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510(k) Data Aggregation

    K Number
    K060528
    Manufacturer
    Date Cleared
    2006-03-28

    (28 days)

    Product Code
    Regulation Number
    878.5020
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Trelon® sutures are intended for use in general and soft tissue approximation and/or ligation including use in cardiovascular, ophthalmic, and neurological procedures.

    Device Description

    The Trelon® sutures are a polyamide (Nylon) multifilament suture that is available in common sizes and lengths and is available with or without pre-attached needles.

    AI/ML Overview

    The provided text describes Trelon® Polyamide Sutures and their substantial equivalence to a predicate device, Dafilon® sutures. However, it does not contain detailed information about acceptance criteria, a specific study proving the device meets those criteria, sample sizes for test/training sets, expert qualifications, or ground truth establishment.

    Here's a breakdown of what is available and what is missing based on your request:

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

    Acceptance CriteriaReported Device Performance
    USP RequirementsThe Trelon® sutures meet all USP requirements.

    Missing Information: The document does not specify which USP requirements were assessed (e.g., tensile strength, knot security, degradation profile, sterility, etc.) nor does it provide the quantitative performance data against those requirements. It only states that the device "meets all USP requirements."

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    Missing Information: The document does not mention a specific "test set" or provide details on the sample size used for performance evaluation, nor does it specify data provenance (country, retrospective/prospective). The assessment appears to be based on compliance with USP standards, which are general specifications.

    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)

    Missing Information: Not applicable as there's no mention of a ground truth established by experts for a specific test set. The performance assessment relies on meeting general USP standards, not on expert evaluation against a particular dataset.

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

    Missing Information: Not applicable. There is no mention of a test set or an adjudication process.

    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

    Missing Information: Not applicable. This device is a surgical suture, not an AI-assisted diagnostic tool. Therefore, an MRMC study related to human reader performance with AI assistance is irrelevant.

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

    Missing Information: Not applicable. This device is a surgical suture, not an algorithm.

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

    Missing Information: The "ground truth" equivalent here is the set of USP requirements for polyamide sutures. The device's performance is gauged against these established industry standards, not against clinical outcomes, pathology, or expert consensus on a particular dataset.

    8. The sample size for the training set

    Missing Information: Not applicable. This refers to a medical device (suture), not a machine learning algorithm that requires a training set.

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

    Missing Information: Not applicable. Similar to point 8, this refers to a medical device, not an algorithm.

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