ESTRO 2022 - Abstract Book

S2

Abstract book

ESTRO 2022

M. Esposito 1

1 Azienda Sanitaria USL Toscana Centro, S.O.C. Fisica Sanitaria, Firenze, Italy

Abstract Text In vivo dosimetry (IVD) is the last step of the quality assurance (QA) process in radiotherapy, providing an end-to end verification of the whole treatment. Modern IVD devices should be able to verify static and dynamic dose delivery and determine the most frequent and severe errors. An ideal IVD systems should act as a binary classifier by flagging incorrect fractions. Even if diodes are still the most popular devices for IVD, the use of electronic portal image device (EPID) is increasing, due to it's broad avalability and semplicity. Moreover, with EPID, the absorbed dose can be estimated not only in a point but also in a plane or even in 3D. The commissioning of an IVD device is aimed to verify the correct system implementation by testing the device functionality. It can be roughly divided in two parts. The first part consists in characterizing the basic device properties. The ability to correctly reproduce the delivered dose is therefore assessed. These tests includes: dose linearity response, dose rate response, energy and angular dependence, field size response. The goal of the second commissioning part is to assess the specificity and sensitivity to determine typical errors. To this aim, realistic errors should be simulated and tested, against errors free treatments. ROC curve are constructed to quantify the device sensitivity and specificity. In this lecture, after a brief general introduction about the different strategies for IVD, the commissioning and quality assurance experiences, reported in literature, are reviewed. In the final part, a commissioning and QA protocol for EPID IVD, applicable to all kind of sofware, is presented.

Teaching lecture: Monte Carlo dose calculation in modern day radiotherapy

SP-0008 Monte Carlo dose calculation in modern day radiotherapy

R. Kueng 1

1 Inselspital, Bern University Hospital, and University of Bern, Division of Medical Radiation Physics and Department of Radiation Oncology, Bern, Switzerland Abstract Text Today’s radiation therapy techniques strive to increase treatment accuracy (e.g. by using image guidance), improve dose conformity (e.g. by applying modulated photon or particle therapy) and cope with day-to-day uncertainties (e.g. by enabling adaptive therapy). To reliably pre-estimate the outcome of such a complex radiation therapy treatment, an accurate prediction of the dose distribution in the patient is crucial. Monte Carlo (MC) dose calculation algorithms are nowadays considered the gold standard for accurate dose prediction. This teaching lecture will cover the key concepts of MC dose calculation and a give brief recap of its history. The drawbacks and benefits of the stochastic approach to the problem will be discussed and techniques of speeding up MC dose calculation will be lined out. The lecture will finally give an overview of the application of MC methods in modern day radiation therapy and attempt to give an outlook on its progression in the field over the next years.

Teaching lecture: Patient education in 2022: Does the patient know better?

SP-0009 Use of social media, oncology platforms and other tools as base for education

J. De Munter

Belgium Abstract not available

Symposium: Education in radiation oncology: Advances and opportunities

SP-0011 Can virtual learning methods like VERT improve education in radiation oncology?

C. Poole 1

1 Applied Radiation Therapy Trinity College Dublin, Discipline of Radiation Therapy, Trinity St James’ Cancer Institute, , Dublin, Ireland Abstract Text Emergence of virtual learning environments (also referred to as simulated environments) in medical education has enabled educators to bring ‘real experiences’ to the classroom environment. The aim of this technology is to allow students to develop their clinical skills in a safe structured environment. Numerous educational studies demonstrate its role in effectively teaching procedural competence and clinical skills to learners in various medical specialities; however, only recently have we seen its application to radiation oncology education emerge. Simulated teaching has become more prominent in radiation therapy (RT) curricula due to the launch of ‘Virtual Environment for Radiotherapy Training’ VERTTM in 2007. This virtual RT environment features a bunker with a linear