Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical …

L Boldrini, A D'Aviero, F De Felice, I Desideri… - La radiologia …, 2024 - Springer
Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …

Proof‐of‐concept study of artificial intelligence‐assisted review of CBCT image guidance

J Neylon, DC Luximon, T Ritter… - Journal of Applied …, 2023 - Wiley Online Library
Purpose Automation and computer assistance can support quality assurance tasks in
radiotherapy. Retrospective image review requires significant human resources, and …

Automated detection of vertebral body misalignments in orthogonal kV and MV guided radiotherapy: application to a comprehensive retrospective dataset

JA Charters, D Luximon, R Petragallo… - Biomedical Physics …, 2024 - iopscience.iop.org
Objective. In image-guided radiotherapy (IGRT), off-by-one vertebral body misalignments
are rare but potentially catastrophic. In this study, a novel detection method for such …

[HTML][HTML] Feasibility of a deep-learning based anatomical region labeling tool for Cone-Beam Computed Tomography scans in radiotherapy

DC Luximon, J Neylon, JM Lamb - Physics and Imaging in Radiation …, 2023 - Elsevier
Background and purpose Currently, there is no robust indicator within the Cone-Beam
Computed Tomography (CBCT) DICOM headers as to which anatomical region is present …

Results of an AI-based image review system to detect patient misalignment errors in a multi-institutional database of CBCT-guided radiotherapy treatments

DC Luximon, J Neylon, T Ritter, N Agazaryan… - 2024 - escholarship.org
PurposePresent knowledge of patient setup and alignment errors in image guided radiation
therapy (IGRT) relies on voluntary reporting, which is thought to underestimate error …

Results of an Artificial Intelligence–Based Image Review System to Detect Patient Misalignment Errors in a Multi-institutional Database of Cone Beam Computed …

DC Luximon, J Neylon, T Ritter, N Agazaryan… - International Journal of …, 2024 - Elsevier
Purpose Present knowledge of patient setup and alignment errors in image guided radiation
therapy (IGRT) relies on voluntary reporting, which is thought to underestimate error …

Consolidating the Safety of Cone-Beam Computed Tomography Guided Radiotherapy through a Deep Learning-Based Patient Setup Error Detection System.

DC Luximon - 2024 - escholarship.org
Although safety procedures are in place within the radiation therapy (RT) workflow, incidents
are still occurring due to human errors. To enhance patient safety, it is critical to identify and …

[图书][B] Automated Patient Safety Management and Quality Control in Radiation Therapy

JA Charters - 2024 - search.proquest.com
The research aims presented in this dissertation are centered on broad themes of improving
automation and error detection in radiation oncology. The first aim was to create a …

Image Guided Radiotherapy Safety: Automated Error Detection and Human Factors of Clinical Integration

RM Petragallo - 2024 - escholarship.org
The introduction of image guided radiation therapy (IGRT), defined as regular patient
imaging during the course of a radiation therapy treatment regimen, has resulted in …

A report of radiotherapy setup errors in pelvic and mediastinal tumors

N Hasoomi, A Azizi, SA Ranjbar - Advances in Bioengineering …, 2023 - opastpublishers.com
Introduction: Radiation therapy as an important step in treatment of cancer which demands
accuracy. Patient setup is a challenging job in the radiation therapy process. The Variation …