Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients

CP Nielsen, EL Lorenzen, K Jensen, N Sarup… - Acta …, 2023 - Taylor & Francis
Abstract Background In the Danish Head and Neck Cancer Group (DAHANCA) 35 trial,
patients are selected for proton treatment based on simulated reductions of Normal Tissue …

Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk

D Thomson, C Boylan, T Liptrot, A Aitkenhead, L Lee… - Radiation …, 2014 - Springer
Background The accurate definition of organs at risk (OARs) is required to fully exploit the
benefits of intensity-modulated radiotherapy (IMRT) for head and neck cancer. However …

[HTML][HTML] Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

LV Van Dijk, L Van den Bosch, P Aljabar… - Radiotherapy and …, 2020 - Elsevier
Introduction Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN
radiotherapy and for investigating the relationships between radiation dose to OARs and …

Interobserver variability in organ at risk delineation in head and neck cancer

J van der Veen, A Gulyban, S Willems, F Maes… - Radiation …, 2021 - Springer
Background In radiotherapy inaccuracy in organ at risk (OAR) delineation can impact
treatment plan optimisation and treatment plan evaluation. Brouwer et al. showed significant …

[HTML][HTML] External validation of deep learning-based contouring of head and neck organs at risk

EJL Brunenberg, IK Steinseifer… - Physics and imaging in …, 2020 - Elsevier
Background and purpose Head and neck (HN) radiotherapy can benefit from automatic
delineation of tumor and surrounding organs because of the complex anatomy and the …

[HTML][HTML] Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity

A Ayyalusamy, S Vellaiyan… - Radiation Oncology …, 2019 - ncbi.nlm.nih.gov
Purpose The aim is to study the dependence of deformable based auto-segmentation of
head and neck organs-at-risks (OAR) on anatomy matching for a single atlas based system …

Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function

CE Cardenas, RE McCarroll, LE Court… - International Journal of …, 2018 - Elsevier
Purpose Automating and standardizing the contouring of clinical target volumes (CTVs) can
reduce interphysician variability, which is one of the largest sources of uncertainty in head …

Autodelineation of organ at risk in head and neck cancer radiotherapy using artificial intelligence

RS Bilimagga, P Anchineyan, S Thalluri… - Journal of Cancer …, 2022 - journals.lww.com
Aim: The aim of this study is to check the practical feasibility of artificial intelligence for day-to-
day operations and how it generalizes when the data have considerable interobserver …

[HTML][HTML] Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy

CL Brouwer, D Boukerroui, J Oliveira, P Looney… - Physics and imaging in …, 2020 - Elsevier
Background and purpose Auto-contouring performance has been widely studied in
development and commissioning studies in radiotherapy, and its impact on clinical workflow …

[HTML][HTML] Interobserver variation in organs at risk contouring in head and neck cancer according to the DAHANCA guidelines

CP Nielsen, EL Lorenzen, K Jensen, JG Eriksen… - Radiotherapy and …, 2024 - Elsevier
Organs at risk (OARs) contouring is an important but time-consuming process in
radiotherapy. OARs are continuously added to the national guidelines to minimise dose to …