A novel radiological classification system for cerebral gliomas: The Brain-Grid.
Francesco LatiniMarkus FahlströmShala G BerntssonElna-Marie LarssonAnja SmitsMats RyttleforsPublished in: PloS one (2019)
The Brain-Grid based classification system provides an accurate observational tool in all patients with suspected gliomas, based on the comparison of grid voxels on a morphological MRI and segmented white matter atlas. Important biological information on tumor kinetics including extension, speed, and preferential direction of progression can be observed and even predicted with this system. This novel classification can easily be applied to both prospective and retrospective cohorts of patients and increase our comprehension of glioma behavior.
Keyphrases
- white matter
- high grade
- end stage renal disease
- multiple sclerosis
- resting state
- magnetic resonance imaging
- ejection fraction
- cerebral ischemia
- chronic kidney disease
- cross sectional
- deep learning
- subarachnoid hemorrhage
- prognostic factors
- high resolution
- healthcare
- contrast enhanced
- magnetic resonance
- computed tomography
- patient reported outcomes
- patient reported
- social media