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Safety and Efficiency Analysis of Operational Decision-Making During Cone Beam Computed Tomography-Based Online Adaptive Radiation Therapy.

Authors :
Wong, Lawrence M.
Byrne, Mikel
van Dieren, Erik
Zwart, Lisanne
Ray, Xenia
Harms, Joseph
Aland, Trent
Stanley, Dennis
Pawlicki, Todd
Source :
International Journal of Radiation Oncology, Biology, Physics. Jul2024, Vol. 119 Issue 4, p1307-1316. 10p.
Publication Year :
2024

Abstract

Cone beam computed tomography (CBCT)-based online adaptive radiation therapy (ART) is especially beneficial for patients with large interfractional anatomic changes. However, treatment planning and review decisions need to be made at the treatment console in real-time and may be delegated to clinical staff whose conventional scope of practice does not include making such decisions. Therefore, implementation can create new safety risks and inefficiencies. The objective of this work is to systematically analyze the safety and efficiency implications of human decision-making during the treatment session for CBCT-based online ART. The analysis was performed by applying the Systems-Theoretical Process Analysis technique and its extension for human decision-making. Four centers of different CBCT-based online ART practice models comprised the analysis team. The general radiation therapy control structure was refined to model the interactions between routine treatment delivery staff and in-person or remote support staff. The treatment delivery staff perform 6 key control actions. Eighteen undesirable states of those control actions were identified as affecting safety and/or efficiency. In turn, 97 hazardous clinical scenarios were identified, with the control action "prepare and position patient" having the least number of scenarios and "delineate/edit influencer and target structures" having the most. Five of these are specific to either in-person or remote support during the treatment session, and 12 arise from staff support in general. An optimally safe and efficient online ART program should require little to no support staff at the treatment console to reduce staff coordination. Uptraining of the staff already at the treatment console is needed to achieve this goal. Beyond the essential knowledge and skills such as contour editing and the selection of an optimal plan, uptraining should also target the specific cognitive biases identified in this work and the cognitive strategies to overcome these biases. Additionally, technological and organizational changes are necessary. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03603016
Volume :
119
Issue :
4
Database :
Academic Search Index
Journal :
International Journal of Radiation Oncology, Biology, Physics
Publication Type :
Academic Journal
Accession number :
177877024
Full Text :
https://doi.org/10.1016/j.ijrobp.2024.01.223