S1800
Physics - Dose prediction/calculation, optimisation and applications for photon and electron planning
ESTRO 2026
stereotactic radiosurgery (SRS), head and neck, lung SBRT, and breast cancer (supine and prone). Workflow integration across simulation, planning, verification, and treatment was assessed, with emphasis on MapRT functionality. Literature reporting dosimetric advantages of non-coplanar planning and workflow efficiency was reviewed. Additionally, early clinical implementation data from our institution were evaluated, focusing on planning efficiency, collision prevention, and staff-reported usability. Results: SGP facilitates non-coplanar beam arrangements that improve conformity and reduce organ-at-risk (OAR) exposure. For brain tumors, improved coverage and sparing of optic structures has been demonstrated Head and neck applications show reduced salivary gland doses, while lung SBRT with 4 π optimization decreases heart and lung doses by 10–15%.Workflow efficiency is enhanced through elimination of dry runs, proactive collision detection, and simplified planning. Reported time savings include ~20% reduction in setup for complex cases, with >90% of high-risk collision scenarios resolved preemptively.At our institutions, implementation of MapRT improved pre- treatment clearance verification, reduced replanning delays, and increased staff confidence in adopting non-coplanar strategies. Conclusion: SGP with MapRT enhances plan quality, reduces OAR exposure, improves safety, and streamlines workflow across a range of clinical scenarios. Our institutional experience supports the feasibility and benefit of routine SGP use. Future development will likely include tighter TPS integration, adaptive planning, and AI- driven optimization, positioning SGP as a cornerstone of modern radiotherapy. References: Clark GM, et al. Int J Radiat Oncol Biol Phys. 2010.Rwigema JCM, et al. Int J Radiat Oncol Biol Phys. 2015Dong P, et al. Int J Radiat Oncol Biol Phys. 2013 Keywords: Plan Optimization, Clearance Map, SGRT Digital Poster 213 Technique comparison for breast cancer with respiratory movement simulation Andrea Rodríguez Álvarez, Pablo López Expósito, Breixo Carmelo Portas Ferradás, Paula Rosa Menéndez, Silvia Alonso Alonso, Artur Sampayo Muñoz, Daniel Díaz Martín Radiofisica y Proteccion Radiológica, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain Purpose/Objective: Breast cancer is one of the most prevalent cancer types worldwide, its treatment is often constrained by
References: https://doi.org/10.1016/j.ijrobp.2009.05.038https://doi. org/10.1080/0284186X.2021.1983209https://doi.org/1 0.1016/j.meddos.2018.04.006https://doi.org/10.1007/s 00066-012-0281- 2https://doi.org/10.1269/jrr.11159https://doi.org/10.11 86/s13014-018-1167-yhttps://doi.org/10.1186/s13014- 021-01895- 2https://doi.org/10.1016/j.adro.2025.101728https://doi .org/10.1016/j.meddos.2019.04.005https://doi.org/10. 1016/j.meddos.2018.03.005https://doi.org/10.1371/jou rnal.pone.0205770https://doi.org/10.1038/s41598- 023-50538- xhttps://doi.org/10.1080/0284186X.2021.1957499 Keywords: VMAT, Breast, Locoregional Clinical Benefits of Surface Guided Planning: Improving Safety, Efficiency and Outcomes Adi Robinson 1 , Michael Tallhamer 2 1 Radiation Oncology, AdventHealth, Celebration, USA. 2 Radiation Oncology, AdventHealth, Parker, USA Purpose/Objective: Surface Guided Planning (SGP) integrates surface imaging and collision detection into treatment planning to address challenges posed by increasingly complex radiotherapy techniques. MapRT, a clinical SGP platform, enables non-coplanar planning, proactive clearance mapping, and improved workflow integration. This work summarizes clinical applications, reported benefits, and our initial institutional experience with SGP. Material/Methods: A narrative review of clinical scenarios where SGP offers value was performed, including brain Digital Poster 136
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