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510(k) Data Aggregation

    K Number
    K173469
    Date Cleared
    2018-01-09

    (62 days)

    Product Code
    Regulation Number
    892.1000
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The 16ch T/R Hand Wrist Coil is intended for use with GE 1.5T MR systems to produce diagnostic images of the hand and wrist that can be interpreted by a trained physician.

    Device Description

    The 16ch T/R Hand Wrist Coil is a transmit/receive, 16-channel phased array coil designed for magnetic resonance imaging (MRI) using the GE 1.5T MR systems. The 16ch T/R Hand Wrist Coil is intended to be used for imaging the hand and wrist.

    The 16ch T/R Hand Wrist Coil is a reusable, non-invasive device with limited exposure with regard to duration of contact with the body. All coil elements are enclosed in a rigid plastic housing, which is fire-rated, has impact and tensile strength, and has been tested for biocompatibility.

    AI/ML Overview

    The provided text is a 510(k) summary for a medical device (16ch T/R Hand Wrist Coil) and does not describe an AI/ML powered device or a study involving such a device where acceptance criteria are set for AI performance metrics. Instead, it describes performance testing for a magnetic resonance imaging (MRI) coil.

    Therefore, I cannot extract the requested information regarding AI device acceptance criteria, study details, sample sizes for test/training sets, expert qualifications, adjudication methods, MRMC studies, or standalone algorithm performance.

    The document discusses various performance tests relevant to an MRI coil, which are outlined below for completeness, but these do not directly address the prompt's request for AI device specific information.

    1. Table of Acceptance Criteria and Reported Device Performance (Non-AI related):

    Performance MetricAcceptance CriteriaReported Performance
    BiocompatibilityMaterials have a history of safe use in cleared devicesAll surface materials a history of safe use
    Electrical SafetyCompliant with AAMI/ANSI ES60601-1 and IEC 60601-2-33Found to be compliant
    Surface HeatingMeasured temperature not to exceed 41°CNever exceeded 41°C
    SAR LimitsLocal SAR limits below IEC 60601-2-33 partial body limitsSimulation showed local SAR limits are below IEC 60601-2-33 partial body limits
    SNR and UniformityConform to predetermined acceptance criteriaFound to conform to predetermined acceptance criteria per NEMA MS 1 and NEMA MS 3
    Diagnostic Quality ImagesProduce diagnostic quality images of the intended anatomyClinical images from volunteer scanning demonstrated diagnostic quality images

    The following information cannot be extracted from the provided text as it pertains to AI/ML powered devices, which is not the subject of this 510(k) summary:

    • Sample sizes used for the test set and the data provenance: Not applicable to a physical MRI coil. Clinical images were obtained from volunteer scanning, but the sample size is not specified for the diagnostic quality assessment.
    • Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. The "ground truth" for an MRI coil is its ability to produce good images for clinical interpretation, not an AI-derived diagnosis. The images are interpreted by a "trained physician".
    • Adjudication method: Not applicable.
    • If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance: Not applicable.
    • If a standalone (i.e., algorithm only without human-in-the-loop performance) was done: Not applicable.
    • The type of ground truth used: For the clinical image assessment of the coil, the "ground truth" is that the images are of "diagnostic quality" as interpreted by a trained physician. This is an outcome of the coil's performance, not a predefined ground truth for an algorithm.
    • The sample size for the training set: Not applicable.
    • How the ground truth for the training set was established: Not applicable.
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