ESTRO 2021 Abstract Book

S1689

ESTRO 2021

selection followed by organ contouring.

Staff felt practical sessions and small group tutorials would be the preferred training methods for developing these skills. Other suggestions included time with the planning team to see how they create radiotherapy treatment plans. Conclusion Current UK RTT undergraduate education contains little information on oART. Some RTTs had received workplace training in contouring, assessing target volume coverage and plan selection, but training level was variable and further training would be needed to perform oART. The lack of information provided at undergraduate level suggests that UK RTT training programs should include structured modules on contouring and oART in their curriculum. The information gathered from this survey has been used to develop a structured oART training program for RTTs, utilising theory work and practical sessions to develop the skills and confidence needed for RTTs to be able to treat oART patients independently. PO-1988 Designing a radiation therapy technologist training program for online adaptive Radiation Therapy A. Nielsen 1 , K. Lundgaard 1 , K. Jacobsen 1 , K. Hansen 1 , K. Søltoft 1 , L. Sten 1 , L. Gullander 1 , P. Sibolt 1 , L. Calmels 1 , L. Andersson 1 , P. Geertsen 1 1 Herlev and Gentofte Hospital, Department of Oncology, Herlev, Denmark Purpose or Objective The aim of this study was to develop a training program for artificial intelligence (AI) driven online adaptive Radiation Therapy (oART) based on cone beam computed tomography (CBCT) to optimize the RTTs competences and ensure high- quality treatments. Materials and Methods Performing oART daily is a specialized task for RTTs. To ensure that RTTs have the required competences, a training program was developed for future RTT adapters. The program was established as a multidisciplinary collaboration between RTTs, physicists and oncologists, who together have defined the different steps of the program. Results The oART program was divided into three parts. Part 1 included training in anatomy and influencer (structures that drive the deformation) review and editing, by an oncologist, and introduction to the adaptive workflow, by a physicist. During the training, RTTs had access to an emulator where oART sessions were simulated. RTTs were able to practice influencer review and editing using the different tools of the system and setting a strategy to optimize the workflow. Finally, the RTTs independency, accuracy and time efficiency was assessed during simulated online influencer evaluation and editing with the RTTs having no prior knowledge about the cases. Part 2 included physicist lead training on critical review of the propagated targets, including an introduction to the different deformable image registration algorithms used by the system as well as a case review and discussion on the emulator. Thereafter, the RTTs carried out simulated online review of propagated targets, including critical comparison to reference delineations on the planning CT. Part 3 started with an introduction to offline treatment planning by a physicist. Initial hands-on training included practice