Program Information
IMRT Plan Quality Assessment Using Pinnacle's Auto-Planning and Sun Nuclear Corporation's PlanIQ Plan Evaluation and Feasibility
C Esquivel1*, L Patton1 , R McInturf1 , F Nunez2 , G Robinson3 , (1) Texas Oncology, San Antonio, TX, (2) Philips Radiation Oncology Systems, Highwood, IL, (3) Sun Nuclear Corporation, Melbourne, FL
Presentations
TU-C2-GePD-TT-4 (Tuesday, August 1, 2017) 10:00 AM - 10:30 AM Room: Therapy ePoster Theater
Purpose: To assess the quality of IMRT plans through the use of feasible dose objectives provided by SNC's PlanIQ for Philips Pinnacle³ Auto-Planning.
Methods: The quality of IMRT treatment plans can be highly variable, depending largely on a planner’s skills. With this considered, there is significant potential benefit in tools that not only improve plan quality and consistency, but validate the quality as well. In this study, 48 manually generated plans from varying treatment sites were compared to plans generated from Pinnacle³ Auto-Planning. Body sites included head and neck, abdomen, pelvis, and lung. Planning goals provided to the Auto-Planning progressive optimization engine were created using Sun Nuclear Corporation’s PlanIQ feasibility tool. This novel algorithm determines the best target volume coverage and lowest doses to critical structures potentially attainable. High quality plans, comparable to plans manually generated by the medical dosimetrist, were produced with one iteration. This quality was verified with objective scoring algorithms via PlanIQ.
Results: Forty-eight treatment plans generated through the use of Auto-Planning, with the feasibility objectives provided by PlanIQ, were compared to the manually generated plans in terms of coverage, critical structure sparing, and overall PlanIQ scores. While scoring was comparable with target volume coverage, 52% of the manually generated plans were slightly better. Both planning processes indicated similar results in terms of critical structure sparing. Improvement in 56% of the plans generated by Auto-Planning was observed in overall scoring. Sun Nuclear’s PlanIQ feasibility algorithm also includes evaluating the global maximum dose and its location, which was better achieved by Auto-Planning.
Conclusion: With the use of PlanIQ feasibility goals and Pinnacle³ Auto-Planning, quality treatment plans in relation to target volume coverage and sparing of critical structures, as compared to those created by a highly experienced medical dosimetrist, were achievable.
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