ESTRO 2020 Abstract book
S2 ESTRO 2020
treatment planning. Apart from large reductions in treatment planning workload, also significant increases in plan quality have been reported, depending on the applied algorithm and performed study. Clinical implementation of these algorithms is not trivial. Apart from technical/algorithmic issues, also logistical and organizational aspects need to be carefully addressed for making clinical use a success. This lecture will focus on measures and conditions for effective, efficient and safe clinical use of automated planning.
Teaching Lecture: Fractionation in prostate cancer radiotherapy
SP-0006 Fractionation in prostate cancer radiotherapy N. Van As The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
Abstract not received
Teaching Lecture: IAEA guide on Radiation Protection and Safety in Medical Uses of Ionising Radiation
Teaching Lecture: Which organs should be spared to achieve optimal dose distribution in thoracic tumours?
SP-0009 IAEA Safety Guide on Radiation Protection and Safety in Medical Uses of Ionizing Radiation P. Johnston 1 1 IAEA - International Atomic Energy Agency, Division of Radiation- Transport and Waste Safety- Department of Nuclear Safety and Security, Wien, Austria
SP-0007 Which organs should be spared to achieve optimal dose distribution in thoracic tumours? C. Muijs 1 1 University Medical Center Groningen- University of Groningen, Radiation Oncology, Groningen, The Netherlands Abstract text Radiotherapy might improve the outcome of thoracic tumors. However, this gain is at the expense of radiation induced complication risks, by co-irradiation of several normal tissues, such as heart and lungs. Recent improvements in photon techniques, like IMRT/VMAT and the use of breath hold, resulted in reductions of high dose regions in heart or lungs, which seems to decrease the risk of non-cancer related deaths. Proton beam radiotherapy reduces the dose to both heart and lungs substantially, especially low dose areas. The introduction of these new radiotherapy techniques, enabling accurate dose modification, raises the question how to prioritize these organs at risk. Historically, radiation oncologists focused on reducing lung dose to reduce the risk of radiation pneumonitis. However, recently also a wide spectrum of cardiac complications (coronary events, heart failure, arrhythmia) and even cardiac death were observed 1 . Both cardiac and pulmonary radiation induced complication are related to overall survival 2 . Moreover, the question of how to prioritize and/or reduce the combined risk of these toxicities is complicated by the interaction between heart and lungs. In summary, in the treatment of thoracic tumours both pulmonary as well as cardiac complication risks should be minimized. Proton radiotherapy reduces the radiation dose to both organs at risk. References Lin SH, Zhang N, Godby J et al. Radiation modality use and cardiopulmonary mortality risk in elderly patients with esophageal cancer. Cancer. 2016 Mar 15;122(6):917-28 Xu C, Guo L, Liao Z et al. Heart and lung doses are independent predictors of overall survival in esophageal cancer after chemoradiotherapy.Clin Transl Radiat Oncol. 2019 Apr 24;17:17-23.
Teaching Lecture: Do’s and don’ts in automated treatment planning – optimising conditions and expectations
Teaching Lecture: The evolution of RTT leadership in radiation oncology
SP-0010 The evolution of RTT leadership in radiation oncology M. Coffey 1 1 Trinity Centre for Health Sciences, Discipline of Radiation Therapy- School of Medicine, Dublin, Ireland Abstract text Firstly we need to consider what is a leader, how a leader evolves, the relationship between a leader and leadership and what we want from a leader of RTTs in the current and
SP-0008 Do’s and don’ts in automated treatment planning – optimising conditions and expectations B. Heijmen 1 , A. Sharfo 1 , L. Rossi 1 , J. Penninkhof 1 , M. Dirkx 1 , S. Breedveld 1 1 Erasmus Mc Cancer Institute Rotterdam, Radiation Oncology, Rotterdam, The Netherlands Abstract text Recently, many publications have appeared on development and validation of algorithms for automated
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