Editorial for “Prediction of H3K27M Alteration Status in Brainstem Glioma Using Multi‐Shell Diffusion MRI Metrics”
Author:
Affiliation:
1. Department of Radiology Seoul National University Hospital Seoul Republic of Korea
2. Artificial Intelligence Collaborative Network, Department of Radiology Seoul National University Hospital Seoul Republic of Korea
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.29102
Reference10 articles.
1. Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review
2. Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network
3. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary
4. Histone H3 Mutations in Pediatric Brain Tumors
5. Noninvasive assessment of H3 K27M mutational status in diffuse midline gliomas by using apparent diffusion coefficient measurements
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