ESTRO 2024 - Abstract Book

S5828

RTT - Education, training, advanced practice and role developments

ESTRO 2024

2. Royal College of Radiologists (2022) Clinical Oncology Workforce Census 2022. https://www.rcr.ac.uk/clinical oncology/rcr-clinical-oncology-workforce-census-2022

3. National Health Service (2023). The long-term workforce plan. https://www.england.nhs.uk/publication/nhs-long term-workforce-plan/

4. Clarkson, M. McDonald, F. Khine, R. (2024) Local evaluation of the development and implementation of the non surgical oncology advanced practice curriculum framework. The International Journal for Advancing Practice. Awaiting Publication.

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Digital Poster

The RTT role in radiomics: a comprehensive assessment of professional characteristics and expertise

Claudio Votta, Elena H. Tran, Gabriele Turco, Marica Vagni, Patrizia Cornacchione, Maria Antonietta Gambacorta, Vincenzo Valentini, Luca Boldrini

Fondazione Policlinico Universitario A. Gemelli IRCCS, Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Roma, Italy

Purpose/Objective:

Artificial intelligence (AI) in healthcare has led to the emergence of radiomics, which involves the extraction of quantitative features from medical images to aid in disease characterization, treatment response assessment, and prognostication. Radiomic analysis can offer a non-invasive and cost-effective approach to personalized medicine, enabling clinicians to make decisions that are more informed by leveraging the vast amount of data contained within medical images. Radiomics workflow relies on the collaboration of multidisciplinary teams consisting of medical specialists, medical imaging specialists, and medical imaging scientists (Figure 1). In this context, Radiation Therapy Technologists (RTT) may be a crucial component of the process thanks to their expertise in medical imaging techniques, image acquisition, and image segmentation.

This research aimed to comprehensively understand the professional characteristics and expertise of RTTs and identify their potential contributions to the workflow of radiomic analyses.