Room: AAPM ePoster Library
Purpose: The latest version of Pinnacle (Pinnacle 16.4.0) comes with a complete integration of PlanIQ Feasibility from Sun Nuclear. PlanIQ Feasibility aims to improve IMRT plan quality by providing clinically achievable constraints for optimization. This study evaluates the dosimetric differences of implementing PlanIQ Feasibility in conjunction with Pinnacle Evolution’s Personalized Planning.
Methods: To observe the impact of Plan Feasibility, two plans were created for each patient: one with the use of PlanIQ and one without. Each planner was assigned to a specific treatment site (H&N, Pelvis, and Brain) and was allotted an hour to develop each plan; so far 15 sets of plans have been completed. The patients were anonymized and given to the planners in random order to avoid any bias from their experience creating the corresponding plan within the set. After the plans were completed, the quality of each plan was evaluated.
Results: T-tests were performed to determine whether there was a significant difference between the minimum, maximum, and mean doses to the structures of each site when using Feasibility with Personalized Planning. The structures were categorized as either targets or organs at risk (OARs). The results of the T-tests showed that there was a significant difference in the mean dose to the OARs in both the H&N and pelvis sites (p=0.024 and p=4.24E-06). The results also indicated that there was a significant difference in the max dose to the OARs in both the H&N and pelvis sites (p=0.010 and p=1.46E-04). When observing the targets of each site, there was a significant difference between the minimum and mean doses to the structures in only the H&N treatments (p=0.006 and p=3.40E-05).
Conclusion: The use of Feasibility with Pinnacle's Personalized Planning can help reduce the mean and maximum dose to OARs while maintaining target coverage.
Funding Support, Disclosures, and Conflict of Interest: Partially funded by Phillips.
Dosimetry, Software, Inverse Planning
TH- External Beam- Photons: IMRT/VMAT dose optimization algorithms