A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features.

CONCLUSIONS: Using conventional MRI and clinical features, we established a machine learning-based model with high accuracy and a simplified model with improved clinical utility to predict H3K27M mutations in BSGs. PMID: 30097251 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/30097251?dopt=Abstract

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - August 7, 2018 Category: Radiology Authors: Pan CC, Liu J, Tang J, Chen X, Chen F, Wu YL, Geng YB, Xu C, Zhang X, Wu Z, Gao PY, Zhang JT, Yan H, Liao H, Zhang LW Tags: Radiother Oncol Source Type: research