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Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources.
Court, Laurence Edward; Aggarwal, Ajay; Burger, Hester; Cardenas, Carlos; Chung, Christine; Douglas, Raphael; du Toit, Monique; Jhingran, Anuja; Mumme, Raymond; Muya, Sikudhani; Naidoo, Komeela; Ndumbalo, Jerry; Netherton, Tucker; Nguyen, Callistus; Olanrewaju, Adenike; Parkes, Jeannette; Shaw, Willie; Trauernicht, Christoph; Xu, Melody; Yang, Jinzhong; Zhang, Lifei; Simonds, Hannah; Beadle, Beth M.
Afiliación
  • Court LE; The University of Texas MD Anderson Cancer Center; lecourt@mdanderson.org.
  • Aggarwal A; Guy's and St. Thomas' Hospital.
  • Burger H; Groote Schuur Hospital and University of Cape Town.
  • Cardenas C; University of Alabama at Birmingham.
  • Chung C; The University of Texas MD Anderson Cancer Center.
  • Douglas R; The University of Texas MD Anderson Cancer Center.
  • du Toit M; Tygerberg Hospital and Stellenbosch University.
  • Jhingran A; The University of Texas MD Anderson Cancer Center.
  • Mumme R; The University of Texas MD Anderson Cancer Center.
  • Muya S; Ocean Road Cancer Institute.
  • Naidoo K; Tygerberg Hospital and Stellenbosch University.
  • Ndumbalo J; Ocean Road Cancer Institute.
  • Netherton T; The University of Texas MD Anderson Cancer Center.
  • Nguyen C; The University of Texas MD Anderson Cancer Center.
  • Olanrewaju A; The University of Texas MD Anderson Cancer Center.
  • Parkes J; Groote Schuur Hospital and University of Cape Town.
  • Shaw W; University of the Free State.
  • Trauernicht C; Tygerberg Hospital and Stellenbosch University.
  • Xu M; University of California-San Francisco.
  • Yang J; The University of Texas MD Anderson Cancer Center.
  • Zhang L; The University of Texas MD Anderson Cancer Center.
  • Simonds H; University Hospitals Plymouth NHS Trust.
  • Beadle BM; Stanford University.
J Vis Exp ; (200)2023 10 06.
Article en En | MEDLINE | ID: mdl-37870317
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia de Intensidad Modulada / Neoplasias Límite: Humans Idioma: En Revista: J Vis Exp Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia de Intensidad Modulada / Neoplasias Límite: Humans Idioma: En Revista: J Vis Exp Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos