K Number
K211867
Device Name
RayStation 11.0
Date Cleared
2021-09-08

(84 days)

Product Code
Regulation Number
892.5050
Reference & Predicate Devices
Predicate For
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

RayStation is a software system for radiation therapy and medical oncology. Based on user input, RayStation proposes treatment plans. After a proposed treatment plan is reviewed and approved by authorized intended users, RayStation may also be used to administer treatments.

Device Description

RayStation is a treatment planning system for planning, analysis and administration of radiation therapy and medical oncology treatment plans. It has a modern user interface and is equipped with fast and accurate dose and optimization engines.

RayStation consists of multiple applications:

  • . The main RayStation application is used for treatment planning.
  • . The RayPhysics application is used for commissioning of treatment machines to make them available for treatment planning and used for commissioning of imaging systems.
  • . The RayTreat application is used for sending plans to treatment delivery devices for treatment and receiving records of performed treatments.

The device to be marketed, RayStation 11.0, marketing name "RayStation 11A", contains modified features compared to version 10.1. The main change is planning for the CyberKnife linear accelerator treatment unit.

The device to be marketed supports planning and dose calculation for M6/S7 CyberKnife treatment machines. Older CyberKnife versions are not supported. The CyberKnife has one delivery technique, and different node sets. The node set defines the possible robot positions for different collimations (cones or MLC) and patient geometry (head or body). All node sets available for patient treatments are included in the validation.

AI/ML Overview

The document provided does not contain specific acceptance criteria for a device in the traditional sense of a medical diagnostic or AI-powered device. Instead, it describes a software system, RayStation 11.0, which is a radiation therapy treatment planning system. The document focuses on demonstrating substantial equivalence to a predicate device (RayStation 10.1) and validating its functionality for a new feature: planning for CyberKnife linear accelerator treatment units.

Therefore, the "acceptance criteria" discussed are more about the software's performance meeting its specifications and being suitable for clinical use, rather than quantitative performance metrics for a diagnostic output.

Based on the provided text, here's an attempt to answer your questions by interpreting "acceptance criteria" as the measures taken to validate the software's functionality and safety:

Table of Acceptance Criteria and Reported Device Performance

Given that RayStation is a treatment planning system and not a diagnostic device with specific output metrics like sensitivity/specificity, the "acceptance criteria" are related to the accuracy and safety of its dose calculations and overall system functionality for treatment planning. The document broadly states the "validation shows that the dose computation is suited for clinical use" and "adequate for clinical use."

Acceptance Criteria CategoryReported Device Performance
Dose Computation AccuracyCyberKnife specific photon dose engine validation (collapsed cone and photon Monte Carlo) performed. Validation shows "dose computation is suited for clinical use" and "adequate for clinical use."
System Functionality"System Tests of RayStation" passed."Risk analysis-based tests for use error mitigation verification" passed.
Software Quality"Unit and subsystem testing for low-level testing" passed."Reviews of design, code and Master Labeling" passed.
User Validation"User validation in cooperation with cancer clinics" completed successfully.

Study that proves the device meets the acceptance criteria:

The provided document describes the verification and validation activities performed for RayStation 11.0. This is not a single "study" in the sense of a clinical trial with a defined sample size of patients with a specific condition. Instead, it's a comprehensive software development and quality assurance process.

1. Sample sizes used for the test set and the data provenance:

  • Test Set Sample Size: The document does not specify a numerical "sample size" for a typical test dataset as one would expect in an AI/diagnostic device study. Instead, it refers to various testing activities:
    • CyberKnife Validation: "All node sets available for patient treatments are included in the validation." This implies comprehensive testing across different configurations of the CyberKnife treatment unit. It doesn't quantify the number of patient plans or variations tested.
    • System Tests, Unit/Subsystem Tests, Risk Analysis-based Tests: These are internal software testing activities, and their "sample size" would be defined by the number of test cases executed, which is not detailed.
    • User Validation: No specific number of cases or users is given.
  • Data Provenance: Not explicitly stated for specific test cases. Given it's a software for radiation therapy planning, the "data" would consist of simulated patient anatomies, treatment plans, and test configurations. The "user validation in cooperation with cancer clinics" implies real-world clinical context, but details are not provided. It's implicitly retrospective as it's part of a software release validation. No country of origin is specified for the data used in testing.

2. Number of experts used to establish the ground truth for the test set and their qualifications:

  • CyberKnife Validation: The validation was performed internally by RaySearch Laboratories, likely by their physicists and engineers. The document does not specify the number of external experts or their qualifications for establishing a "ground truth" for the dose calculations. The "ground truth" for dose calculations would be established through established physics models and comparisons to known phantoms or reference data, not necessarily expert consensus in the typical sense of image interpretation.
  • User Validation: Conducted "in cooperation with cancer clinics." This indicates involvement of clinical experts (e.g., radiation oncologists, medical physicists) who would evaluate the usability and clinical appropriateness of the plans generated. The number and qualifications of these experts are not specified.
  • General: The document does not mention the use of experts to establish 'ground truth' in the context of diagnostic interpretation, which is common for AI-powered image analysis tools. For a treatment planning system, 'ground truth' relates to the accuracy of physics calculations and the clinical utility of the generated plans.

3. Adjudication method for the test set:

  • No explicit adjudication method (e.g., "2+1" or "3+1") is described, as the validation is not focused on subjective interpretation or a diagnostic outcome requiring such consensus. For dose calculations, discrepancies would be resolved by identifying and correcting calculation errors. For user validation, feedback would be gathered and addressed.

4. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, and its effect size:

  • No MRMC study was performed or described. The study type is focused on validating the software's internal performance and its capability to generate treatment plans, not on how human readers (e.g., radiologists) improved their performance using the software. RayStation is a planning tool, not an AI-assisted diagnostic tool for human readers.

5. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done:

  • Yes, standalone performance was assessed for core functionalities. The "Dose engine validation" for the CyberKnife is a standalone assessment of the algorithm's accuracy in calculating dose. "System Tests," "Unit and subsystem testing," and "Risk analysis-based tests" also represent assessments of the algorithm's performance without direct human intervention during the test execution. The "user validation" component does involve humans in the loop to assess usability and clinical utility.

6. The type of ground truth used:

  • For Dose Calculations: The ground truth for dose engine validation would be based on physical principles, established dose measurement techniques (e.g., phantom measurements), and validated physics models. It's about the objective accuracy of numerical calculations.
  • For System Functionality: The ground truth for system tests would be the expected output or behavior based on the software's design specifications and requirements.
  • For Clinical Appropriateness/Usability (User Validation): This would be based on expert clinical judgment from the cancer clinics involved, but it's not a "ground truth" for a diagnostic outcome, rather an assessment of the tool's utility.

7. The sample size for the training set:

  • Not applicable / Not provided. RayStation is a physics-based treatment planning system, not typically an AI/machine learning model in the sense of being "trained" on a large dataset of patient images or outcomes to learn patterns. While it might contain machine learning features (the document mentions "Related to machine learning, there is no change compared to the predicate device," implying some existing ML, but not as the primary function or new feature for the 11.0 update), the core CyberKnife planning feature validated here is based on physics algorithms, not a trained model. Therefore, there's no "training set" in the context of supervised machine learning.

8. How the ground truth for the training set was established:

  • Not applicable / Not provided. As explained above, the core functionality validated (CyberKnife planning) is algorithm-driven, not learned from a training set. If there are existing ML components, the document doesn't detail their training or ground truth establishment.

{0}------------------------------------------------

September 8, 2021

Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left, there is the Department of Health & Human Services logo. To the right of that is the FDA logo, which includes the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG" in blue, and "ADMINISTRATION" in a smaller font below.

RaySearch Laboratories AB (publ) % Mr. David Hedfors Quality and Regulatory Affairs Director Sveavägen 44 Stockholm, 111 34 SWEDEN

Re: K211867

Trade/Device Name: RayStation 11.0 Regulation Number: 21 CFR 892.5050 Regulation Name: Medical charged-particle radiation therapy system Regulatory Class: Class II Product Code: MUJ Dated: June 9, 2021 Received: June 16, 2021

Dear Mr. Hedfors:

We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You mav, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be avare that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.

If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.

Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting

{1}------------------------------------------------

combination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.

Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.

For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).

Sincerely,

Michael D. O'Hara
For

Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health

Enclosure

{2}------------------------------------------------

Indications for Use

510(k) Number (if known) K211867

Device Name RayStation 11.0

Indications for Use (Describe)

RayStation is a software system for radiation therapy and medical oncology. Based on user input, RayStation proposes treatment plans. After a proposed treatment plan is reviewed and approved by authorized intended users, RayStation may also be used to administer treatments.

The system functionality can be configured based on user needs.

Type of Use (Select one or both, as applicable)
-------------------------------------------------
Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)

CONTINUE ON A SEPARATE PAGE IF NEEDED.

This section applies only to requirements of the Paperwork Reduction Act of 1995.

DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.

The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:

Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov

"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."

{3}------------------------------------------------

Image /page/3/Picture/0 description: The image shows the logo for RaySearch Laboratories. The word "RaySearch" is written in blue, with "Ray" being larger than "Search". Below "RaySearch" is the word "Laboratories" in gray. To the right of the text is a geometric design of gray lines converging at a blue hexagon.

K211867 RSL-D-RS-11.0 510(k) Summary

RayStation 11.0

{4}------------------------------------------------

Document ID and TitleVersion:
RSL-D-RS-11.0 510(k) Summary RayStation 11.01.0

Table of Contents

1.510(k) Summary3
1.1510(k) owner3
1.2Contact person3
1.3Preparation date3
1.4Trade name3
1.5Common name3
1.6Classification name3
1.7Predicate devices3
1.8Device description3
1.9Intended use4
1.10Technological characteristics summary4
1.11Assessment of non-clinical performance data4
1.12Test conclusion4

{5}------------------------------------------------

Document ID and TitleVersion:
RSL-D-RS-11.0 510(k) Summary RayStation 11.01.0

510(k) Summary 1.

1.1 510(k) owner

RaySearch Laboratories AB (publ) Sveavägen 44 111 34 Stockholm Sweden

Tel: +46 8 510 530 00

1.2 Contact person

David Hedfors Quality and Regulatory Affairs Director RaySearch Laboratories AB (publ) Email: quality@raysearchlabs.com +46 722 366 110 Tel:

Preparation date 1.3

June 9th, 2021

1.4 Trade name

The trade name is RayStation.

The trade name and version number are written together, i.e. "RayStation 11.0" to easily distinguish the submitted device from the primary predicate device RayStation 10.1.

The marketing name is RayStation 11A.

1.5 Common name

Radiation therapy treatment planning system

1.6 Classification name

Medical charged-particle radiation therapy system (21 CFR 892.5050, Product Code MUJ)

1.7 Predicate devices

K210645 RayStation 10.1

1.8 Device description

RayStation is a treatment planning system for planning, analysis and administration of radiation therapy and medical oncology treatment plans. It has a modern user interface and is equipped with fast and accurate dose and optimization engines.

RayStation consists of multiple applications:

  • . The main RayStation application is used for treatment planning.
  • . The RayPhysics application is used for commissioning of treatment machines to make them available for treatment planning and used for commissioning of imaging systems.
  • . The RayTreat application is used for sending plans to treatment delivery devices for treatment and receiving records of performed treatments.

The device to be marketed, RayStation 11.0, marketing name "RayStation 11A", contains modified features compared to version 10.1. The main change is planning for the CyberKnife linear accelerator treatment unit.

The device to be marketed supports planning and dose calculation for M6/S7 CyberKnife treatment machines. Older CyberKnife versions are not supported. The CyberKnife has one delivery technique, and different node sets. The node set defines the possible robot positions for different collimations (cones or MLC) and patient geometry (head or body). All node sets available for patient treatments are included in the validation.

{6}------------------------------------------------

Document ID and TitleVersion:
RSL-D-RS-11.0 510(k) Summary RayStation 11.01.0

CyberKnife specific photon dose engine validation for RayStation 11.0 was performed for the collapsed cone and photon Monte Carlo dose engines. The validation shows that the dose computation is suited for clinical use.

1.9 Intended use

RayStation is a software system for radiation therapy and medical oncology. Based on user input, RayStation proposes treatment plans. After a proposed treatment plan is reviewed and approved by authorized intended users, RayStation may also be used to administer treatments.

The system functionality can be configured based on user needs.

1.10 Technological characteristics summary

The technological characteristics are the same for RayStation 11.0 as for the predicate device RayStation 10.1. Both versions are built on the same software platform and share design to a high degree. Both versions have been developed under the same quality system, by the same development teams, meeting the same requirements for safety and effectiveness.

The device to be marketed, RayStation 11.0, marketing name "RayStation 11A", contains modified features compared to version 10.1. The one main change between the versions is the extension of the treatment planning, to include the CyberKnife linear accelerator treatment unit.

Related to machine learning, there is no change compared to the predicate device.

1.11 Assessment of non-clinical performance data

The test specification of RayStation 11,0 is a further developed version of the test specification of RayStation 10.1. This is supported by the requirements specification, for which the same is true. The successful verification and validation of RayStation 11.0 therefore support the substantial equivalence of the above RayStation versions.

1.11.1 CyberKnife treatment planning dose engine validation

CyberKnife specific photon dose engine validation for RayStation 11.0 was performed for the collapsed cone and photon Monte Carlo dose engines. The validation shows that the dose computation is adequate for clinical use.

RayStation supports planning and dose calculation for M6/S7 CyberKnife treatment machines. Older CyberKnife versions are not supported, which is also stated in the Instructions for Use. The CyberKnife has one delivery technique and different node set defines the possible robot positions for different collimations (cones or MLC) and patient geometry (head or body). All node sets available for patient treatments are included in the validation.

1.12 Test conclusion

The determination of substantial equivalence is not based on an assessment of non-clinical performance data. However, the entire system verification and validation specifications and reports are included in the submission as required by a software device of major concern.

A number of different types of verification activities have been performed:

  • . System Tests of RayStation
  • . Risk analysis-based tests for use error mitigation verification
  • . Unit and subsystem testing for low-level testing
  • . Dose engine validation including internal testing
  • . User validation in cooperation with cancer clinics
  • . Reviews of design, code and Master Labeling

The data obtained from the verification show that system tests, unit and subsystem tests have passed, and the validations been completed successfully. The reviews of design, code and labeling are also passed.

{7}------------------------------------------------

Document ID and TitleVersion:
RSL-D-RS-11.0 510(k) Summary RayStation 11.01.0

From the successful verification and validation activities, the conclusion can be drawn that RayStation 11.0 have met specifications and is as safe, as effective and performs as well as or better than the legally marketed predicate device.

§ 892.5050 Medical charged-particle radiation therapy system.

(a)
Identification. A medical charged-particle radiation therapy system is a device that produces by acceleration high energy charged particles (e.g., electrons and protons) intended for use in radiation therapy. This generic type of device may include signal analysis and display equipment, patient and equipment supports, treatment planning computer programs, component parts, and accessories.(b)
Classification. Class II. When intended for use as a quality control system, the film dosimetry system (film scanning system) included as an accessory to the device described in paragraph (a) of this section, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.