ESTRO 2025 - Abstract Book

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Invited Speaker

ESTRO 2025

Local and Global Challenges and Implementation Considerations

Implementing RTT-led credentialing and training for oART is not without its obstacles, and this section will focus on both local and global barriers including regulatory issues, resource limitations and the geographical disparity in access to advanced training. The difficulties faced at NSCC in implementing RTT -led oART workflows will be examined, along with the approaches taken to address these issues. Additionally, the presentation will highlight how our experiences and insights can help address global implementation hurdles and inform the creation of standardised credentialing practices across international healthcare settings. Finally, the importance of a value-based healthcare approach will be integrated into the discussion, examining the role of RTTs in delivering cost-effective, high-quality care through oART. By leveraging the expertise of RTTs in adaptive workflows, healthcare systems can optimise patient care and outcomes while addressing workforce challenges and rising costs.

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Speaker Abstracts Integrating AI into the adaptive RT pathway Anna M Dinkla Radiation oncology, Amsterdam UMC, Amsterdam, Netherlands

Abstract: Opportunities and the use of AI in the radiotherapy chain are growing. Automation is a requirement for widespead clinical adoption of online adaptive radiotherapy. However, the adoption of AI-based automation depends in most cases on the design and implementation by the vendor, whereas home-made AI tools are limited to specialized centres and those tools are tailored to specific institutions, workflows and research questions. Vendor based solutions may or may not fit your local clinical practice. The implementation of AI in practice should be performed in a multidisciplinary fashion. Users (RTTs) should be aware which processes adopt AI (and which do not). Also, it is important to understand some of the basics of the AI tools to know what the pitfalls are. Monitoring the performance is an important method to train staff, maintain experience levels and report back to the developing team. A mechanism for feedback from the user to the vendors is needed to continuously improve quality, speed, safety and integration into clinical workflows. This presentation will highlight current and future applications of AI in the (online) adaptive workflows. Speaker Abstracts Improving efficiency in adaptive RT Bethany Williams 1 , Helen A McNair 1,2 1 Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom. 2 Radiotherapy, The Institute of Cancer Research, London, United Kingdom Abstract: To meet the increasing demand for radiotherapy 1 , improving oART efficiency is crucial. Online adaptive radiotherapy (oART) aims to improve patient outcomes by enhancing treatment accuracy, enabling both inter- and intra-fractional adaptation to changes in anatomy. However, oART is resource intensive. While early toxicity data remains promising, final health outcomes and cost-effectiveness of oART are yet to be fully established 2 . This, combined with significant capital outlay creates a high implementation burden for healthcare services. This 4707