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510(k) Data Aggregation

    K Number
    K230743
    Manufacturer
    Date Cleared
    2023-09-05

    (173 days)

    Product Code
    Regulation Number
    870.5150
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ICHOR 14F Embolectomy System

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

    The ICHOR 14F Embolectomy System is indicated for the non-surgical removal of emboli and thrombi from venous blood vessels. The System is intended for the peripheral vasculature and is not intended for use in the coronary or neurovasculature.

    Device Description

    The ICHOR 14F Embolectomy System is indicated for the non-surgical removal of emboli and thrombi from blood vessels. The System is intended for the peripheral venous vasculature (nominal size 8-14mm).

    • The System is composed of three catheters: (1) Introducer Sheath, (2) Guide Catheter, and (3) Balloon Catheter and accessories.
    • The outermost catheter is the Introducer Sheath, which travels to the occlusion site over the dilator. The Introducer Sheath is placed proximal to the occlusion and anchored into place by inflating the occluding balloon located at the distal tip. The balloon on the Introducer Sheath also serves to occlude flow.
    • The Guide Catheter, composed of the Basket Catheter telescoped within the Guide Catheter Sheath, is passed through the Introducer Sheath. When in place, the Guide Catheter Sheath, which serves as the capturing sleeve, is retracted proximally allowing a nitinol basket to expand within the vasculature proximal to the occlusion.
    • The Balloon Catheter is passed through the Guide Catheter and extended past the occlusion. The treatment balloon is inflated distal to the occlusion, and the Balloon Catheter is pulled proximally towards the basket until the occlusion is contained inside the basket. If desired the Guide Catheter can introduce aspiration to apply negative pressure to guide embolic material into the basket.
    • The accessories include a dilator, flush adapter, two 3cc syringes, a Tuohy Borst, and four extension lines with one-way stopcocks.
    AI/ML Overview

    The provided text is a 510(k) premarket notification for the ICHOR 14F Embolectomy System. It details the device's indications for use, its description, and a comparison to predicate and reference devices. It also lists the non-clinical testing performed to demonstrate substantial equivalence.

    However, the document does not contain information about:

    • Acceptance criteria in tabular format with reported device performance (beyond general statements about meeting requirements).
    • Sample sizes used for the test set (for algorithm performance).
    • Data provenance (country of origin, retrospective/prospective).
    • Number of experts used to establish ground truth or their qualifications.
    • Adjudication method for the test set.
    • MRMC comparative effectiveness study, including effect size.
    • Standalone (algorithm only) performance.
    • Type of ground truth used (expert consensus, pathology, outcomes data, etc.) for any specific algorithm performance claims.
    • Sample size for the training set (for an AI/algorithm).
    • How the ground truth for the training set was established.

    This is because the ICHOR 14F Embolectomy System is a mechanical thrombectomy system, not an AI-powered diagnostic or therapeutic device. The "study that proves the device meets the acceptance criteria" in this context refers to the non-clinical bench testing and animal study performed to demonstrate the physical and functional aspects of the device, as well as its biocompatibility and sterilization efficacy, in comparison to existing predicate devices.

    Therefore, I cannot fulfill most of the requested points as they are relevant to AI/algorithm-based medical devices, which this product is not.

    Here's the information that can be extracted or inferred from the provided text, primarily regarding the non-clinical testing aspects of this mechanical device:

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

    The document lists various tests performed, implying that acceptance criteria were met for each. However, it does not provide specific quantitative acceptance criteria or detailed reported performance results in a table. It only states that the device "met the requirements" or that testing "confirms these do not raise new questions of safety and effectiveness."

    Acceptance Criteria CategoryReported Device Performance (Summary from text)
    BiocompatibilityMet requirements per ISO 10993-1. (Acute Systemic Toxicity, Cytotoxicity, Hemocompatibility (o complement activation, direct and indirect hemolysis, o in vivo thrombogenicity), Irritation, Material-Mediated Pyrogenicity, Sensitization)
    Bench TestingAll listed tests performed and confirm no new safety/effectiveness questions compared to predicate. (Accelerated Aging, Balloon characterization (fatigue, inflation/deflation time, compliance), Basket Durability, Basket Radial Force, Bend Radius, Hub Pressurization, Package Integrity and Bubble Leak, Radiopacity, Seal Peel, Simulated Use, Tensile Testing, Torque Strength, Visual and Dimensional)
    SterilizationMet requirements for ethylene oxide and ethylene chlorohydrin residuals per ISO 10993-7:2008/Amd1:2019; met requirements for bacterial endotoxin per AAMI/ANSI ST72:2019.
    Animal StudyNo adverse events, clinical observations, clinical pathology excursions, gross pathological, and histomorphological findings were evaluated that would raise new safety and effectiveness concerns compared to the comparator device at an acute timepoint.

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

    • Test Set Sample Sizes: Not specified for each individual bench test or the animal study in terms of specific numbers of devices or animals.
    • Data Provenance: Not explicitly stated, but typically for medical device testing, it would be conducted in controlled laboratory or GLP (Good Laboratory Practice) animal study environments. It's not "data" in the sense of patient data. The animal study was a "GLP study," implying a controlled, prospective experimental design.

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

    • Not applicable for this device type. There is no "ground truth" derived from expert image interpretation or clinical outcomes data in the context of an AI study. Mechanical device testing relies on measurable physical properties and observed biological responses.

    4. Adjudication method for the test set

    • Not applicable. Adjudication methods are relevant for human interpretation of data, often in AI or clinical studies. This involves mechanical and biological 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

    • No. This is not an AI-assisted device. Therefore, no MRMC study was conducted or is relevant.

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

    • No. This is not an AI algorithm.

    7. The type of ground truth used

    • Not applicable in the context of AI. For this device, "ground truth" is established by:
      • Bench Test Standards: Adherence to established engineering and material science standards (e.g., tensile strength, balloon compliance) and internal specifications.
      • Biocompatibility Standards: Compliance with ISO 10993 series for biological evaluation of medical devices.
      • Animal Models: Live animal physiological responses and pathological findings in a controlled GLP study setting comparing the device to a predicate/comparator.

    8. The sample size for the training set

    • Not applicable. This device does not use an AI algorithm that requires a training set.

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

    • Not applicable. This device does not use an AI algorithm that requires a training set.
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