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510(k) Data Aggregation

    K Number
    K172558
    Date Cleared
    2017-10-05

    (42 days)

    Product Code
    Regulation Number
    876.1075
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    iVAS 8g Bone Biopsy Kit, iVAS 11g Bone Biopsy Kit, iVAS 10g Bone Biopsy Kit

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Stryker iVAS® Bone Biopsy Kit can be used as a biopsy tool to remove sample tissue from bone or vertebral body using a coring, cutting or aspiration technique.

    Device Description

    The Stryker iVAS® Bone Biopsy Kit can be used as a biopsy tool to remove sample tissue from bone or vertebral body using a coring, cutting or aspiration technique. The subject device is disposable, intended for single use, and is provided sterile to the end user. The mechanism of action for obtaining a biopsy is manual and the principle of operation is through suction. The biopsy device will be sold in a kit configuration consisting of a coaxial biopsy needle, obturator and syringe. The subject biopsy kit is used with an access cannula and stylet of compatible size. The access cannula and stylet are sold separately and are Class I exempt per 21 CFR 888.4200, product code OAR (injector, vertebroplasty (does not contain cement).

    AI/ML Overview

    The provided text describes the Stryker iVAS® Bone Biopsy Kit and its substantial equivalence to a predicate device, focusing on non-clinical (bench) testing. There is no information about a study proving the device meets acceptance criteria in the context of AI/ML performance, multi-reader multi-case studies, or human-in-the-loop performance.

    The document is a 510(k) summary for a medical device and is primarily concerned with establishing substantial equivalence to a legally marketed predicate device, rather than assessing an AI's performance.

    Here's the information extracted from the provided text, keeping in mind that the request is geared towards AI/ML device studies, and this document does not describe such a study:

    1. A table of acceptance criteria and the reported device performance

    The document mentions acceptance criteria but does not provide a table specifying the criteria values alongside reported performance for each test. It broadly states that "All samples surpassed all acceptance criteria" for each test.

    Test DescriptionAcceptance Criteria (Not specified, but implied)Reported Device Performance
    Axial Torque and Non-axial TorqueTorsional performance requirementsAll samples surpassed all acceptance criteria
    Compressive force (obturator)Compression requirementsAll samples surpassed all acceptance criteria
    Axial Tensile ForceFunctional performance requirementsAll samples surpassed all acceptance criteria
    Compressive Force and Axial Tensile Force (obturator)Functional and compressive performance requirementsAll samples surpassed all acceptance criteria
    Impact and Axial Compressive testingImpact and compressive performance requirementsAll samples surpassed all acceptance criteria
    Impact testingFunctional specificationsAll samples surpassed all acceptance criteria

    2. Sample sizes used for the test set and the data provenance

    The document states "All samples" passed the tests, but does not specify the exact number of samples (sample size) used for each bench test.

    Data Provenance: Not applicable in the context of "country of origin of the data" or "retrospective or prospective" as these were bench tests performed on physical device samples, not clinical or historical data.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable. The tests are mechanical bench tests on the device's physical properties. There is no ground truth established by experts in the context of interpretation or diagnosis for these types of tests.

    4. Adjudication method (e.g., 2+1, 3+1, none) for the test set

    Not applicable. Adjudication methods are typically relevant for human interpretation of data, such as medical images. These were objective mechanical tests.

    5. 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

    No MRMC comparative effectiveness study was mentioned or performed. This document does not pertain to AI/ML software.

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

    No standalone algorithm performance study was mentioned or performed. This document does not pertain to AI/ML software.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    Not applicable. For the bench tests, the "ground truth" would be the engineering specifications and performance requirements that the device needed to meet.

    8. The sample size for the training set

    Not applicable. This document describes a physical medical device, not an AI/ML algorithm that requires a training set.

    9. How the ground truth for the training set was established

    Not applicable. As noted above, this document does not pertain to AI/ML software, so there is no training set or ground truth in that context.

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