Table of Contents
Perspectives
Review Articles
Radiology-Pathology Correlation
General Contents
- Improved Glioma Grading Using Deep Convolutional Neural Networks
Convolutional neural networks are able to learn discriminating features automatically, and these features provide added value for grading gliomas.
- Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100
Machine learning-based feature selection can identify parameters with higher performance in outcome prediction.
- Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
The authors' evaluation of Viz LVO shows that the system has the potential for early identification of patients with stroke with large-vessel occlusions, hopefully improving future management and stroke care.
Commentary
Commentary
Commentary
- Dural Venous Sinus Stenosis: Why Distinguishing Intrinsic-versus-Extrinsic Stenosis Matters
Most patients in this study with idiopathic intracranial hypertension had extrinsic stenosis, and most patients with pulsatile tinnitus had intrinsic stenosis. Awareness and reporting of these subtypes may reduce the under-recognition of potential contributory stenoses in a given patient's idiopathic intracranial hypertension or pulsatile tinnitus.
Commentary
- Vestibular Implant Imaging
Flat panel CT of vestibular implants produces higher-resolution images with fewer artifacts than multidetector row CT, allowing visualization of individual electrode contacts and quantification of their locations relative to vestibular semicircular canals and ampullae.
- Involvement of the Spinal Cord in Primary Mitochondrial Disorders: A Neuroimaging Mimicker of Inflammation and Ischemia in Children
Spinal cord lesions are frequently observed in children with mitochondrial disorders and may mimic more common causes such as demyelination and ischemia.
