Personalized setting of plan parameters using feasibility dose volume histogram for auto-planning in Pinnacle system

Area of Science:

• Radiation Oncology
• Medical Physics

Background:

• Conventional fractionated radiotherapy (CFRT) for lung cancer requires precise treatment planning.
• The Pinnacle treatment planning system (TPS) offers an Auto-Planning module for treatment optimization.
• PlanIQ is a feasibility tool designed to personalize plan parameters.

Purpose of the Study:

• To evaluate the effectiveness of personalized plan parameters within the Pinnacle TPS Auto-Planning module for lung cancer CFRT.
• To compare the quality of automatically generated plans using personalized parameters against generic parameters and manual planning.

Main Methods:

• Ten lung cancer patients treated with volumetric modulated arc therapy (VMAT) were retrospectively reviewed.
• Three sets of treatment plans were created for each patient: manual plan (MP), auto-plan with generic parameters (AP1), and auto-plan with personalized parameters from PlanIQ (AP2).
• Plans were assessed based on dosimetric parameters, monitor units (MU), planning time, and a defined plan quality metric (PQM).

Main Results:

• AP2 demonstrated superior lung sparing compared to AP1 and MP.
• AP2 achieved a significantly higher PQM (52.5 ± 14.3) than AP1 (49.2 ± 16.2) and MP (44.8 ± 16.9) (P < 0.05).
• AP2 planning time (33.2 ± 4.8 min) was significantly lower than MP (72.9 ± 28.5 min) but slightly higher than AP1 (28.2 ± 4.0 min).

Conclusions:

• The Pinnacle Auto-Planning module, utilizing PlanIQ's personalized parameters, yields superior quality lung cancer radiotherapy plans, particularly in lung sparing.
• While personalized auto-planning slightly increases planning time compared to generic auto-planning, it significantly reduces it compared to manual planning.
• Personalized plan parameter optimization offers a promising approach for improving VMAT planning in lung cancer treatment.