Introduction: The personalized planning engine in Pinnacle Evolution (version 16.4.3) for automated treatment planning incorporates the feasibility of DVH using several advanced optimization parameters that are generally empirically determined. Materials and Methods: Using the head and neck (HNCa) and prostate cancer (PCa) cases available from the AAPM TG-244 and the VMAT technique using an Elekta Versa HD LINAC, the role of the advanced optimization parameters has been investigated after identifying clinical goals. Plan complexity indexes were calculated using LINAC WATCH software v. 3.6 (Qualiformed, La Roche-sur-Yon, FRA) and correlated to dose distributions and dosimetric evaluations. Moreover, the plan deliverability was assessed using gamma (γ)-index analysis. Results: One hundred sixty plans were optimized (eighty per district). Out of the calculated ones, 88% and 100% were deliverable for HNCa and PCa, respectively, and 68% resulted in a γ-index ≥ 95% for both districts. Conclusions: Ad hoc measurements allowed us to identify a robust subset of acceptable input parameters based on γ-index passing rate criteria. Our approach identified advanced parameters to exploit the capability of the personalized planning engine of Pinnacle Evolution to be incorporated into the planning templates for HNCa and PCa radiotherapy planning.
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