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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

Noninvasive Functional Imaging of Human Brain Using Light

TL;DR: In this paper, photon transit time for low-power light passing into the head, and through both skull and brain, of human subjects allowed for tomographic imaging of cerebral hemoglobin oxygenation based on photon diffusion theory.
Journal ArticleDOI

Dissociation of cerebral glucose metabolism and level of consciousness during the period of metabolic depression following human traumatic brain injury.

TL;DR: It is concluded that the etiologies of C MRglc reduction are likely multifactorial given the complex nature of traumatic brain injury and that the reduction of CMRglc represents a fundamental pathobiologic state following head injury that is not tightly coupled to level of consciousness.
Journal ArticleDOI

Focal lesions in acute mild traumatic brain injury and neurocognitive outcome: CT versus 3T MRI.

TL;DR: 3T MR detected parenchymal lesions in 75% of this mTBI cohort with loss of consciousness and post-traumatic amnesia, a much higher rate than CT; however, the CT and 3T MR imaging findings did not account for cognitive impairment, suggesting that newer imaging techniques such as diffusion tensor imaging are needed to provide biomarkers for neurocognitive and functional outcome inmTBI.
Book ChapterDOI

Cerebral vasospasm after subarachnoid haemorrhage investigated by means of transcranial Doppler ultrasound.

TL;DR: Clues to the severity of MCA spasm were obtained from the ratio calculated dividing the MCA flow velocity by the flow velocity in the ipsilateral, extracranial internal carotid artery (ICA), since spasm probably does not involve the neck vessels.
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