Groote Schuur Hospital and University of Cape Town
2 ARTICLES PUBLISHED IN JoVE
Medicine
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
Laurence E. Court 1, Kelly Kisling 1, Rachel McCarroll 1, Lifei Zhang 1, Jinzhong Yang 1, Hannah Simonds 2, Monique du Toit 2, Chris Trauernicht 2, Hester Burger 3, Jeannette Parkes 3, Mike Mejia 4, Maureen Bojador 4, Peter Balter 1, Daniela Branco 1, Angela Steinmann 1, Garrett Baltz 1, Skylar Gay 1, Brian Anderson 1, Carlos Cardenas 1, Anuja Jhingran 5, Simona Shaitelman 5, Oliver Bogler 6, Kathleen Schmeller 7, David Followill 1, Rebecca Howell 1, Christopher Nelson 1, Christine Peterson 8, Beth Beadle 5,9
1Department of Radiation Physics, University of Texas MD Anderson Cancer Center, 2Department of Radiation Oncology, Stellenbosch University and Tygerberg Hospital, 3Departments of Radiation Oncology and Medical Physics, Groote Schuur Hospital and University of Cape Town, 4Department of Radiation Oncology, University of Santo Tomas Hospital, Benavides Cancer Institute, 5Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, 6Academic Affairs, University of Texas MD Anderson Cancer Center, 7Department of Gynecological Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, 8Department of Biostatistics, University of Texas MD Anderson Cancer Center, 9Department of Radiation Oncology, Stanford University
Radiation therapy is a highly complex cancer treatment that requires multiple specialists to create a treatment plan and provide quality assurance (QA) prior to delivery to a patient. This protocol describes the use of a fully automated system, the Radiation Planning Assistant (RPA), to create high-quality radiation treatment plans.
Medicine
Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
Laurence Edward Court 1, Ajay Aggarwal 2, Hester Burger 3, Carlos Cardenas 4, Christine Chung 1, Raphael Douglas 1, Monique du Toit 5, Anuja Jhingran 1, Raymond Mumme 1, Sikudhani Muya 6, Komeela Naidoo 5, Jerry Ndumbalo 6, Tucker Netherton 1, Callistus Nguyen 1, Adenike Olanrewaju 1, Jeannette Parkes 3, Willie Shaw 7, Christoph Trauernicht 5, Melody Xu 8, Jinzhong Yang 1, Lifei Zhang 1, Hannah Simonds 9, Beth M. Beadle 10
1The University of Texas MD Anderson Cancer Center, 2Guy’s and St. Thomas’ Hospital, 3Groote Schuur Hospital and University of Cape Town, 4University of Alabama at Birmingham, 5Tygerberg Hospital and Stellenbosch University, 6Ocean Road Cancer Institute, 7University of the Free State, 8University of California-San Francisco, 9University Hospitals Plymouth NHS Trust, 10Stanford University
This protocol describes a series of automated tools designed for high-quality radiotherapy autocontouring and autoplanning that are being packaged into a web-based service to maximize robustness and scalability while minimizing operational costs.
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