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. Court¹, Kelly Kisling¹, Rachel McCarroll¹, Lifei Zhang¹, Jinzhong Yang¹, Hannah Simonds², Monique du Toit², Chris Trauernicht², Hester Burger³, Jeannette Parkes³, Mike Mejia⁴, Maureen Bojador⁴, Peter Balter¹, Daniela Branco¹, Angela Steinmann¹, Garrett Baltz¹, Skylar Gay¹, Brian Anderson¹, Carlos Cardenas¹, Anuja Jhingran⁵, Simona Shaitelman⁵, Oliver Bogler⁶, Kathleen Schmeller⁷, David Followill¹, Rebecca Howell¹, Christopher Nelson¹, Christine Peterson⁸, 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 Court¹, Ajay Aggarwal², Hester Burger³, Carlos Cardenas⁴, Christine Chung¹, Raphael Douglas¹, Monique du Toit⁵, Anuja Jhingran¹, Raymond Mumme¹, Sikudhani Muya⁶, Komeela Naidoo⁵, Jerry Ndumbalo⁶, Tucker Netherton¹, Callistus Nguyen¹, Adenike Olanrewaju¹, Jeannette Parkes³, Willie Shaw⁷, Christoph Trauernicht⁵, Melody Xu⁸, Jinzhong Yang¹, Lifei Zhang¹, Hannah Simonds⁹, Beth M. Beadle¹⁰

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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