Royal College of Radiologists Guidance Statements on the Use of Auto-contouring in Radiotherapy.

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All Authors

Mackay, K.
Banfill, K.
Bernstein, D.
Daniel, J.
Diez, P.
Gwynne, S.
Hoole, A.
Jena, R.
Marchant, T.
Nix, M.

LTHT Author

Nix, Michael
Teo, Mark
Zucker, Kieran

LTHT Department

Oncology
Medical Physics & Engineering
Leeds Cancer Centre
Clinical Oncology

Non Medic

Radiotherapy Physicist

Publication Date

2026

Item Type

Journal Article

Language

Subject

RADIOTHERAPY PLANNING, COMPUTER-ASSISTED , UNITED KINGDOM , GUIDELINES AS TOPIC , EDUCATION , ARTIFICIAL INTELLIGENCE

Subject Headings

Abstract

Auto-contouring systems are rapidly becoming more widely used for radiotherapy treatment planning. There is an acknowledged need for formal guidance to help healthcare professionals understand how to safely adopt this technology. The Royal College of Radiologists Artificial Intelligence in Clinical Oncology working group established a multi-disciplinary group of national experts in artificial intelligence and radiotherapy quality assurance (QA). This group has produced consensus recommendations for the safe use of the technology. These include model selection, clinical commissioning, day-to-day QA, and post-implementation monitoring. Other factors such as the impact on the multi-disciplinary team, education, and training are also considered. The healthcare professional approving auto-contours for use will have overall responsibility, and it is therefore of utmost importance that they have a good understanding of the risks of auto-contouring and how contours should be assessed to mitigate these risks. This guidance aims to enable healthcare professionals acting as operators of a medical device to understand what they need to know about auto-contouring, to facilitate safe adoption of this technology. Crown Copyright © 2025. Published by Elsevier Ltd. All rights reserved.

Journal

Clinical Oncology (Royal College of Radiologists)