ESTRO 2024 - Abstract Book


Physics - Intra-fraction motion management and real-time adaptive radiotherapy

ESTRO 2024

A fully automated oART workflow for bladder cancer is dosimetrically considered clinically acceptable for about two thirds of the sessions considering the target coverage of the focal boost. This would allow for a shorter on-couch time of 5 min [1]. More accurate automatic delineation is needed to allow for this fully automated workflow to treat bladder cancer patients with a SIB. However, the results suggest the fully automated oART workflow to be promising for whole bladder treatments with one dose level as the target coverage for CTV elective met the clinical requirement in 95% of the sessions.

Keywords: artificial intelligence, bladder cancer


[1] Azzarouali, S., Goudschaal, K., Visser, J., Hulshof, M., Admiraal, M., van Wieringen, N., ... & Bel, A. (2023). Online adaptive radiotherapy for bladder cancer using a simultaneous integrated boost and fiducial markers. Radiation Oncology, 18(1), 1-12.


Poster Discussion

Independent validation of real-time prostate localization for MLC tracking in phantoms and patients

Klara Stefansson 1,2 , Per R Poulsen 3 , Per Munck af Rosenchöld 1,2 , Tobias Pommer 1 , André Haraldsson 2,1

1 Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden. 2 Medical Radiation Physics, Department of Clinical Sciences, Lund University, Lund, Sweden. 3 Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark


Intrafractional prostate motion has previously been reported as a limiting factor for accurate radiotherapy delivery [1]. Technology for real-time image-guided radiotherapy has been introduced for tracking and for compensating prostate motion during treatment. The increased accuracy allows for reduced target margins and thus better sparing of healthy tissue. To confidently rely on a real-time tumor tracking system, the tracking uncertainty and limitations must be known [1]. This study aims to investigate the geometrical accuracy of the prostate trajectory detected by an image-guided MLC tracking system by comparison with an independent retrospective model for trajectory estimation. Our study is, to our knowledge, the first independent validation of a commercial real-time MLC-tracking system using an alternative motion estimating algorithm.


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