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510(k) Data Aggregation

    K Number
    K143135
    Manufacturer
    Date Cleared
    2015-02-20

    (112 days)

    Product Code
    Regulation Number
    870.1330
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Spring Coil Guidewire

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

    To facilitate the placement of devices during diagnostic or interventional procedures.

    Device Description

    NeoMetrics guidewires are constructed using stainless steel and nickel titanium alloys. Configurations include a single tip or dual tip, retracted core or fixed core, and straight or J-tipped. The guidewire is packaged in a spiral hoop fitted with a "J"-Straightener, where applicable to aid in insertion of the guidewire into the puncture needle.

    AI/ML Overview

    This document is a 510(k) Summary for the Neometrics Spring Coil Guidewire (K143135). It demonstrates substantial equivalence to a predicate device, focusing on bench testing rather than clinical study data relevant to AI/algorithm performance. Therefore, I cannot provide a detailed answer to your request as it pertains to AI/algorithm acceptance criteria and studies.

    Based on the provided document, here's what can be extracted and why the rest cannot be answered:

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

    Acceptance Criteria (Bench Test Type)Reported Device Performance
    Dimensional VerificationMet requirements
    Tensile StrengthMet requirements
    Tip FlexibilityMet requirements
    Packaging StudyMet requirements
    Kink ResistanceMet requirements
    Fracture ResistanceMet requirements
    Flex ResistanceMet requirements
    Corrosion ResistanceMet requirements
    Biocompatibility TestingMet requirements
    Radiopacity TestingMet requirements

    Explanation: The document states, "To verify that device design met functional and performance requirements, representative samples of the device underwent bench testing in accordance to applicable standards and guidances." It then lists the types of performance tests conducted. While specific numerical acceptance criteria and detailed performance results are not provided in this summary, the conclusion states that "These data demonstrates that the Spring Coil Guidewire is equivalent to the predicate." implying all tests met their respective acceptance criteria.

    The following questions cannot be answered from the provided document because it describes a traditional medical device (a guidewire) and its premarket notification, which relies on bench testing and substantial equivalence to a predicate, not an AI/algorithm-based device and its associated clinical/performance studies.

    • 2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective) - Not applicable, as this is bench testing of physical device properties, not a study on an algorithm with a test set of data.
    • 3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience) - Not applicable. Ground truth for a physical guidewire is established through objective measurements and material science standards during bench testing.
    • 4. Adjudication method (e.g. 2+1, 3+1, none) for the test set - Not applicable for bench testing.
    • 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 - Not applicable as this is not an AI-assisted device or an imaging/diagnostic device involving human readers.
    • 6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done - Not applicable as this is not an algorithm.
    • 7. The type of ground truth used (expert consensus, pathology, outcomes data, etc) - For bench testing, ground truth is based on engineering specifications, material standards, and physical measurements.
    • 8. The sample size for the training set - Not applicable, as there is no AI algorithm being trained.
    • 9. How the ground truth for the training set was established - Not applicable, as there is no AI algorithm being trained.
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