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510(k) Data Aggregation

    K Number
    K182446
    Manufacturer
    Date Cleared
    2018-12-19

    (103 days)

    Product Code
    Regulation Number
    888.3040
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    TruShot with Y-Knot All-Suture Anchor

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

    Intended Use
    The non-absorbable suture anchors are intended to reattach soft tissue to bone in orthopedic surgical procedures.

    Indications for Use
    The device may be used in either arthroscopic or open surgical procedures. After the suture is anchored to the bone, it may be used to reattach soft tissue, such as ligaments, tendons, or joint capsules to the suture anchor systems thereby stabilize the damaged soft tissue, in conjunction with appropriate postoperative immobilization, throughout the healing period.

    Device Description

    The CONMED TruShot™ with Y-Knot® All-Suture Anchor is manufactured from High Strength Flat Braided Suture threaded with either one or two #2 (5 metric) Hi-Fi® suture strands with needles. Each All-Suture Anchor is preloaded on a disposable inserter, and pre-assembled with a disposable drill bit and guide handle. The anchor, suture(s) with needles, inserter, drill bit, and guide handle are pre-assembled and provided sterile, intended for single-use. The device is EO Sterilized.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for a medical device called "TruShot™ with Y-Knot® All-Suture Anchor". It focuses on demonstrating substantial equivalence to a predicate device rather than presenting a detailed study proving performance against specific acceptance criteria for an AI/device algorithm in the way your request specifies.

    The document discusses performance data in the context of device safety and efficacy and substantial equivalence to a predicate device, not in the terms of a novel AI algorithm's performance. Therefore, many of the requested elements (sample size for test set, data provenance, ground truth experts, adjudication methods, MRMC studies, standalone AI performance, training set size, and ground truth establishment for training set) are not applicable or extractable from this document.

    However, I can extract the general acceptance criteria (testing types) and a general statement about device performance.

    Here's the information that can be extracted from the provided text, recognizing the limitations of the document relative to your detailed request:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Testing Category)Reported Device Performance
    ReliabilityPerformed as intended
    Ultimate Fixation StrengthPerformed as intended
    CyclicPerformed as intended
    SterilizationPerformed as intended
    Pyrogen (Bacterial endotoxin testing)Met the endotoxin limits
    BiocompatibilityPerformed as intended
    Shelf-lifePerformed as intended
    Post Aging Functional TestingPerformed as intended
    MR Safety TestingPerformed as intended
    User ValidationPerformed as intended
    PackagingPerformed as intended
    TransportationPerformed as intended

    2. Sample size used for the test set and the data provenance
    Not explicitly stated for specific tests. The document refers to "testing" in a general sense, not specific to a "test set" for an algorithm. This is a traditional medical device submission, not an AI/ML submission.

    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. "User Validation" is mentioned, implying human interaction, but details on the number or qualifications of users/experts involved in this validation are absent.

    4. Adjudication method for the test set
    Not applicable based on the provided document.

    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. This is not an AI/ML device.

    6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done
    Not applicable. This is not an AI/ML device.

    7. The type of ground truth used
    For a traditional medical device like a suture anchor, "ground truth" would typically refer to established biomechanical properties, material standards, and clinical outcomes for similar devices. The document implies compliance with these through the various verification and validation tests listed. Pathology or outcome data are not specified as direct ground truth for these tests.

    8. The sample size for the training set
    Not applicable. This is not an AI/ML device, and thus no "training set" in that context is mentioned.

    9. How the ground truth for the training set was established
    Not applicable.

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