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510(k) Data Aggregation

    K Number
    K161807
    Device Name
    BEAMSCAN
    Date Cleared
    2017-05-19

    (322 days)

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

    The BEAMSCAN system is intended to collect beam data in water under the aspect of machine QA for the following purposes:

    • acceptance testing and/or commissioning of a radiation therapy system.
    • measurements after repair or replacement of major treatment unit components.
    • beam data analysis according to international therapy dosimetry protocols.
    • acquisition, formatting and transfer of basic data to treatment planning systems.
    • periodic QA procedures, e.g. constancy checks.
    Device Description

    The BEAMSCAN system is comprised of a PMMA tank with a moving mechanism and a radiation detector. Further main components are a lifting carriage with built-in electrometer and control unit with separate control pendant. The lifting carriage either includes a water reservoir or a separate reservoir is used. A positioning device can be mounted on top of the lifting carriage and allows the water phantom to be aligned manually. The whole system is controlled with software for data display and processing.

    AI/ML Overview

    This document describes the BEAMSCAN system, a water phantom for dosimetry measurements in radiation therapy. It is intended for machine quality assurance (QA), including acceptance testing, commissioning, measurements after repair, beam data analysis, data transfer to treatment planning systems, and periodic QA procedures. Its use is restricted to qualified medical physicists and must not be used while a patient is present.

    Here's an analysis of the acceptance criteria and study information provided:

    1. Table of Acceptance Criteria and Reported Device Performance

    The provided document doesn't explicitly list a table of acceptance criteria with corresponding performance metrics in a pass/fail format. However, it states that "Verification and validation testing demonstrated that BEAMSCAN fulfils the design specification and its intended use." It also mentions non-clinical performance testing was conducted according to IEC 60731 A1:2016 and specific properties of water phantom systems.

    Based on the "Bench and Non-clinical Testing" section, we can infer the aspects that were tested and confirmed:

    Acceptance Criteria (Inferred from testing description)Reported Device Performance (Inferred)
    Fulfillment of design specificationFulfilled
    Fulfillment of intended useFulfilled
    Compliance with IEC 60731 A1:2016Compliant
    Measurement accuracy (detector positioning)Verified
    Reproducibility of measurementsVerified
    Mechanical alignmentVerified
    Functionality with step-by-step measurementsVerified
    Functionality with continuous measurementsVerified
    Clinical workflow validationValidated
    Electrical safety (IEC 61010-1:2010)Compliant
    Electromagnetic compatibility (IEC 60601-1-2:2007 / CISPR 22:2008 / 47 CFR Part 15 Subpart B)Compliant
    Software verification and validation (according to Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (2005))Conducted and submitted
    Biocompatibility (operator contact with uninjured skin)Biologically uncritical

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not explicitly specify a "sample size for the test set" in the context of clinical images or patient data. The BEAMSCAN system is for quality assurance of radiation therapy machines, not for patient diagnosis or treatment. The testing described focuses on the device's measurement capabilities and operational performance.

    The "Bench and Non-clinical Testing" section mentions "Verification and validation testing" and "BEAMSCAN validation testing." It states that this testing was performed with "qualified medical physicists and experienced PTW staff." There is no specific number of test cases or "samples" quantified in the typical sense of a clinical study.

    Data Provenance: The testing was "non-clinical" and involved "qualified medical physicists and experienced PTW staff," suggesting it was conducted internally by the manufacturer (PTW-Freiburg, Germany) or by independent test laboratories (for electrical safety and EMC), focusing on the device's physical and software performance. Therefore, the data provenance is from laboratory/bench testing and internal validation, not retrospective or prospective clinical patient data.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications

    The document mentions that "Validation of the clinical workflow has been conducted in BEAMSCAN validation testing with qualified medical physicists and experienced PTW staff." It does not specify a precise number of individual experts beyond the general terms "qualified medical physicists" and "experienced PTW staff."

    Qualifications of Experts:

    • Qualified medical physicists: This is a professional designation, implying they possess the necessary education, training, and certification to work in medical physics, which includes radiation dosimetry and QA.
    • Experienced PTW staff: This refers to personnel employed by the manufacturer (PTW-Freiburg) who have expertise related to the device and its intended use.

    4. Adjudication Method for the Test Set

    The document does not describe an adjudication method in the sense of resolving discrepancies among multiple expert assessments for ground truth, as would be common in a clinical imaging study. Since the testing involved device performance against established standards (e.g., IEC 60731 A1:2016) and design specifications, the "ground truth" would be determined by these objective criteria and the observed measurements. Workflow validation would likely involve confirmation by the "qualified medical physicists" that the system operates as expected for its intended QA purposes.

    5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study Was Done

    No, an MRMC comparative effectiveness study was not done. The BEAMSCAN is a measurement device for machine QA, not a diagnostic or treatment planning tool that would involve human readers interpreting cases with and without AI assistance. The study focuses on the device's inherent measurement accuracy and performance.

    6. If a Standalone (i.e. algorithm only without human-in-the loop performance) Was Done

    The BEAMSCAN system is a physical device that performs measurements through mechanical movement and detector readings, controlled by software. The "performance data" section details "Software Verification and Validation Testing" and "Bench and Non-clinical Testing." These tests evaluate the device's performance, including the software's role in controlling measurements and data processing. While the human user is "in the loop" for setting up the QA procedure and interpreting the results, the core measurement functionality of the system itself, including its embedded algorithms for positioning and data acquisition, is tested in a standalone manner to ensure it meets specifications. The "automated levelling by calculating ideal coordinate axes with respect to the measured water surface" is an example of an algorithmic function that would be tested for standalone performance.

    7. The Type of Ground Truth Used

    The ground truth used for testing the BEAMSCAN system is based on:

    • Design Specifications: The device's performance was verified against its design inputs.
    • International Standards: Compliance with standards such as IEC 60731 A1:2016 for dosimetry and IEC electrical safety and EMC standards.
    • Objective Physical Quantities: Measurement accuracy, reproducibility, and mechanical alignment are compared to known or expected physical values and acceptable tolerances for radiation therapy QA.
    • Clinical Workflow Expectations: Validation by qualified medical physicists ensures the system functions correctly within a radiotherapy QA workflow.

    This is a form of objective performance ground truth, not a subjective ground truth like expert consensus on medical images or pathology reports.

    8. The Sample Size for the Training Set

    The document does not mention a "training set" in the context of machine learning or AI model development. The BEAMSCAN is a physics-based measurement system, not a device that employs machine learning for its core functionality of beam data acquisition. Therefore, the concept of a "training set" as understood in AI/ML is not applicable here. Its performance is based on its physical design, calibration, and deterministic algorithms.

    9. How the Ground Truth for the Training Set Was Established

    As there is no mention of a "training set" or machine learning algorithms in the context of the BEAMSCAN system's primary function, this question is not applicable based on the provided information.

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