S2810
RTT - RTT education, training, and advanced practice
ESTRO 2026
Keywords: Radiotherapy simulation, virtual placement References: 1: Cole, R. and Wightman, J.M. (2023) Impact of a multiday, high-fidelity, immersive simulation on medical students' self confidence. Military Medicine (188) S3:212: Liaw, S.K., et al. (2019). Design and evaluation of a 3D virtual environment for collaborative learning in interprofessional team care delivery. Nurse Education Today (81): 64-713: Spencer, D., et al. (2024) Student experiences with a molecular biotechnology course containing an interactive 3D immersive simulation and its impact on motivational beliefs. PLoS ONE 19(7).4: Lin, B., et al. (2024). Global trends and hotpots in standardised patients research in the last 30 years: A bibliometric analysis. Heliyon, 10(17). Comparative Analysis of Organ Segmentation in SBRT Prostate Cancer Using 3D-T2 vs. 3D-T2 SPAIR Imaging on a Philips Ingenia 1.5 Tesla MRI. Abid Ali Mirza aman 1 , Nadeem Pervez 2 , Zahid Al- Mandhari 1 , Khadiga Mohammed 1 , Syed Furqan Hashmi 1 , Sercan Yilmaz 1 , Syeda Sara Tajammul 1 , Benazir Khaskheli 1 1 Radiation Oncology, Sultan Qaboos Comprehensive cancer care and Research centre, Muscat, Oman. 2 Radiation Oncology, University of Alberta, Edmonton, Edmonton, Canada Digital Poster 35
Simulated, End-to-End Patient Pathway for Radiotherapy Education Paul Lansdowne, Heather Lawrence, Greg Fury, Andrea Maggs, Claire Bennett, Jonathan Brack, Annie Ballard-Heap School of Health & Social Wellbeing, University of the West of England, Bristol, United Kingdom Purpose/Objective: The University of the West of England has recently incorporated a simulation block into the teaching and learning pedagogy of the BSc (Hons) Radiotherapy and Oncology programme. The simulation block counts towards the clinical placement hours for the programme and reduces the number of hours required in a real-world clinical placement. Furthermore, high fidelity simulation has been shown to improve the confidence and decision-making ability of students 1-3. The University has invested in an on- campus CT scanner and simulation resources that allow for a unique opportunity to develop an end-to- end, high-fidelity simulated placement block, from pre- treatment to treatment delivery, in an on-campus environment. The aim of this poster is to describe the development and implementation of an end-to end, on-campus simulated clinical placement that allows for legitimate placement learning beyond a traditional placement and reduces the reliance on clinical sites to develop clinical competency. Material/Methods: A simulated radiotherapy pathway was developed which included the use of standardised patients to improve realism in communication and patient positioning 4. Scenarios were designed to allow students to run a pre-treatment clinic, inclusive of CT scanning an anatomically correct phantom, planning the patient’s treatment using Eclipse, setting up the patient using VERT which included a newly released SGRT module, and then delivering the treatment using a bespoke immersive control room designed to simulate the control room of a LINAC.Participating students were provided a 3-level Likert scale questionnaire after the simulated learning day to provide feedback and assess the quality of the simulated placement. Results: The simulation activity was successfully developed and was incorporated into the timetable for a simulated placement block at the University of the West of England. Questionnaires returned by participating students gave a majority response of 'Agree' to positive statements on the value of the simulated placement for all questions. Conclusion: High-fidelity virtual simulation is an important pedagogical training tool that can be integrated into the clinical education of radiotherapy students.
Purpose/Objective: To visually compare the image quality of 3
Dimensional T2-weighted (3D-T2) and 3 Dimensional T2 Spectral Attenuated Inversion Recovery (3D-SPAIR) MRI sequences for prostate and organ-at-risk (OAR) delineation in SBRT planning using a Philips Ingenia 1.5 Tesla MRI. Material/Methods: The retrospective analysis included 18 prostate cancer patients (mean age: 53 years; range: 42–64) imaged on a Philips Ingenia 1.5 Tesla MRI. Six radiation oncologists independently evaluated 36 sequences (18 per sequence type) on Eclipse Contouring Station using a four-point ordinal scale (very clear, clear, neutral, unclear) for prostate zones (peripheral, transition, central), Seminal vesicles and OARs (urethra and bladder). Statistical analysis employed Wilcoxon signed-rank tests (W) (ordinal ratings) and paired t- tests (CNR/SNR; significance: p < 0.05).
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