Radiotherapy plan evaluation tool in a resource-limited setting: Comparison of VERT and treatment planning software

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Abstract

Introduction: Simulation is becoming increasingly popular in clinical education due to a shortage of resources. The Virtual Environment for Radiotherapy Training (VERT) assists students in developing their skills by providing realistic simulations of clinical radiation oncology treatments. It has also been used to help students around the world learn how to evaluate treatment plans. Aim: The aim of this research is to evaluate version 5 of the VERT as a radiation therapy teaching tool for evaluating 3D treatment plans compared with treatment planning software tools in a limited resource setting. Methods: A quantitative design using an adapted online questionnaire was used for the study. All students registered for a bachelor's degree in a radiation therapy programme at the university's Department of Medical Imaging and Radiation Sciences were invited to a 90 min treatment planning session to evaluate two plans. First to fourth year students were evenly divided among eight groups. Four groups used the ECLIPSE TPS software (Varian Medical Systems, Palo Alto), and the other four groups used VERT version 5.0 (Virtual Ltd, Hull) to evaluate the same plans. Results: This study demonstrated that VERT version 5.0 has the potential to improve the training of radiation therapy students in environments with limited resources as a plan evaluation tool alongside the treatment planning software tools. All respondents found the session useful, with 55% of students indicating that the session was extremely useful. Conclusion: Insights into the value of VERT as a teaching tool could contribute to improving training efficacy in contexts with resource limitations that are present in many clinical settings.

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APA

Ramashia, P. N. (2023, December 1). Radiotherapy plan evaluation tool in a resource-limited setting: Comparison of VERT and treatment planning software. Journal of Medical Imaging and Radiation Sciences. Elsevier Inc. https://doi.org/10.1016/j.jmir.2023.07.014

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