RayStation 12A
Overview
RayStation 12A is an advanced, flexible, and innovative treatment planning system (TPS) developed by RaySearch Laboratories AB (publ) for radiation oncology. It is designed to support comprehensive cancer treatment planning across a wide variety of treatment techniques, including photon, electron, proton, carbon ion, helium ion, BNCT, and brachytherapy. The system integrates unique features such as unmatched adaptive therapy capabilities, multi-criteria optimization (MCO), and market-leading algorithms for treatment plan optimization. RayStation 12A leverages artificial intelligence, notably through deep learning segmentation, to automate and streamline the contouring of organs, significantly reducing planning time. It also features robust evaluation on multiple images, new and faster electron Monte Carlo dose engines, and improvements for CyberKnife planning. The software is compatible with most commercially available linear accelerators, oncology information systems (OIS), and third-party quality assurance (QA) systems, ensuring high connectivity and a harmonized treatment planning workflow.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Deep learning segmentation for automated organ contouring
- Multi-criteria optimization for real-time clinical trade-offs
- Adaptive therapy capabilities and dose tracking
- Support for various treatment techniques (photon, electron, proton, carbon ion, helium ion, BNCT, brachytherapy)
- Fast and accurate Monte Carlo dose engines
- Automated treatment planning with Plan Explorer and ECHO algorithm
- Scripting interface (IronPython/CPython) for customization and automation
- Robust evaluation on multiple images and CyberKnife planning improvements
- DICOM standard compatibility for data import and export
- Hardware independence and flexible deployment options
Use Cases
- External beam radiation therapy planning
- Proton and ion beam therapy planning
- HDR brachytherapy planning
- Adaptive radiation therapy workflows
- Patient modeling and anatomical segmentation
- Treatment plan evaluation and quality assurance preparation
Details
| Category | Oncology AI |
| Pricing | Contact for pricing |
| Deployment | Flexible deployment options including at-desk clients or shared-server solutions; remote access via virtualization techniques like Citrix Virtual Apps and Desktops. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated RayStation 12A received US FDA 510(k) clearance (K222312) on March 29, 2023, classified as a Radiation Therapy Treatment Planning System. The device complies with the FDA guideline 1825 for cybersecurity in medical devices and Medical Device Regulation (MDR) 2017/745. A Class 2 Device Recall (Z-1105-2026) was initiated in November 2025 for RayStation 12A, 12A SP1, and 12A SP2 due to a potential for invalidation of calculated radiation dose for certain Regions of Interest (ROIs) under specific conditions, with a resolution planned for a subsequent version. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology |
What the Web Says
RayStation 12A is an advanced treatment planning system for radiation therapy and medical oncology, launched by RaySearch Laboratories. It introduces deep learning segmentation for all users, aiming to significantly reduce contouring time for organs and automate treatment planning. The system also includes new features for brachytherapy, a faster electron Monte Carlo dose engine, and improvements for CyberKnife planning. While some studies suggest it may be outperformed by other systems in specific scenarios, it is generally praised by medical physicists and radiation oncologists for its efficiency, intuitive interface, and advanced capabilities.
Overall: PositiveStrengths
- Deep learning segmentation for all users, reducing contouring time and automating planning.
- New features for brachytherapy planning, including support for Elekta Flexitron afterloaders.
- Faster electron Monte Carlo dose engine.
- Improvements for CyberKnife planning.
- Robust evaluation on multiple images.
- Intuitive and user-friendly interface with a homogenous workflow.
Limitations
- May not fully utilize all features in all clinics.
- Integration challenges with hardware and software from competing vendors.
- Steep learning curve for fully leveraging advanced features like scripting.
- In some specific comparisons, other TPS (e.g., Eclipse for prostate RT MCO, Precision for certain CyberKnife brain metastases) showed better performance or plan quality.
- RayStation 12A does not allow integrated use of its ML knowledge-based planning function with MCO.
Based on reviews from: accessdata.fda.gov, RaySearch Laboratories, AuntMinnie, Imaging Technology News, ResearchGate, PMC, reposiTUm, IPEM, Precedence Research
Last updated: 2026-07-18
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