Clinicians typically differ as to how constraints and objectives, representing different clinical endpoints, should be set or prioritized.
Thus, in designing a treatment plan in IMRT, an optimal plan may be difficult to describe explicitly in mathematical form because there exist multiple objectives, some of which may be conflicting. The relative importance of different objectives (e.g., tumor minimum dose and percentage of tumor volume receiving greater than a specified dose) may depend on the values that they simultaneously achieve. In this study, we analyze some important techniques that are pertinent to multiple objective optimization and analyze plan qualities and clinical tradeoffs to assist clinicians in selecting the most suitable treatment plans.
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