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Abstract #3082

MRI-based radiomics in pituitary adenomas: pre-treatment prediction of prolactin expression

Mo Zhanhao1, Li Xuejia1, Sui He1, and Liu Lin1

1China-Japan Union Hospital of Jilin University, Changchun, China

To investigate the potential of radiomics features based on MRI in predicting the prolactin expression of pituitary adenomas before treatment. We build the logistic model and validation, which can offer a noninvasive approach to predict the PRL expression of pituitary adenomas by the way of machine learning. It may be a reference in the diagnosis, treatment and prognosis evaluation for some pituitary adenoma subtypes.

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