Automation in intensity modulated radiotherapy treatment planning—a review of recent innovations

M Hussein, BJM Heijmen, D Verellen… - The British journal of …, 2018 - academic.oup.com
Radiotherapy treatment planning of complex radiotherapy techniques, such as intensity
modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive …

[HTML][HTML] Quality assurance for AI-based applications in radiation therapy

M Claessens, CS Oria, CL Brouwer, BP Ziemer… - Seminars in radiation …, 2022 - Elsevier
Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT)
and their integration into modern software-based systems raise new challenges to the …

[HTML][HTML] Phase I trial of stereotactic MR-guided online adaptive radiation therapy (SMART) for the treatment of oligometastatic or unresectable primary malignancies of …

L Henke, R Kashani, C Robinson, A Curcuru… - Radiotherapy and …, 2018 - Elsevier
Purpose/objectives SBRT is used to treat oligometastatic or unresectable primary abdominal
malignancies, although ablative dose delivery is limited by proximity of organs-at-risk (OAR) …

[HTML][HTML] Stereotactic MR-guided online adaptive radiation therapy (SMART) for ultracentral thorax malignancies: results of a phase 1 trial

LE Henke, JR Olsen, JA Contreras, A Curcuru… - Advances in radiation …, 2019 - Elsevier
Purpose Stereotactic body radiation therapy (SBRT) is an effective treatment for
oligometastatic or unresectable primary malignancies, although target proximity to organs at …

[HTML][HTML] Magnetic resonance imaging-guided adaptive radiation therapy: a “game changer” for prostate treatment?

AU Pathmanathan, NJ van As, LGW Kerkmeijer… - International Journal of …, 2018 - Elsevier
Radiation therapy to the prostate involves increasingly sophisticated delivery techniques
and changing fractionation schedules. With a low estimated α/β ratio, a larger dose per …

Strategies for effective physics plan and chart review in radiation therapy: Report of AAPM Task Group 275

E Ford, L Conroy, L Dong, LF de Los Santos… - Medical …, 2020 - Wiley Online Library
Background While the review of radiotherapy treatment plans and charts by a medical
physicist is a key component of safe, high‐quality care, very few specific recommendations …

CNN-based quality assurance for automatic segmentation of breast cancer in radiotherapy

X Chen, K Men, B Chen, Y Tang, T Zhang… - Frontiers in …, 2020 - frontiersin.org
Purpose: More and more automatic segmentation tools are being introduced in routine
clinical practice. However, physicians need to spend a considerable amount of time in …

Contouring quality assurance methodology based on multiple geometric features against deep learning auto‐segmentation

J Duan, ME Bernard, JR Castle, X Feng… - Medical …, 2023 - Wiley Online Library
Background Contouring error is one of the top failure modes in radiation treatment. Multiple
efforts have been made to develop tools to automatically detect segmentation errors. Deep …

Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation …

M Claessens, V Vanreusel, G De Kerf… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. The output of a deep learning (DL) auto-segmentation application should be
reviewed, corrected if needed and approved before being used clinically. This verification …

Quality assurance for automatically generated contours with additional deep learning

LJ Isaksson, P Summers, A Bhalerao, S Gandini… - Insights into …, 2022 - Springer
Objective Deploying an automatic segmentation model in practice should require rigorous
quality assurance (QA) and continuous monitoring of the model's use and performance …