RayStation
Overview
RayStation® is a flexible and innovative treatment planning system (TPS) developed by RaySearch Laboratories, designed to significantly enhance the efficiency and precision of radiation therapy for cancer patients. It is utilized by leading cancer centers worldwide to streamline complex planning processes and optimize treatment outcomes across a broad spectrum of modalities.
The system integrates advanced capabilities such as automated treatment planning driven by sophisticated machine learning and deep learning algorithms. This includes features like automated organ segmentation, plan-generating protocols, scripting, and the Plan Explorer module, which allows for rapid generation and comparison of multiple treatment plans. RayStation supports a wide array of treatment techniques, including 3D-CRT, IMRT, VMAT, electron therapy, helical TomoTherapy, CyberKnife, proton therapy, carbon-ion therapy, and Boron Neutron Capture Therapy (BNCT).
A core strength of RayStation lies in its adaptive therapy capabilities, featuring modules for dose tracking, deformable registration, and adaptive re-planning. This enables clinicians to account for anatomical changes during the course of treatment, ensuring continuous optimization and personalization of patient care. The system also boasts ultrafast and accurate dose computations, including Monte Carlo algorithms, which allow for efficient assessment of various treatment scenarios.
RayStation is designed for high connectivity and interoperability, compatible with most commercially available linear accelerators, Oncology Information Systems (OIS), and third-party Quality Assurance (QA) systems. Its data model is fully compatible with the DICOM standard, facilitating seamless import and export of DICOM RT objects. Furthermore, it supports standard protocols like HL7 and FHIR for data exchange with other hospital information systems, including tight integration with RaySearch’s own oncology information system, RayCare.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated Treatment Planning (Machine Learning & Deep Learning)
- Adaptive Radiation Therapy (Dose Tracking, Deformable Registration, Re-planning)
- Multi-Criteria Optimization (MCO)
- Support for diverse treatment machines (Linacs, Proton, Carbon-ion, TomoTherapy, CyberKnife)
- Fast and Accurate Dose Computations (Monte Carlo)
- Deep Learning Segmentation
- Plan Explorer for treatment plan comparison
- Scripting for workflow automation (IronPython, CPython)
- Brachytherapy Planning Support
- Upright Treatment Planning Support
Use Cases
- Comprehensive radiation therapy treatment planning
- Adaptive radiation therapy for anatomical changes
- Automated organ and target volume segmentation
- Dose tracking and accumulation
- Quality assurance for treatment plans
- Research and data analysis in radiation oncology
What Physicians Need to Know
To maximize the benefits of RayStation, physicians should actively engage with its multi-criteria optimization (MCO) module to explore various treatment plan trade-offs and make informed decisions that best balance tumor coverage and organ-at-risk sparing. Leverage the system's extensive automation tools, including scripting, protocols, and templates, to enhance planning efficiency and consistency for routine cases, freeing up time for more complex scenarios and patient consultations. Fully utilize the adaptive therapy capabilities for dose tracking and replanning to dynamically adjust to anatomical changes during the course of treatment, ensuring optimal patient outcomes. Always review and approve auto-generated contours and treatment plans, maintaining clinical oversight while benefiting from the system's productivity enhancements. Exercise caution and thoroughly review any user-defined overrides for material properties or safety parameters, particularly in complex particle therapy planning, to ensure accuracy and patient safety.
RayStation is designed for extensive interoperability, offering high connectivity with a wide array of linear accelerators, Oncology Information Systems (OIS), and third-party Quality Assurance (QA) systems, all facilitated by its full compatibility with the DICOM standard for seamless data exchange. Key integrations include Accuray treatment delivery systems (CyberKnife, TomoTherapy, Radixact) and RaySearch's own OIS, RayCare, which together provide a comprehensive ecosystem for radiation oncology workflow management and adaptive therapy. Its robust scripting capabilities (Python, C#) allow for custom integrations with other treatment planning systems, such as automated AI-based auto-contouring with Eclipse, and enable flexible data exchange beyond standard DICOM. Furthermore, automated interfaces with surface guidance systems like Vision RT's MapRT enhance planning safety by providing real-time clearance maps for complex non-coplanar treatments.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing |
Enterprise
|
| Deployment | On premise |
| Mobile App | None |
| API Available | Yes |
| Data Export | Yes |
| Languages | English |
| Training | Yes |
| Target Size | Solo to large health systems |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Cleared AI-estimated — 510(k) number: K222312 (for RayStation 12A) |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
Social Proof
| Customers | 1000+ cancer centers in 44 countries (as of Jan 2024) |
| Notable | Massachusetts General HospitalWest German Proton Therapy Center EssenPrincess Margaret Cancer CentreMoffitt Cancer CenterChina Japan Friendship HospitalUniversity of Tokyo HospitalYonsei Cancer Center |
Support & Reliability
| Training Provided | Yes |
What the Web Says
RayStation is a highly regarded radiation therapy treatment planning system, particularly favored by medical physicists and radiation oncologists for its advanced capabilities and intuitive interface. It aims to deliver an unmatched user experience and leading functionality, with a strong focus on improving treatment quality and speeding up planning processes. The system is designed for extensive interoperability with various linear accelerators, Oncology Information Systems (OIS), and third-party Quality Assurance (QA) systems.
Overall: PositiveStrengths
- Intuitive and user-friendly interface, often described as cleaner and easier to adapt than competitors.
- Highly customizable and flexible, especially with Python scripting capabilities, allowing for automation and streamlined workflows.
- Advanced features like Multi-Criteria Optimization (MCO), Plan Explorer, deformable registration, and 4D adaptive radiation therapy.
- Ultrafast and accurate dose computations, including Monte Carlo algorithms, which are particularly advantageous for advanced techniques and tissue heterogeneities.
- Seamless integration with various treatment delivery systems and high connectivity with most commercially available linear accelerators and OIS.
- Strong focus on continuous development and innovation, including machine learning for automated segmentation and treatment planning.
Limitations
- Can be expensive, especially with additional licenses and features.
- Learning curve can be steep for new users, though some find it easier than competing systems.
- Potential hiccups when exporting data to non-RaySearch systems, particularly Varian machines, due to vendor ecosystems.
- Some users have reported that plan review can be clumsy, lacking quick ways to see if clinical goals are met.
- Optimization can be slow in some complex cases, such as H&N planning with many constraints.
- Concerns about integration complexity and training costs for hospital administrators, despite technical excellence.
Based on reviews from: Reddit, RaySearch Laboratories (Customer Stories), Physician AI Tools, PubMed, American Society for Radiation Oncology (ASTRO), MDPI, Google Groups
Last updated: 2026-07-19
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Videos
Product demos, reviews, and walkthroughs for RayStation.
Office Hours with David Pudwill - UCSD Regulatory Submissions for Medical Devices on June 29, 2024
Mr. Regulatory
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