Radiation planning assistant - A streamlined, fully automated radiotherapy treatment planning system

Laurence E. Court, Kelly Kisling, Rachel McCarroll, Lifei Zhang, Jinzhong Yang, Hannah Simonds, Monique du Toit, Chris Trauernicht, Hester Burger, Jeannette Parkes, Mike Mejia, Maureen Bojador, Peter Balter, Daniela Branco, Angela Steinmann, Garrett Baltz, Skylar Gay, Brian Anderson, Carlos Cardenas, Anuja JhingranSimona Shaitelman, Oliver Bogler, Kathleen Schmeller, David Followill, Rebecca Howell, Christopher Nelson, Christine Peterson, Beth Beadle

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

The Radiation Planning Assistant (RPA) is a system developed for the fully automated creation of radiotherapy treatment plans, including volume-modulated arc therapy (VMAT) plans for patients with head/neck cancer and 4-field box plans for patients with cervical cancer. It is a combination of specially developed in-house software that uses an application programming interface to communicate with a commercial radiotherapy treatment planning system. It also interfaces with a commercial secondary dose verification software. The necessary inputs to the system are a Treatment Plan Order, approved by the radiation oncologist, and a simulation computed tomography (CT) image, approved by the radiographer. The RPA then generates a complete radiotherapy treatment plan. For the cervical cancer treatment plans, no additional user intervention is necessary until the plan is complete. For head/neck treatment plans, after the normal tissue and some of the target structures are automatically delineated on the CT image, the radiation oncologist must review the contours, making edits if necessary. They also delineate the gross tumor volume. The RPA then completes the treatment planning process, creating a VMAT plan. Finally, the completed plan must be reviewed by qualified clinical staff.

Original languageEnglish (US)
Article numbere57411
JournalJournal of Visualized Experiments
Volume2018
Issue number134
DOIs
StatePublished - Apr 12 2018

Keywords

  • Automated treatment planning
  • Automation
  • Issue 134
  • Medicine
  • Plan checks
  • Quality assurance
  • Radiation therapy
  • Treatment planning

ASJC Scopus subject areas

  • General Neuroscience
  • General Chemical Engineering
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

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