- Hemorrhage Volume Drives Early Brain Injury and Outcome in Poor-Grade Aneurysmal SAH
Early brain injury (radiologically defined by global cerebral edema) is a major determinant of clinical outcome in poor-grade aneurysmal SAH. In this retrospective study of 400 patients with poor-grade aneurysmal SAH, it was shown that intracerebral hemorrhage volume independently predicted global cerebral edema and long-term outcome, intraventricular hemorrhage volume predicted mortality and long-term outcome, and SAH volume predicted long-term clinical outcome.
- Expanding the Imaging Spectrum of Polymorphous Low-Grade Neuroepithelial Tumor of the Young in Children
The imaging spectrum of neuroimaging features in a series of pediatric patients with a histologically and molecularly proven polymorphous low-grade neuroepithelial tumor of the young is described, including the transmantle-like sign and adjacent cortical dysplasia.
- Clinical Evaluation of a 2-Minute Ultrafast Brain MR Protocol for Evaluation of Acute Pathology in the Emergency and Inpatient Settings
Ultrafast MR imaging (2.1 minutes) reconstructed with machine-learning assisted framework demonstrated significant reduction in motion artifacts and 98.5% agreement with the reference MR protocol (10 minutes) on the main clinical diagnosis, though there were greater image noise and geometric distortion on the ultrafast protocol.
- A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes
The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.
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