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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