Keywords: Pancreas, Cancer
Individualized management of pancreatic ductal adenocarcinoma (PDAC) is difficult and understanding it underlying biology is important. Radiomics model based on MRI was developed to predict status of KRAS and TP53 in PDAC, univariate analysis, MRMR and LASSO were applied for feature selection and multivariable logistic regression used for modeling. The classification metrics were applied to assess these models discrimination. Results suggested radiomics model based on MRI outperformed clinical model for predicting gene mutations of PDAC. This study confirmed that radiomics model based on MRI had a potentiality to predict the KRAS and TP53 mutation in PDAC.
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