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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

Tight glycemic control increases metabolic distress in traumatic brain injury: a randomized controlled within-subjects trial.

TL;DR: Tight glycemic control results in increased global glucose uptake and an increased cerebral metabolic crisis after traumatic brain injury, but delivery of more glucose through mild hyperglycemia may be necessary aftertraumatic brain injury.
Journal Article

Correlation of regional metabolic rates of glucose with glasgow coma scale after traumatic brain injury.

TL;DR: A PET investigation using (18)F FDG demonstrated a significant difference in glucose metabolism in the thalamus, brain stem, and cerebellum between comatose and noncomatose patients acutely after TBI.
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Mild traumatic brain injury and neural recovery: rethinking the debate.

Ronald M. Ruff
- 01 Jan 2011 - 
TL;DR: This debate is examined by reviewing meta-analytic studies that found no significant effect sizes between large samples of patients with and without MTBI at three months post-accident, which supports the viewpoint that brain-based postconcussive disorders likely exist in a small minority of individuals.
Journal ArticleDOI

Vasospasm probability index: a combination of transcranial Doppler velocities, cerebral blood flow, and clinical risk factors to predict cerebral vasospasm after aneurysmal subarachnoid hemorrhage

TL;DR: The combination of predictive factors associated with the development of vasospasm in the new index reported here has a significantly superior accuracy compared with the independent tests and may become a valuable tool for the clinician to evaluate the individual probability of cerebral vasospasms after aneurysmal SAH.
Journal ArticleDOI

Traumatic subarachnoid hemorrhage on the computerized tomography scan obtained at admission: a multicenter assessment of the accuracy of diagnosis and the potential impact on patient outcome

TL;DR: Logistic regression analysis showed that the presence of tSAH and its grading alone do not assume statistical significance in the prediction of unfavorable outcome, and that traumatic SAH is associated with more severe CT findings and a worse patient outcome.
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