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510(k) Data Aggregation

    K Number
    K150553
    Device Name
    Filbloc
    Manufacturer
    Date Cleared
    2016-05-19

    (442 days)

    Product Code
    Regulation Number
    878.4840
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Filbloc sutures are indicated for use in general soft tissue approximation where use of an absorbable suture is appropriate.

    Device Description

    Filbloc (polydioxanone) monofilament synthetic absorbable sutures are prepared from the polyester, poly(p-dioxanone). The empirical molecular formula of the polymer is: -(0-CH2-CH2-O-CH2-CO-CH2-CO)n- Filbloc sutures are undyed or dyed with D&C Violet No. 2 (21CFR§ 74.3602). The device is designed with unidirectional or bidirectional barbs, or with unidirectional barbs and final block in PDO. The barbs and the block design allow for tissue approximation, without need to tie surgical knot. The device is available in various lengths and diameter sizes 2 through 4/0 with various needles attached at one end or to both ends.

    AI/ML Overview

    The provided text describes the 510(k) premarket notification for the "Filbloc" absorbable polydioxanone surgical suture. It focuses on demonstrating substantial equivalence to a predicate device, rather than defining specific acceptance criteria for a novel AI/software device and proving its performance through a study of that nature.

    Therefore, the information required to answer the prompt is not present in the provided text. The document outlines a regulatory submission for a physical medical device (surgical sutures), detailing its material, design, intended use, and comparison to existing predicate devices. It describes physical and biocompatibility testing, but not a study designed to meet specific acceptance criteria for a device's "performance" in the way an AI/software device would be evaluated (e.g., sensitivity, specificity, AUC).

    Here's why the required information is missing:

    • Acceptance Criteria & Reported Device Performance (Table): The document doesn't define quantitative performance metrics such as sensitivity, specificity, accuracy, or any thresholds related to diagnostic or analytical performance. It discusses tensile strength and absorption time in comparison to a predicate, but these are material properties, not software performance.
    • Sample Size (Test Set) & Data Provenance: Not applicable in the context of an absorbable suture device. The "testing" refers to physical and biocompatibility tests on the suture material itself, not a dataset of medical images or patient records.
    • Number of Experts & Qualifications: Not applicable. There's no interpretive task that would require expert adjudication of a test set.
    • Adjudication Method: Not applicable.
    • MRMC Comparative Effectiveness Study: Not applicable. This type of study is for evaluating human performance with and without AI assistance, which is irrelevant for a surgical suture.
    • Standalone Performance: While the "device" (suture) is a standalone physical product, the concept of "standalone performance" in the context of AI refers to the algorithm's performance without human intervention, which isn't relevant here.
    • Type of Ground Truth: Not applicable in the AI/software sense. The "ground truth" for a suture would be its physical properties and biological absorption characteristics, confirmed through laboratory and animal testing.
    • Sample Size (Training Set) & How Ground Truth for Training Set was Established: Not applicable, as this is not an AI/machine learning device.

    In summary, the provided document is a 510(k) submission for a physical medical device (surgical sutures), outlining its characteristics and demonstrating substantial equivalence to a predicate device through physical and biocompatibility testing. It does not contain the type of information typically found in a study proving the acceptance criteria for an AI/software-based medical device.

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