Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification

CONCLUSION: Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.PMID:37735892 | DOI:10.1177/02841851231199744

Source: Acta Radiologica - September 22, 2023 Category: Radiology Authors: Xin Kong Yu Mao Yuqi Luo Fengjun Xi Yan Li Jun Ma Source Type: research