The quantitative impact of joint peer review with a specialist radiologist in head and neck cancer radiotherapy planning.

Objectives: Radiologist input in peer review of head and neck radiotherapy has been introduced as a routine departmental approach. The aim was to evaluate this practice and to quantitatively analyse the changes made.

Methods: Patients treated with radical-dose radiotherapy between August and November 2020 were reviewed.

Automatic evaluation of contours in radiotherapy planning utilising conformity indices and machine learning.

Background And Purpose: Peer-review of Target Volume (TV) and Organ at Risk (OAR) contours in radiotherapy planning are typically conducted visually; this can be time consuming and subject to interobserver variation. This study investigated automatic evaluation of contouring using conformity indices and supervised machine learning.

Methods: A total of 393 contours from 253 Stereotactic Ablative Body Radiotherapy (SABR) benchmark cases (adrenal gland, liver, pelvic lymph node and spine), delineated by 132 clinicians from 25 centres, were visually evaluated for conformity against gold standard contours.