TY - JOUR
T1 - Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
AU - Court, Laurence Edward
AU - Aggarwal, Ajay
AU - Burger, Hester
AU - Cardenas, Carlos
AU - Chung, Christine
AU - Douglas, Raphael
AU - du Toit, Monique
AU - Jhingran, Anuja
AU - Mumme, Raymond
AU - Muya, Sikudhani
AU - Naidoo, Komeela
AU - Ndumbalo, Jerry
AU - Netherton, Tucker
AU - Nguyen, Callistus
AU - Olanrewaju, Adenike
AU - Parkes, Jeannette
AU - Shaw, Willie
AU - Trauernicht, Christoph
AU - Xu, Melody
AU - Yang, Jinzhong
AU - Zhang, Lifei
AU - Simonds, Hannah
AU - Beadle, Beth M.
N1 - Publisher Copyright:
© 2023 JoVE Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
PY - 2023/10
Y1 - 2023/10
N2 - Access to radiotherapy worldwide is limited. The Radiation Planning Assistant (RPA) is a fully automated, web-based tool that is being developed to offer fully automated radiotherapy treatment planning tools to clinics with limited resources. The goal is to help clinical teams scale their efforts, thus reaching more patients with cancer. The user connects to the RPA via a webpage, completes a Service Request (prescription and information about the radiotherapy targets), and uploads the patient's CT image set. The RPA offers two approaches to automated planning. In one-step planning, the system uses the Service Request and CT scan to automatically generate the necessary contours and treatment plan. In two-step planning, the user reviews and edits the automatically generated contours before the RPA continues to generate a volume-modulated arc therapy plan. The final plan is downloaded from the RPA website and imported into the user's local treatment planning system, where the dose is recalculated for the locally commissioned linac; if necessary, the plan is edited prior to approval for clinical use.
AB - Access to radiotherapy worldwide is limited. The Radiation Planning Assistant (RPA) is a fully automated, web-based tool that is being developed to offer fully automated radiotherapy treatment planning tools to clinics with limited resources. The goal is to help clinical teams scale their efforts, thus reaching more patients with cancer. The user connects to the RPA via a webpage, completes a Service Request (prescription and information about the radiotherapy targets), and uploads the patient's CT image set. The RPA offers two approaches to automated planning. In one-step planning, the system uses the Service Request and CT scan to automatically generate the necessary contours and treatment plan. In two-step planning, the user reviews and edits the automatically generated contours before the RPA continues to generate a volume-modulated arc therapy plan. The final plan is downloaded from the RPA website and imported into the user's local treatment planning system, where the dose is recalculated for the locally commissioned linac; if necessary, the plan is edited prior to approval for clinical use.
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U2 - 10.3791/65504
DO - 10.3791/65504
M3 - Article
C2 - 37870317
AN - SCOPUS:85174717685
SN - 1940-087X
VL - 2023
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 200
M1 - e65504
ER -