S1998
Physics - Dose prediction/calculation, optimisation and applications for photon and electron planning
ESTRO 2026
Conclusion: Based on our study, we would recommend that the plans are recalculated on phase 0 and phase 50 to check the PTV V100% uncertainty. The results also indicate that the PTV coverage reporting must include uncertainties, rather than relying on a single calculation based on AIP. This enables practitioners/physicists to determine the extent to which the plan can be modified to enhance the ITV boost doses. For most patients heterogeneous planning provides better coverage of the ITV, as this compensates for any under-coverage resulting from the loss of build-up. References: 1. Tian Y, Wang Z, Ge H, Zhang T, Cai J, Kelsey C, Yoo D, Yin FF. Dosimetric comparison of treatment plans based on free breathing, maximum, and average intensity projection CTs for lung cancer SBRT. Medical physics. 2012 May;39(5):2754-60.2. Franks KN, Purdie TG, Dawson LA, Bezjak A, Jaffray DA, Bissonnette JP. Incorporating heterogeneity correction and 4DCT in lung stereotactic body radiation therapy (SBRT): the effect on target coverage, organ-at-risk doses, and dose conformity. Medical Dosimetry. 2010 Jun 1;35(2):101-7. Keywords: Lung SABR, uncertainties, treatment planning Digital Poster 4435 AI-generated treatment plans can deliver improved quality in lung SABR Dan Welsh 1 , Phil Whitehurst 1 , Catherine Harris 1 , Rachael Wooder 1 , Sam Ingram 1 , Matthew Clarke 1 , Alan McWilliam 2 , Marianne Aznar 2 , Kathryn Banfill 3 1 Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom. 2 Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom. 3 Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
Digital Poster 4456
RapidPlan for prostate and pelvic nodes VMAT: a gEUD objective-based approach for the bowel Olivia Walford 1,2 , Joanne Cook 1 , Annika Barr 1 , Shreyna Patnaik 1 , Emma Wells 3 , Jackie Poxon 1 1 Radiotherapy Physics, Barts Health NHS Trust, London, United Kingdom. 2 Medical Engineering & PhysicsPhysics and Radiobiology, King’s College London, London, United Kingdom. 3 Medical Engineering & Physics, King’s College London, London, United Kingdom Purpose/Objective: RapidPlan is Varian’s knowledge-based planning tool that automates dose-volume objective generation, improving planning consistency and efficiency [1]. Typically, RapidPlan models are used to generate point- or line-dose optimisation objectives for OARs. However, when applied to serial organs such as the bowel, this approach often fails to achieve absolute volume and maximum dose constraints without manual adjustment [2]. This study aimed to develop and evaluate a RapidPlan model for prostate and pelvic node radiotherapy using model-generated generalised equivalent uniform dose (gEUD) objectives for the bowel structure, with the goal of improving planning adaptability and organ-at-risk (OAR) sparing. Material/Methods: A RapidPlan model was trained using high-quality VMAT prostate and pelvic node plans from this institution (n = 23) using the Eclipse TPS (Varian Medical Systems). All plans had a prescription dose of
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