Fig. 1From: Personalized treatment planning with a model of radiation therapy outcomes for use in multiobjective optimization of IMRT plans for prostate cancerFlow diagram of the new treatment planning model. Objective functions and the patient and beam model are input into a multiobjective optimization algorithm which outputs a set of plans. The set of plan containing the dosimetric variables and patient variables are input into a Bayesian network. The output is a set of probabilities for each of the possible outcomes; these in turn are combined with utilities for these outcomes in a Markov Model in order to rank the plansBack to article page