Medscape Medical NewsAll articles

RayStation 11B

RaySearch Laboratories AB (publ) • Radiology • 04/15/2022

510(k)IEC 62304 Class C
FDA Summary PDF

Device Purpose

RayStation 11B is a comprehensive radiation therapy treatment planning system designed to enhance clinical decision-making and treatment accuracy through advanced dose calculation and imaging functionalities. It employs sophisticated algorithms for EQD2 dose computation, synthetic CT generation from CBCT, and detailed LET/RBE analysis for particle therapies, all validated for clinical utility.

Summary

RayStation 11B, developed by RaySearch Laboratories, is an advanced software system designed for comprehensive radiation therapy and medical oncology treatment planning, analysis, and administration. It operates through distinct modules: RayStation for core treatment planning, RayPhysics for the calibration of treatment machines and imaging systems, and RayTreat for managing plan delivery and treatment record integration. The system offers configurable functionality to assist clinicians by generating treatment plan proposals, which can then be reviewed, approved, and utilized for administering patient treatments, with a streamlined version named RayPlan 11B available. This iteration, RayStation 11B, introduces significant enhancements, including an EQD2 (two Gray equivalent dose) computation feature based on the linear quadratic biological model, enabling dose accumulation from photon and brachytherapy. It also incorporates two new algorithms for generating synthetic CT images from Cone-Beam CT (CBCT) data, thereby improving photon dose calculation accuracy by facilitating the use of HU values from these images. Furthermore, the system enhances support for particle therapy by enabling the computation and evaluation of dose-weighted Linear Energy Transfer (LET) for proton and light ion plans, providing deeper insights into radiobiological effects. Validation studies confirmed the clinical adequacy of these new features, affirming the system's performance and safety.

AI Regulatory Concerns

Powered byJev by TypeSafe AI

Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

Radiation TherapyTreatment Planning SystemEQD2 Dose ComputationSynthetic CTCBCTLinear Energy Transfer (LET)Proton TherapyLight Ion TherapyDose CalculationRadiobiology

Device Metadata

Submission Number
K220141
Company
RaySearch Laboratories AB (publ)
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Intervention
AI Function
Generation|Analysis
AI Subclass
quantification/feature localization|synthetic data generation

Relevant Clinical Questions

  • Q1. How do the two new algorithms for synthetic CT generation from CBCT differ in their methodology, and what are their respective impacts on dose calculation accuracy across various anatomical sites and imaging artifacts?; What is the specific mathematical implementation of the linear quadratic model for EQD2 dose computation, and how does the system handle variations in fractionation schemes or tissue-specific alpha/beta ratios?; For the handling of LET and RBE components, what models are used to calculate dose-weighted LET, and how does the system integrate LET information to influence RBE-weighted dose evaluation for proton and light ion plans beyond what was available in previous versions?; What were the specific validation metrics and tolerance levels used to deem the EQD2 dose computation, synthetic CT generation, and LET handling 'adequate for clinical use' during the respective validation processes (Clinical Evaluation for Brachy, CBCT Conversion validation, Proton PBS Monte Carlo validation)?; Considering the configurable nature of RayStation 11B, what are the default settings for the new features (EQD2, synthetic CT, LET), and what level of user expertise is assumed for customizing these parameters for optimal clinical outcomes?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement

Learn how Parasoft automates IEC 62304 compliance testing →

Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score5/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

Preparing a similar submission?

ESL takes complete ownership of your software evidence work - SBOM & CVE remediation with SBOMator™, static analysis & unit testing with Parasoft, traceability, and full IEC 62304 lifecycle support.

Assess Your Readiness →Or contact ESL directly
RayStation 11B - RaySearch Laboratories AB (publ) | ESL FDA AI Device Intelligence