: The relationship between brain cancer and other brain disorders like stroke, Alzheimer's, Parkinson's, and Wilson’s disease, leukoriaosis, and other neurological disorders are highlighted in the context of machine learning and the deep learning paradigm.
Journal ArticleDOI

Severe traumatic brain injury: targeted management in the intensive care unit

TL;DR: Progress in monitoring and in understanding pathophysiological mechanisms of TBI could change current management in the intensive care unit, enabling targeted interventions that could ultimately improve outcomes.
Journal ArticleDOI

Glial fibrillary acidic protein elevations relate to neuroimaging abnormalities after mild TBI.

TL;DR: GFAP is confirmed as a promising marker of brain injury in patients with acute mTBI, and a combination of various biomarkers linked to different pathophysiologic mechanisms increases diagnostic subgroup accuracy.
References
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Journal ArticleDOI

Diffusion tensor imaging of acute mild traumatic brain injury in adolescents.

TL;DR: In adolescents with mild traumatic brain injury (MTBI) with Glasgow Coma Scale score of 15 and negative CT, diffusion tensor imaging (DTI) performed within 6 days postinjury showed increased fractional anisotropy and decreased diffusivity suggestive of cytotoxic edema.
Journal ArticleDOI

Brain activation during working memory 1 month after mild traumatic brain injury A functional MRI study

TL;DR: MTBI patients differed from control subjects in activation pattern of working memory circuitry in response to different processing loads, despite similar task performance, which suggests that injury-related changes in ability to activate or to modulate working memory processing resources may underlie some of the memory complaints after MTBI.
Journal ArticleDOI

Diffusion tensor imaging detects clinically important axonal damage after mild traumatic brain injury: a pilot study.

TL;DR: DTI detected significantly lower trace and elevated FA values in mild TBI subjects compared to controls, which are believed to represent axonal swelling, an early step in the process of axonal injury.
Journal ArticleDOI

Simultaneous recording of cerebral blood oxygenation changes during human brain activation by magnetic resonance imaging and near-infrared spectroscopy

TL;DR: Results underline the hitherto assumed signal physiology for functional brain mapping by oxygenation-sensitive MRI and allow assessment of both constraints and practicability of functional studies by NIRS.
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