Keywords: Cancer, Head & Neck/ENT
Motivation: Improve decision-making by focusing on treatment effects rather than risk.
Goal(s): Develop an individual treatment effect (ITE) model, based on structured MR reporting variables, for predicting induction chemotherapy (IC) efficacy in nasopharyngeal carcinoma (NPC).
Approach: In this retrospective 2-center study (N=1207), an ITE model was developed based on real-number coding genetic algorithm.
Results: The ITE model successfully classify patients into three categories. In IC-beneficial subgroup, IC treatment decreased the mortality risk by 48% (adjusted P=0·029) in testing sets. In IC-detrimental group, mortality risks increased by 2·11 (adjusted P=0·023, testing set) after IC treatment. Overall survival was not significantly different in IC-ambiguous group.
Impact: By precisely stratifying the outcomes of IC treatment, ITE model has the potential to enhance individualized treatment and optimize the management of patients with NPC. Additionally, the ITE model offers a viable strategy for personalized treatment decision-making in other tumors.
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