ESTRO 2023 - Abstract Book

S2084

Digital Posters

ESTRO 2023

Results The phantom simulates anatomically realistic organs and tumoral lesions and is also able to simulate human respiratory motion, which can be used for multimodal imaging. The models have anatomically equivalent radiographic scattering and absorption properties and produce realistic relation times in MR. The target surface of the phantom could be successfully acquired with the 3D cameras of the AlignRT. Conclusion This generated phantom can be used for radiation planning of the liver tumor models. In addition, real-time automated segmentation provided by this phantom makes it more feasible to perform an adaptive radiation planning and to do a quality assessment of respiratory-guided radiation, using AlignRT. However, reproducability of the organ movements is yet to be determined. A place for the use of EBT3 Film imaging has been established in Phantom. Moreover, other detectors such as ionization chambers or dosimetric gels may be used for dose measurement in Phantom in the future. J. Aponte Arcila 1 , J.L. Rodriguez-Mongua 1 , C.K. Torzsok 1 , A. Ruíz 1 , M. Ribeiro 1 , H. Broque 1 , F. Marangoni 1 , M. Pino 1 , R. Plata 2 1 Fundación Arturo López Pérez, Radiotherapy, Santiago, Chile; 2 Radiotherapy, Fundación Arturo López Pérez, Santiago, Chile Purpose or Objective Radiation overexposure accidents during radiotherapy treatments have decreased with the advancement of technology. Record and Verification (R&V) systems assist technicians in the transmission of treatment parameters for every fraction, thus reducing the potential for human error. Risks associated with an accidental exposure can be reduced by generating strategies to detect and prevent their occurrence, or mitigate their consequences. Information Technology (IT) safety barriers are robust tools that prevent the occurrence of events that could trigger errors. Often, treatment workflows, due to their complexity and inadequate integration, require human intervention to transfer treatment plans from the planning system (TPS) to the imaging system and onto the R&V. In the frame of a strict Quality Assurance program, It is essential to develop preventive procedures to avoid transformation of errors into accidents. This works proposes a scripting tool that allows detecting any incorrect typing or alteration of data during the transfer of the treatment plan to the R&V system. Materials and Methods Using Python as a programming language, a script was created to automatically compare, before any patient starts treatment. the information that is exported from Monaco® TPS with the information that is stored in the Mosaiq® R&V. Users are alerted of any disparity in all exported parameters such as patient's demographic data, field s, couch and collimator rotation, monitor units, dose per field, prescription, fractions, among others. The script issues a report where the compared data sets are listed in a PDF table for ease of review, as shown in Figure 1. PO-2315 Development of a safety barrier against radiation treatment accidents through a Python script