New results on rapid training and efficacy of knowledge-based planning as a quality control tool on clinical trials

In this work we developed a highly efficient method to train, refine, and validate a KBP system automated planning system. Model refinement was accomplished according to clinical trial dosimetric objectives and the best of several auto-planning routines was identified using a program that automatically re-planned multiple prior patients without human intervention. The final KBP routine showed improved normal tissue sparing across both training and validation samples, and will be incorporated as an automated QC system in future cervical cancer clinical trials.