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510(k) Data Aggregation

    K Number
    K192886
    Date Cleared
    2020-03-26

    (168 days)

    Product Code
    Regulation Number
    870.1330
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The OmniWire pressure guide wire is indicated for use to measure pressure in blood vessels, including both coronary and peripheral vessels, during diagnostic angiography and/or any interventional procedures. It can also be used to facilitate the placement of catheters as well as other interventional devices in coronary and peripheral vessels. Blood pressure measurements provide hemodynamic information for the diagnosis and treatment of blood vessel disease.

    Device Description

    The OmniWire pressure guide wire is a steerable guide wire with a pressure sensor mounted 3 cm proximal to the tip. The pressure guide wire measures pressure when used with the IntraSight and SmartMap systems and is intended to be used in adult patients eligible for endovascular procedures. The pressure guide wire has a diameter of 0.014" (0.36 mm), a length of 185 cm and is available in straight or preshaped tips. It is coated with hydrophilic coating (39 cm length) on the distal portion to reduce surface friction and enhance lubricity. It is also coated with a hydrophobic coating (146 cm length) on the proximal portion to reduce surface friction. The pressure guide wire is packaged attached to the connector with an OmniWire-specific torque device to facilitate navigation through the vasculature.

    AI/ML Overview

    The provided text describes the OmniWire Pressure Guide Wire and its substantial equivalence to a predicate device (Verrata PLUS Pressure Guide Wire, K161887). The information regarding acceptance criteria and the study proving the device meets them is primarily found in the "Summary of Non-Clinical Testing" section.

    Here's a breakdown of the requested information based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance:

    The document states that "Performance bench testing was completed as part of design verification to establish Substantial Equivalence with the predicate device, and that the subject device performs as intended." It then lists the types of tests conducted. However, it does not explicitly state the specific acceptance criteria (e.g., numerical thresholds, pass/fail rates) or the numerical results of each test. It only indicates that the device met these requirements.

    Acceptance Criteria (What was measured)Reported Device Performance (Result/Outcome)
    Guidewire Tensile StrengthMet the pre-determined requirements for substantial equivalence with the predicate device.
    Torque StrengthMet the pre-determined requirements for substantial equivalence with the predicate device.
    Rotational AccuracyMet the pre-determined requirements for substantial equivalence with the predicate device.
    Kink ResistanceMet the pre-determined requirements for substantial equivalence with the predicate device.
    Conformance to Electrical safety standardsMet the pre-determined requirements for substantial equivalence with the predicate device.
    Electromagnetic CompatibilityMet the pre-determined requirements for substantial equivalence with the predicate device.
    GLP Animal StudyMet the pre-determined requirements for substantial equivalence with the predicate device.
    Signal Drift (simulated-use testing/design validation)Demonstrated the subject device met user needs and the intended use by meeting pre-determined requirements.

    2. Sample size used for the test set and the data provenance:

    The document does not explicitly state the sample sizes used for each of the non-clinical tests (e.g., number of guidewires tested for tensile strength, number of animals in the GLP study). It also does not specify the data provenance (e.g., country of origin, retrospective or prospective) beyond stating they were "performance bench testing" and a "GLP Animal Study."

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

    This information is not provided in the document. The non-clinical tests described are primarily engineering and performance evaluations, and do not necessarily involve expert "ground truth" in the same way a diagnostic AI might. For the GLP Animal Study, expert veterinarians or researchers would have been involved, but their number and specific qualifications are not detailed.

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

    This information is not provided in the document. Given the nature of the non-clinical tests, a formal adjudication method like those used for clinical image interpretation studies is unlikely to be applicable or necessary.

    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 done. The document explicitly states: "No new clinical testing was completed, nor relied upon, in support of this Traditional 510(k) submission." This device is a pressure guide wire, not an AI-assisted diagnostic tool for human readers.

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

    The device is a physical medical device (pressure guide wire) used to measure pressure. It is not an algorithm or AI that operates "standalone" in the typical sense of AI performance evaluation. Its performance is inherent in its physical and pressure-sensing capabilities, which were evaluated through the non-clinical tests mentioned.

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

    For the non-clinical tests (tensile strength, torque strength, etc.), the "ground truth" would be established by physical measurements against engineering specifications and industry standards. For the GLP Animal Study, the "ground truth" would be the physiological measurements and observations recorded by trained personnel, likely assessed against expected physiological responses. It is not expert consensus, pathology, or outcomes data in the context of diagnostic interpretation.

    8. The sample size for the training set:

    This information is not applicable/not provided. This device is not an AI algorithm that undergoes a "training set" in the machine learning sense. Its design and performance are based on engineering principles and materials science.

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

    This information is not applicable/not provided for the same reason as point 8.

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