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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords