Early detecting patients at high risk of metachronous liver metastasis (MLM) in rectal cancer would provide the opportunity for improving prognosis and survival. In this study, we attempted to construct a non-invasive and convenient model based on rectal cancer T2WI and venous phase (VP) MR radiomics to predict MLM using support vector machine (SVM) and logistic regression (LR) algorithms. The results showed that the Modeloptimal using the LR algorithm had high potential for MLM prediction than other models. And except for ModelVP, the LR algorithm was not superior to the SVM algorithm for model construction.
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