Automation and artificial intelligence in radiation therapy treatment planning
Journal of Medical Radiation Sciences, 2023 Automation and artificial intelligence (AI) is already possible for many radiation therapy planning and treatment processes with the aim of improving workflows and increasing efficiency in radiation oncology departments.
Scott Jones +6 more
doaj +2 more sources
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning [PDF]
Artif. Intell. Medicine, 2015 Objective: Manual contouring and registration for radiotherapy treatment planning and online adaptation for cervical cancer radiation therapy in computed tomography (CT) and magnetic resonance images (MRI) are often necessary. However manual intervention
Chan, Philip +8 more
core +2 more sources
A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation. [PDF]
Radiat Oncol, 2022 We describe and evaluate a deep network algorithm which automatically contours organs at risk in the thorax and pelvis on computed tomography (CT) images for radiation treatment planning.
Marschner S +14 more
europepmc +2 more sources
Artificial intelligence applications in intensity modulated radiation treatment planning: an overview. [PDF]
Quant Imaging Med Surg, 2021 Artificial intelligence (AI) refers to methods that improve and automate challenging human tasks by systematically capturing and applying relevant knowledge in these tasks.
Sheng Y +8 more
europepmc +2 more sources
Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review. [PDF]
Radiother Oncol, 2021 Advances in artificial intelligence-based methods have led to the development and publication of numerous systems for auto-segmentation in radiotherapy. These systems have the potential to decrease contour variability, which has been associated with poor
Sherer MV +7 more
europepmc +2 more sources
Knowledge-based radiation treatment planning: A data-driven method survey. [PDF]
J Appl Clin Med Phys, 2021 This paper surveys the data‐driven dose prediction methods investigated for knowledge‐based planning (KBP) in the last decade. These methods were classified into two major categories—traditional KBP methods and deep‐learning (DL) methods—according to ...
Momin S +7 more
europepmc +3 more sources
Automated Radiation Treatment Planning for Cervical Cancer. [PDF]
Semin Radiat Oncol, 2020 The radiation treatment planning process includes contouring, planning, and reviewing the final plan, and each component requires substantial time and effort from multiple experts.
Rhee DJ +5 more
europepmc +2 more sources
Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant. [PDF]
Pract Radiat Oncol, 2021 PURPOSE Radiation treatment planning for head and neck cancer is a complex process with much variability; automated treatment planning is a promising option to improve plan quality and efficiency.
Olanrewaju A +15 more
europepmc +2 more sources
Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[18F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0. [PDF]
Eur J Nucl Med Mol Imaging, 2022 Purpose 2-[ 18 F]FDG PET/CT is of utmost importance for radiation treatment (RT) planning and response monitoring in lung cancer patients, in both non-small and small cell lung cancer (NSCLC and SCLC). This topic has been addressed in guidelines composed
Vaz SC +13 more
europepmc +2 more sources
Anatomical Information Quality Control of a Radiotherapy Treatment Planning System [PDF]
Iranian Journal of Medical Physics, 2023 Introduction: To determine radiotherapy accuracy and prevent treatment errors, quality assurance is crucial during the planning phase of radiation therapy.
Rehab Abd Elaziz +3 more
doaj +1 more source