Return to Work Within Four Months of Grade 3 Diffuse Axonal Injury.
Michael J YoungWilliam R SandersRose MarujoYelena G BodienBrian L EdlowPublished in: The Neurohospitalist (2022)
Neuroprognostication following diffuse axonal injury (DAI) has historically relied on neuroimaging techniques with lower spatial resolution and contrast than techniques currently available in clinical practice. Since the initial studies of DAI classification and prognosis in the 1980s and 1990s, advances in neuroimaging have improved detection of brainstem microbleeds, a hallmark feature of Grade 3 DAI that has traditionally been associated with poor neurologic outcome. Here, we report clinical and radiologic data from two patients with severe traumatic brain injury and grade 3 DAI who recovered functional independence and returned to work within 4 months of injury. Importantly, both patients were scanned using 3 Tesla MRI protocols that included susceptibility-weighted imaging (SWI), a technique that provides enhanced sensitivity for detecting brainstem microbleeds. These observations highlight the importance of developing approaches to DAI classification and prognosis that better align with contemporary neuroimaging capabilities.
Keyphrases
- machine learning
- severe traumatic brain injury
- deep learning
- magnetic resonance
- contrast enhanced
- end stage renal disease
- clinical practice
- spinal cord injury
- chronic kidney disease
- ejection fraction
- low grade
- newly diagnosed
- high resolution
- magnetic resonance imaging
- prognostic factors
- peritoneal dialysis
- electronic health record
- artificial intelligence
- quantum dots
- mass spectrometry
- network analysis
- case control
- data analysis