RapidPlan™ knowledge-based treatment planning software can improve quality control in radiotherapy and radiosurgery treatment plans, according to research presented at last year’s AAPM annual meeting.
Kathryn Masi and Maria Ditman from the University of Michigan, Ann Arbor, found that RapidPlan software creates consistent, efficient, quality plans while standardizing the treatment planning process. They used a prostate-specific RapidPlan model based on 60 prostate intensity-modulated radiation therapy (IMRT) plans. Applying their knowledge-based planning (KBP) model to 10 patients from four community-based clinics, they found that RapidPlan could improve the quality control of smaller community-based clinics by helping them "identify the areas in their treatment plans that may be improved whether that be in normal tissue sparing or improved target coverage."1
Similar findings were reported by researchers conducting a multi-institutional phase II clinical trial sponsored by the National Clinical Trials Network (NCTN) for patients with uterine cervix or vaginal cancer. Using a KBP model, researchers reported that RapidPlan greatly improved plan quality assurance for IMRT pre-treatment plans.2
The use of RapidPlan is expanding to other areas, including motion management for treating lung cancer during stereotactic body radiation therapy (SBRT). Ronald Lalonde, M. Saiful Huq, and Dwight Heron from UPMC, Pittsburgh, Pennsylvania, concluded that RapidPlan was able to accurately predict the achievable doses in treatment plans, and predict patients in whom RTOG dose guidelines would be exceeded without the use of motion management. They found that RapidPlan could be a useful tool for identifying patients who might benefit most from motion management during SBRT treatment."3
"Since RapidPlan's launch in 2014, scientific data show that Varian has delivered on its promise to improve knowledge-based planning. We've developed a software tool that creates consistent, efficient, high-quality plans across disease sites and treatment methods," said Corey Zankowski, chief technology information officer. "We look forward to continuing to advance treatment planning and to enhancing access to quality cancer treatment around the world."
Funding Support, Disclosures, and Conflict of Interest: The Kathryn Masi et al. and Ronald Lalonde et al. presentations were based on work supported by Varian Medical Systems. References are to abstracts from presentations at the American Association of Physicists in Medicine (AAPM) 58th Annual Meeting & Exhibition; July 31-August 4, 2016; Washington, DC
1Masi K, Ditman M, Marsh R, Dai J, Huberts M, Khadija M, Tatro D, Archer P, Matuszak M. Quality control of treatment planning using knowledge-based planning across a system of radiation oncology practices.
2Giaddui T, Li N, Curry K, Moore K, Mell L, Leath C, Kunos C, Xiao Y. Establishing a workflow for IMRT pre-treatment reviews for NRG-GY006 Clinical Trial.
3Lalonde R, Huq M, Heron D. Use of knowledge-based planning to evaluate the need for motion management in lung SBRT.