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510(k) Data Aggregation

    K Number
    K201147
    Manufacturer
    Date Cleared
    2021-07-19

    (446 days)

    Product Code
    Regulation Number
    888.3020
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The short length Elos nails are intended for stabilizing various types of intertrochanteric fractures of the form. The long length Elos nails are intended for fixation of femoral fractures occurring from the base of the femoral neck extending distally to a point approximately 10 cm proximal to the intercondylar notch. Fracture types include basilar neck, intertrochanteric, subtrochanteric fractures. These femoral fractures may occur as a result of trauma, non-union, malunion, pathological fractures, and impending pathological fractures.

    Device Description

    The Elos Intramedullary Nailing System consists of a titanium nail, cephalic screw, diaphyseal screw, optional closure cap, and a pre-assembled cannulated grub screw to lock cephalic screws. The short nails are available in lengths of 180mm and 10mm and 11mm in diameter. The short nails also have CCD angles of 122° and 127°. The 180mm short nail is available in one configuration for both left and right femurs and the 240mm nail is available in both left and right configurations. The long length nails are 11mm in diameter, in lengths of 300mm, 340mm, 380mm, 400mm, 420m, 440mm and 460 mm and are offered in left and right configurations. The long nails are also offered with CCD angles of 122° and 127°. The nails, screws, and closure cap undergo an anodic oxidation (Type II Anodization) treatment.

    AI/ML Overview

    The provided text is a 510(k) summary for the Elos® Intramedullary Nailing System and describes the device's substantial equivalence to predicate devices, primarily through non-clinical performance testing (mechanical fatigue). This document does not describe a study involving an AI/software device that requires intricate acceptance criteria related to accuracy, sensitivity, specificity, and human reader performance.

    Therefore, many of the requested elements for an AI/software device performance study (e.g., sample size for test set, data provenance, number of experts for ground truth, adjudication method, MRMC study, standalone performance, training set details) are not applicable to this document.

    However, based on the non-clinical performance testing described, here's an interpretation of the "acceptance criteria" and "study" as presented:

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

    Acceptance Criteria (Implied)Reported Device Performance
    Meet performance requirements of intramedullary nailing systems.Elos® Intramedullary Nailing System components met performance requirements.
    Be as safe and effective as predicate devices.Elos® Intramedullary Nailing System is as safe and effective as its predicate devices.
    Performance characteristics are equivalent to legally marketed systems.Bench testing demonstrated that performance characteristics are equivalent.

    2. Sample sized used for the test set and the data provenance:

    • Sample Size: Not explicitly stated as a "sample size" in the context of clinical data or image sets. For mechanical fatigue testing, this would refer to the number of devices or components tested. This information is not provided in the summary.
    • Data Provenance: Not applicable in the context of clinical data. The performance data is derived from non-clinical mechanical fatigue testing.

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

    • Not applicable. Ground truth in this context is established through engineering and materials science principles for mechanical testing, not expert consensus on medical images or clinical outcomes.

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

    • Not applicable. Adjudication methods are typically for resolving discrepancies in expert interpretations of medical data, which is not relevant for mechanical 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:

    • Not applicable. This study is for a physical medical device (intramedullary nailing system), not an AI-powered diagnostic or assistive tool.

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

    • Not applicable. This refers to a physical device, not an algorithm.

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

    • Mechanical performance specifications and industry standards for intramedullary nails. The "ground truth" is that the device must withstand certain forces and fatigue cycles without failure, as demonstrated by non-clinical bench testing.

    8. The sample size for the training set:

    • Not applicable. No training set is mentioned as this is not an AI/machine learning device.

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

    • Not applicable. No training set.

    Summary of the Study Proving Acceptance Criteria:

    The study described is non-clinical performance testing, specifically focusing on mechanical fatigue.

    • Methodology: The Elos® Intramedullary Nailing System components underwent mechanical fatigue testing.
    • Objective: To demonstrate that the device components meet established performance requirements and are as safe and effective as legally marketed predicate devices (Stryker Gamma3™ Nail System, K032244 and K034002).
    • Results: The testing "demonstrated that the Elos® Intramedullary Nailing System components met performance requirements and are as safe and effective as their predicate devices." It also showed that the "performance characteristics... are equivalent to those of other legally marketed intramedullary nail systems."
    • Conclusion: This non-clinical data supported the determination of Substantial Equivalence to the predicate devices.

    In essence, the "acceptance criteria" were the pre-defined engineering and performance specifications for intramedullary nails, and the "study" was the mechanical fatigue testing that verified the device met these specifications. The document heavily emphasizes the comparison to predicate devices, implying that their performance characteristics serve as the benchmark for "safety and effectiveness" in this context.

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