Radiation therapy planning using integrated model

A non-transitory computer-readable storage medium embodying instructions that, when executed by a processing device, cause the processing device to perform a method of automatically generating an integrated dose prediction model for planning radiation therapy, said method comprising:

• accessing a plurality of predictive models, wherein each of said plurality of predictive models correlates input variables representing patient information features with variables pertinent to radiation treatment planning to predict an achievable dose distribution in a patient;
• and
• integrating said plurality of predictive models into said integrated dose prediction model, wherein said integrated dose prediction model is a hierarchical model comprising said plurality of predictive models arranged in a hierarchy, wherein said integrated dose prediction model is configured to:
• receive data of said patient information features;
• automatically select one or more predictive models from said plurality of predictive models based on said data of said patient information features;
• and
• process said data of said patient information features in accordance with said one or more predictive models to output a resultant radiation treatment prediction comprising a predicted achievable dose distribution in said patient.

A system comprising:

• a processor;
• a memory coupled to said processor and comprising instructions that, when executed by said processor, cause the processor to perform a method of automatically generating a radiation therapy plan, said method comprising:
• accessing patient information;
• accessing an integrated dose prediction model that integrates a plurality of predictive models, wherein said integrated dose prediction model is a hierarchical model comprising said plurality of predictive models arranged in a hierarchy, wherein a respective predictive model of said plurality of predictive models correlates input variables of patient information features with output variables pertinent to radiation treatment planning to predict an achievable dose distribution in a patient;
• automatically selecting one or more predictive models based on said patient information in accordance with said integrated dose prediction model;
• processing said patient information in accordance with said one or more predictive models;
• and
• outputting, by said one or more predictive models, a resultant radiation treatment prediction comprising a predicted achievable dose distribution in said patient.