Management of moderate to severe traumatic brain injury: an update for the intensivist

G Meyfroidt, P Bouzat, MP Casaer, R Chesnut… - Intensive Care …, 2022 - Springer
Traumatic brain injury (TBI) remains one of the most fatal and debilitating conditions in the
world. Current clinical management in severe TBI patients is mainly concerned with …

Traumatic brain injury: neuropathological, neurocognitive and neurobehavioral sequelae

D Pavlovic, S Pekic, M Stojanovic, V Popovic - Pituitary, 2019 - Springer
Traumatic brain injury (TBI) causes substantial neurological disabilities and mental distress.
Annual TBI incidence is in magnitude of millions, making it a global health challenge …

Traumatic brain injury: imaging patterns and complications

AD Schweitzer, SN Niogi, CT Whitlow, AJ Tsiouris - Radiographics, 2019 - pubs.rsna.org
While the diagnosis of traumatic brain injury (TBI) is a clinical decision, neuroimaging
remains vital for guiding management on the basis of identification of intracranial pathologic …

A framework to advance biomarker development in the diagnosis, outcome prediction, and treatment of traumatic brain injury

EA Wilde, IB Wanner, K Kenney, J Gill… - Journal of …, 2022 - liebertpub.com
Multi-modal biomarkers (eg, imaging, blood-based, physiological) of unique traumatic brain
injury (TBI) endophenotypes are necessary to guide the development of personalized and …

Management of traumatic brain injury in the non‐neurosurgical intensive care unit: a narrative review of current evidence

MD Wiles, M Braganza, H Edwards, E Krause… - …, 2023 - Wiley Online Library
Each year, approximately 70 million people suffer traumatic brain injury, which has a
significant physical, psychosocial and economic impact for patients and their families. It is …

Prognosticating outcome using magnetic resonance imaging in patients with moderate to severe traumatic brain injury: a machine learning approach

M Mohamed, A Alamri, M Mohamed, N Khalid… - Brain Injury, 2022 - Taylor & Francis
Introduction Over the last decade advancements in computer processing have enabled the
application of machine learning (ML) to complex medical problems. Convolutional neural …

[HTML][HTML] Serum biomarkers identify critically ill traumatic brain injury patients for MRI

S Richter, S Winzeck, E Czeiter, K Amrein… - Critical Care, 2022 - Springer
Background Magnetic resonance imaging (MRI) carries prognostic importance after
traumatic brain injury (TBI), especially when computed tomography (CT) fails to fully explain …

Aquaporin 4 in traumatic brain injury: from molecular pathways to therapeutic target

E Dadgostar, S Rahimi, S Nikmanzar, S Nazemi… - Neurochemical …, 2022 - Springer
Traumatic brain injury (TBI) is known as an acute degenerative pathology of the central
nervous system, and has been shown to increase brain aquaporin 4 (AQP4) expression …

Extended analysis of axonal injuries detected using magnetic resonance imaging in critically Ill traumatic brain injury patients

J Tjerkaski, H Nyström, R Raj, C Lindblad… - Journal of …, 2022 - liebertpub.com
Studies show conflicting results regarding the prognostic significance of traumatic axonal
injuries (TAI) in patients with traumatic brain injury (TBI). Therefore, we documented the …

[HTML][HTML] Traumatic brain injuries induced pituitary dysfunction: a call for algorithms

A Gilis-Januszewska, Ł Kluczyński… - Endocrine …, 2020 - ec.bioscientifica.com
Traumatic brain injury affects many people each year, resulting in a serious burden of
devastating health consequences. Motor-vehicle and work-related accidents, falls, assaults …