ESTRO 2025 - Abstract Book

S128

Invited Speaker

ESTRO 2025

Radiotherapy, Catharina Hospital, Eindhoven, Netherlands

Abstract:

In this teaching lecture I will discuss autosegmentation and give an overview of the steps of implementation in our hospital. I will also give some examples of autosegmentation and which QA we use. Furthermore I will give our opinion about working with autosegmentation. At the end I will talk about an autosegmentation project at the MR Linac.

4863

Speaker Abstracts How to (critically) read a paper? Ane Appelt Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom. Leeds Cancer Centre, Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom Abstract: Reading literature related to radiation oncology is crucial for researchers and clinicians, yet peer review alone doesn’t guarantee quality. This teaching lecture will aim to equip young professionals with essential skills to critically evaluate published research. Participants will learn practical techniques to assess methodologies (such as prospective study registration, use of clinical trial registries, and protocol review), evaluate and analyse findings (including reporting check lists), and determine the relevance of research to clinical or professional practice. Common pitfalls in study design and reporting will be explored - including endpoint switching; multiple testing, p-hacking, and data dredging; selective reporting; biases in patient evaluation; and more. We will particularly focus on clinical trial publications and on studies using artificial intelligence / machine learning, with examples from radiation oncology. Attendees will learn to read with both clinical and reviewer perspectives, avoid common pitfalls, and contribute actively to scientific dialogue.

4865

Speaker Abstracts Treatment planning and technical aspects Natalia Tejedor Aguilar Medical Physics and Radiation Protection, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain

Abstract:

Introduction Spatially fractionated radiotherapy (SFRT) is a century-old technique that employs a non-uniform dose distribution, effectively triggering immune responses in tumors while minimizing damage to surrounding healthy tissues, especially in large and radioresistant tumors. Recent technological advancements have sparked renewed interest in the application of SFRT. However, limited clinical evidence has led to hesitancy among clinicians in widely adopting the technique. Most available evidence comes from small case reports and retrospective studies, with a lack of large randomized clinical trials, which are still in early stages. Furthermore, the absence of standardized technical guidelines and specialized training due to its inherent complexity present additional challenges to its implementation.