Automation and artificial intelligence in radiation therapy treatment planning

S Jones, K Thompson, B Porter… - Journal of Medical …, 2024 - Wiley Online Library
Automation and artificial intelligence (AI) is already possible for many radiation therapy
planning and treatment processes with the aim of improving workflows and increasing …

[HTML][HTML] An open source auto-segmentation algorithm for delineating heart and substructures–Development and validation within a multicenter lung cancer cohort

A Olloni, EL Lorenzen, SS Jeppesen… - Radiotherapy and …, 2024 - Elsevier
Background and purpose Irradiation of the heart in thoracic cancers raises toxicity concerns.
For accurate dose estimation, automated heart and substructure segmentation is potentially …

Deep learning–based automatic segmentation of cardiac substructures for lung cancers

X Chen, RP Mumme, KL Corrigan… - Radiotherapy and …, 2024 - Elsevier
Purpose Accurate and comprehensive segmentation of cardiac substructures is crucial for
minimizing the risk of radiation-induced heart disease in lung cancer radiotherapy. We …

[HTML][HTML] Artificial Intelligence–Based Autosegmentation: Advantages in Delineation, Absorbed Dose-Distribution, and Logistics

GR Sarria, F Kugel, F Roehner, J Layer… - Advances in Radiation …, 2024 - Elsevier
Purpose The study's purpose was to compare the performance of artificial intelligence (AI) in
auto-contouring compared with a human practitioner in terms of precision, differences in …

[HTML][HTML] Auto-contouring of cardiac substructures for Stereotactic arrhythmia radioablation (STAR): A STOPSTORM. eu consortium study

LHG van der Pol, O Blanck, M Grehn, T Blazek… - Radiotherapy and …, 2025 - Elsevier
Abstract Background/Purpose High doses to healthy cardiac substructures (CS) in
stereotactic arrhythmia radioablation (STAR) raise concerns regarding potential treatment …

Assessment of lymph node area coverage with total marrow irradiation and implementation of total marrow and lymphoid irradiation using automated deep learning …

HS Choi, HC Kang, EK Chie, KH Shin, JH Chang… - Plos one, 2024 - journals.plos.org
Background Total marrow irradiation (TMI) and total marrow and lymphoid irradiation (TMLI)
have the advantages. However, delineating target lesions according to TMI and TMLI plans …

Cardiac substructure delineation in radiation therapy–A state‐of‐the‐art review

RN Finnegan, A Quinn, J Booth… - Journal of Medical …, 2024 - Wiley Online Library
Delineation of cardiac substructures is crucial for a better understanding of radiation‐related
cardiotoxicities and to facilitate accurate and precise cardiac dose calculation for develo** …

Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data

A Haidar, DA Mouiee, F Aly, D Thwaites… - arxiv preprint arxiv …, 2024 - arxiv.org
Standardising structure volume names in radiotherapy (RT) data is necessary to enable data
mining and analyses, especially across multi-institutional centres. This process is time and …

[HTML][HTML] PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data

P Chlap, D Al Mouiee, RN Finnegan, J Cui, V Chin… - SoftwareX, 2025 - Elsevier
The organisation, conversion, cleaning and processing of DICOM data is an ongoing
challenge across medical image analysis research projects. PyDicer (PYthon Dicom Image …

[HTML][HTML] The influence of cardiac substructure dose on survival in a large lung cancer stereotactic radiotherapy cohort using a robust personalized contour analysis

LHG van der Pol, J Pomp, FAAM Hoesein… - Physics and Imaging in …, 2024 - Elsevier
Abstract Background/Purpose: Radiation-induced cardiac toxicity in lung cancer patients
has received increased attention since RTOG 0617. However, large cohort studies with …