The ability to improve the adjusting of technical parameters in therapy plans found by Pareto navigation constitutes a technical problem, along with facilitating the decision-making of the planner (also called user) and simplifying the mathematical calculation of the solution. Proposed is a way to find and establish a therapy plan among a plurality of plan proposals for
cancer therapy, each plan proposal representing as a solution one point in a navigation space (N) containing a plurality of setting parameters and establishing in a
machine space (M) a setting for
radiation doses to be administered by a
radiation therapy
machine for
cancer therapy. The navigation space (N) contains at least one Pareto front (200) behind or on which available treatment plans are located as possible solutions and among which a user navigates, whereby a first plurality of available solutions calculated in advance as plan proposals is provided in a memory and retrieved or read out from the memory for display. The retrieved or read-out plan proposals are shown on a display and used by the user for navigation, whereby a large number of Pareto-optimal solutions with physical values or evaluations of
dose values can be found among the points. Moreover, such solutions are also shown that are almost Pareto-optimal, within a tolerance range of at most ±5% from the Pareto optimum. In this way, a large first set of points with the physical values or evaluations of
dose values is created and then stored in the memory. From this, a second set of points is calculated, which defines clinical targets. A decision space (D) is provided and shown in which at least the clinical targets are plotted on target axes (76, 876, 776). This is without the possibility of navigating in the decision space (D) on the target axes of the clinical targets, whereas binary selections in the decision space are made in the manner of restrictors to specify which plan proposals are not used as therapy plans. This enables a desired therapy plan to be found and determined from the large number of plan proposals.