  In this paper knowledge based planning has been revolutionized via a novel
mathematical model which converts three dimensional dose distribution (3D3)
prediction to a clinical utilizable IMRT treatment plan. Presented model has
benefited from both prescribed dose as well as predicted dose and its objective
function includes both quadratic and linear phrases, so it was called QuadLin
model. The model has been run on the data of 30 patients with head and neck
cancer randomly selected from the Open KBP dataset. For each patient, there are
19 sets of dose prediction data in this database. Therefore, a total of 570
problems have been solved in the CVX framework and the results have been
evaluated by two plan quality approaches: 1- DVH points differences, and 2-
satisfied clinical criteria. The results of the current study indicate a strong
significant improvement in clinical indicators compared to the reference plan
of the dataset, 3D3 predictions, as well as the results of previous researches.
Accordingly, on average for 570 problems and total ROIs, clinical indicators
have improved by more than 21% and 15% compared to the predicted dose and
previous research, respectively.
