Radiation Planning Assistant Rpa
University Of Texas, Md Anderson Cancer Center
FDA Clearance Information
The Radiation Planning Assistant RPA was cleared by the FDA via the 510(k) pathway on May 17, 2023. It is manufactured by the University Of Texas, Md Anderson Cancer Center and classified as a Class 2 device.
What It Is
FDA-Cleared Indications
- Software for automated radiotherapy treatment planning and related contouring tasks.
- Intended to support the preparation of radiation treatment plans in clinical radiotherapy practice.
Clinical Applications
- Automated contouring of relevant anatomy for radiotherapy planning.
- Automated generation or assistance with radiotherapy treatment plans.
- Support for radiation oncology clinics with limited treatment-planning resources.
- Use as part of the clinical workflow for preparing plans that are reviewed and approved by qualified radiation oncology professionals.
Evidence Summary
Reported Outcomes
Safety Profile
Evidence Limitations
Practical Considerations
- The RPA is software rather than an implanted or handheld medical device; it is used through a web-based workflow.
- Treatment plans require review and clinical approval by qualified radiation oncology personnel before treatment.
- The software must be used with compatible imaging, patient information, treatment-planning, and radiation-delivery systems as specified by its labeling and local implementation requirements.
- MRI safety considerations apply to the imaging equipment and accessories used in the workflow, not to the web-based RPA software itself.
- The FDA clearance does not eliminate the need for institutional quality assurance, cybersecurity controls, data protection, and verification of the final treatment plan.
Frequently Asked Questions
What are the clinical indications for Radiation Planning Assistant RPA?
The RPA is indicated for use in automating radiotherapy planning, particularly in clinics with limited resources.
What outcomes have been reported in clinical studies?
Studies report improved planning efficiency and enhanced access to radiotherapy services in low-resource settings.
What complications have been reported?
Safety data indicate potential errors in automated contouring, necessitating clinician oversight.