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510(k) Data Aggregation

    K Number
    K150520
    Date Cleared
    2015-04-29

    (58 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The DARCO® Locking Bone Plate System is intended for use in stabilization of fresh fractures, joint fusion, and reconstruction of small bones of the feet, ankles and toes. The system can be used in both adult and pediativ patients.

    Device Description

    The DARCO® Locking Bone Plate System is designed with rhombus (parallelogram) plates of biocompatible titanium. The plates use either 2.7mm or 3.5mm screws which intersect each other in pairs. The drill holes of the plates are aligned to assure the screws do not touch. The plates vary essentially through different curvatures, material strengths, number of plate holes and through different grades or bridge widths.

    AI/ML Overview

    This document is a 510(k) premarket notification for the DARCO® Locking Bone Plate System. It focuses on demonstrating substantial equivalence to a predicate device rather than presenting a study to prove acceptance criteria for device performance. Therefore, many of the requested details, particularly those related to a clinical study (like sample sizes, ground truth establishment, expert qualifications, adjudication methods, MRMC studies, or standalone algorithm performance), are not available in this document.

    Here's an analysis based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state acceptance criteria in terms of numerical performance metrics for the device. Instead, it relies on demonstrating substantial equivalence in technological characteristics and performance to a predicate device.

    Acceptance Criteria CategorySpecific Criteria (Implicit)Reported Device Performance
    Mechanical PerformanceNot worse than predicate device for bone fixation."Analysis has shown that the performance of the subject bone locking plate system is not a worse case construct of the predicate DARCO® Locking Bone Plate family..."
    Material CompositionIdentical material composition to predicate."Both of these plates have identical indications, identical material composition and similar design features compared to other plates of the DARCO® System."
    Design FeaturesSimilar design features to predicate."Both of these plates have identical indications, identical material composition and similar design features compared to other plates of the DARCO® System."
    Intended UseIdentical indications for use as predicate."Both of these plates have identical indications..."
    BiocompatibilityBiocompatible materials."The DARCO® Locking Bone Plate System is designed with rhombus (parallelogram) plates of biocompatible titanium."

    2. Sample size used for the test set and the data provenance

    Not applicable. This document describes a submission for a medical device that relies on substantial equivalence to a predicate device based on mechanical testing and design comparison, not a clinical study with a "test set" of patient data.

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

    Not applicable. No ground truth based on expert review of a test set is mentioned.

    4. Adjudication method for the test set

    Not applicable. No adjudication method is described as there is no test set of clinical data.

    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 document describes a physical medical device (bone plate system), not an AI-assisted diagnostic tool.

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

    Not applicable. This document describes a physical medical device, not an algorithm.

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

    The document does not describe the use of a "ground truth" derived from clinical data in the context of a performance study. For the mechanical testing, the "ground truth" would implicitly be engineering standards and established mechanical properties, benchmarked against the predicate device.

    8. The sample size for the training set

    Not applicable. This document describes a physical medical device, not a machine learning model requiring a training set.

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

    Not applicable. No training set is mentioned.

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