Download full-text PDF

Source

Publication Analysis

Top Keywords

subdural hematoma
8
[unusual neurological
4
neurological manifestations
4
manifestations chronic
4
chronic subdural
4
hematoma aphasia
4
aphasia hemianopsia
4
hemianopsia reference
4
reference cases
4
cases subdural
4

Similar Publications

 A rare variant of congenital aqueductal stenosis (CAS) is known as adult-onset CAS, characterized by the emergence of symptoms during adulthood.  A 35-year-old man presented complaining of acute-onset headache and vomiting. Magnetic resonance imaging of the brain revealed an acute hydrocephalus due to an aqueductal web.

View Article and Find Full Text PDF

Background:  Chronic subdural hematoma (cSDH) is a common neurosurgical condition of growing importance due to the aging population and increasing use of antithrombotic agents. Due to the lack of guidelines, great variability is observed in the treatment of cSDH. We conducted a multicenter, nationwide survey to assess the differences in treatment across Germany in the context of surgical practices discussed in the literature.

View Article and Find Full Text PDF

Spinal cord injury in abusive and accidental head injury in children, a neuropathological investigation.

Int J Legal Med

January 2025

London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

The diagnosis of abusive head trauma (AbHT) in children is a challenging one that needs to be differentiated from natural disease and accidental head injury (AcHT). There is increasing evidence from the Neuroradiology field showing spinal cord injury in children subject to AbHT, which has, so far, been poorly investigated pathologically. In this study we retrospectively reviewed the forensic records of 110 paediatric head injury cases over an eight-year-period.

View Article and Find Full Text PDF

Objective: Neurological deterioration after mild traumatic brain injury (TBI) has been recognized as a poor prognostic factor. Early detection of neurological deterioration would allow appropriate monitoring and timely therapeutic interventions to improve patient outcomes. In this study, we developed a machine learning model to predict the occurrence of neurological deterioration after mild TBI using information obtained on admission.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!