ESTRO 2025 - Abstract Book

S4060

RTT - Patient care, preparation, immobilisation and IGRT verification protocols

ESTRO 2025

Fig.1 Chatbot integrated with a mobile application and some of the responses provided by the chatbot.

Conclusion: The chatbot was well received by both patients and HCPs. Further research is required to implement the chatbot on a larger scale and evaluate its impact on improving the patient’s satisfaction with the care provided.

Keywords: chatbot, radiotherapy, perception

References: [1] Baumgärtner K, Byczkowski M, Schmid T, Muschko M, Woessner P, Gerlach A, et al. Effectiveness of the Medical Chatbot PROSCA to Inform Patients About Prostate Cancer: Results of a Randomized Controlled Trial. Eur Urol Open Sci 2024;69:80–8. https://doi.org/10.1016/J.EUROS.2024.08.022. [2] Google. Conversational Agents and Dialogflow | Google Cloud n.d. https://cloud.google.com/products/conversational-agents#documentation (accessed November 11, 2024). [3] Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, et al. System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. JMIR Mhealth Uhealth 2022;10:e37290. https://doi.org/10.2196/37290.

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Digital Poster The comparison between Surface-Guided (SGRT) and Image-Guided Radiotherapy (IGRT) in Breast Cancer Yan Ru Chia, Eric Pei Ping Pang, Li Hoon Lim Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore Purpose/Objective: The emerging interests and clinical implementation of SGRT have been reported, particularly in recent years (1). With the recent implementation of SGRT workflow, an evaluation of how this technology can improve workflow and setup accuracy was conducted. This study aims to determine whether SGRT-derived setup shifts are comparable to traditional imaging-derived shifts for breast radiotherapy.

Material/Methods: 30 consecutive patients who underwent breast radiotherapy were stratified into two groups of 15 patients –