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Abstract #4706

MGMT Promoter Methylation Prediction by End-to-end Evidential-Efficient Net

Yingjie Feng1, Junbo Zhao1, Huai Chen2, Xiaoyin Xu3, and Min Zhang1
1Zhejiang Univerisity, Hangzhou, China, 2The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 3Brigham and Women's Hospital´╝îHarvard Medical School, Boston, MA, United States

Synopsis

Malignant brain tumor affects a large number of patients and often have poor prognosis and low response to therapeutics. An indicator of the progress of brain tumor and its response to treatment is the DNA repair protein, O6-methylguanine-DNA methyltransferase (MGMT). As such, accurate assessment of MGMT is of great clinical significance. Biospy is not only invasive but also has the risk of undersampling the tumorous tissue. We presented a novel deep learning model that uses multi-MRI modalities to assess the expression of MGMT in glioblastoma (GBM) patients. Results showed that the model can achieve good performance.

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