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510(k) Data Aggregation

    K Number
    K142776
    Device Name
    Flow-Screw
    Manufacturer
    Date Cleared
    2015-03-23

    (178 days)

    Product Code
    Regulation Number
    888.3040
    Why did this record match?
    Reference Devices :

    K062630, K072355, K090242, K101557

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

    The Flow-Screw is intended for the fixation of bone fractures and bone reconstructions. When used for these indications, the Flow-Screw can also be used to deliver injectable bone void fillers to a surgical site.

    Device Description

    The Flow-Screw is cannulated and available in fully and partially threaded designs in various lengths. The Flow-Screw is fenestrated along its length which allows it to be used as a delivery system for injectable bone void fillers. The Flow-Screw implants are made of titanium alloy (Ti-6Al-4V) conforming to ASTM F136 or stainless steel conforming to ASTM F138 or ASTM F2229.

    AI/ML Overview

    The provided text describes a medical device called the "Flow-Screw" and its substantial equivalence to predicate devices, but it does not contain any information about acceptance criteria or a study that proves the device meets those criteria in the context of an AI/ML product.

    The document is a 510(k) premarket notification decision letter from the FDA for a physical medical device (a bone fixation screw), not an AI/ML algorithm. Therefore, the questions related to AI/ML product evaluation (like sample sizes for test/training sets, expert ground truth, MRMC studies, standalone performance, etc.) are not applicable to this document.

    The "Substantial Equivalence" section mentions "Mechanical Performance" and "BVF Delivery" as criteria, stating:

    • Mechanical Performance: "Mechanical testing demonstrates the substantial equivalence of the Flow-Screw relative to the identified predicates when subjected to static compression bending loads."
    • BVF Delivery System: "The qualification testing (i.e., Injectability Testing, Experimental Void Fill Imaging Studies, Static Extraction Torque, BVF Characterization) was performed with ETEX Beta-bsm and CarriGen (K062630, K072355, K090242, K101557)"

    However, these are not quantitative acceptance criteria in the format requested, nor do they detail the specifics of such studies as would be done for an AI/ML device.

    Therefore, I cannot provide the requested information because the document describes a physical medical device and not an AI/ML product.

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    K Number
    K140601
    Device Name
    FLOW-NAIL
    Manufacturer
    Date Cleared
    2014-07-02

    (114 days)

    Product Code
    Regulation Number
    888.3020
    Why did this record match?
    Reference Devices :

    K062630, K072355, K090242, K101557

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

    The Flow-Nail is intended to treat stable and unstable proximal fractures of the femur including pertrochanteric, intertrochanteric, and high subtrochanteric fractures and combinations of these fractures. The Flow-Nail can also be used to deliver injectable bone void fillers to a surgical site.

    Device Description

    The Flow-Nail is a dynamic compression trochanteric nail system and includes an intramedullary nail, a sliding fenestrated lag screw, anti-rotation screws, a cap and accompanying surgical instruments. The Flow-Nail components are made of titanium alloy (Ti-6Al-4V) conforming to ASTM F136.

    AI/ML Overview

    Acceptance Criteria and Study for Flow-Nail (K140601)

    The Flow-Nail is an intramedullary fixation rod intended to treat stable and unstable proximal femur fractures and to deliver injectable bone void fillers. The device's substantial equivalence to predicate devices was established through a comparison of various attributes, including mechanical performance.

    1. Table of Acceptance Criteria and Reported Device Performance

    CriteriaDescriptionAcceptance CriteriaReported Device Performance
    Mechanical PerformanceThe ability of the Flow-Nail to withstand static and dynamic compression bending loads.The Flow-Nail must demonstrate substantial equivalence in mechanical performance to the identified predicate devices (Zimmer Natural Nail System, Stryker Gamma 3 Nail System, AOS Trochanteric Nail)."Mechanical testing demonstrates the substantial equivalence of the Flow-Nail relative to the identified predicates when subjected to static and dynamic compression bending loads." (K140601, Page 1)
    BVF DeliveryThe ability of the device to deliver injectable bone void fillers (BVF).The Flow-Nail must be capable of delivering injectable bone void fillers."Yes" (Flow-Nail row under BVF Delivery) (K140601, Page 1)
    BVF Delivery System QualificationQualification testing for the bone void filler delivery system.Qualification testing (Injectability, Experimental Void Fill Imaging, Static Extraction Torque, BVF Property characterization) performed with specified BVF."The qualification testing (i.e., Injectability Testing, Experimental Void Fill Imaging Studies, Static Extraction Torque, BVF Property characterization), was performed with ETEX Beta-bsm and CarriGen (K062630, K072355, K090242, K101557)." (K140601, Page 1)

    2. Sample Size and Data Provenance for Test Set

    The provided document (K140601 510(k) Summary) does not explicitly detail the sample size or data provenance (e.g., country of origin, retrospective/prospective) for the test set used in the mechanical performance studies. The study primarily relies on a comparative mechanical testing approach rather than clinical trial data.

    3. Number of Experts and Qualifications for Ground Truth of Test Set

    This type of submission (510(k) for an intramedullary fixation rod) does not typically involve human expert adjudication for a "test set" in the context of clinical outcomes or imaging classification. The evaluation is based on engineering and material science standards and physical testing. Therefore, the concept of "experts establishing ground truth" as it would apply to, for example, image interpretation, is not relevant here. The "experts" would be the engineers and scientists conducting the mechanical tests and comparing the results to established standards and predicate device performance.

    4. Adjudication Method for the Test Set

    Given the nature of the mechanical performance studies for a medical device like an intramedullary nail, there is no adjudication method described or typically applied in the way it would be for a clinical diagnostic study (e.g., 2+1 or 3+1). The evaluation is based on objective measurements from standardized mechanical tests.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not performed. This type of study is relevant for evaluating the impact of AI on human readers in diagnostic tasks, which is not applicable to the Flow-Nail's pre-market submission which focuses on substantial equivalence through mechanical and material testing.

    6. Standalone (Algorithm Only Without Human-in-the-Loop) Performance

    Not applicable. The Flow-Nail is a physical medical device, not an AI algorithm. Therefore, "standalone performance" in the context of an algorithm without human-in-the-loop is not relevant.

    7. Type of Ground Truth Used

    The "ground truth" for the Flow-Nail's substantial equivalence is based on engineering standards, material specifications, and the established performance of existing predicate devices through standardized mechanical testing. This includes:

    • ASTM F136 for titanium alloy composition.
    • Static and dynamic compression bending loads for mechanical performance.
    • Qualification testing for BVF delivery (Injectability Testing, Experimental Void Fill Imaging Studies, Static Extraction Torque, BVF Property characterization).

    8. Sample Size for the Training Set

    Not applicable. The concept of a "training set" is relevant for machine learning algorithms. The Flow-Nail is a physical medical device, and its development and testing do not involve a training set in this context.

    9. How the Ground Truth for the Training Set Was Established

    Not applicable, as there is no "training set" for this physical device.

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