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510(k) Data Aggregation

    K Number
    K983414
    Device Name
    EVERBOND
    Manufacturer
    Date Cleared
    1998-12-16

    (79 days)

    Product Code
    Regulation Number
    872.3200
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Everbond® system is intended to bond composite and compomer restorative material to the tooth structure (dentin and enamel)

    Device Description

    resin-based tooth bonding system, tradenamed Everbond®. The Everbond® system is intended to bond composite and compomer restorative material to the tooth structure (dentin and enamel), and is composed of an etching gel and a primer/bond formulation.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and the study details for the Everbond® system, based on the provided text:

    1. Acceptance Criteria and Reported Device Performance

    The provided document describes the Everbond® system's substantial equivalence to predicate devices, focusing on shear bond strength. The acceptance criteria are implicitly that the Everbond® system's shear bond strength should be comparable to or not inferior to the predicate device, Dentsply's Multipurpose Dentin/Enamel Bonding Agent Bond & Prime 2.1®. While specific numerical acceptance thresholds are not explicitly stated, the study's purpose is to demonstrate substantial equivalence through comparison.

    Table of Acceptance Criteria and Reported Device Performance:

    Acceptance Criteria CategorySpecific Acceptance Criteria (Implicit)Reported Device Performance (Everbond®)
    Shear Bond StrengthShear bond strength comparable to Dentsply's Bond & Prime 2.1®Compared by two independent institutes to Bond & Prime 2.1® (Specific values not provided, but the submission implies successful comparison for substantial equivalence)
    Material CompositionComposition substantially equivalent to ESPE's Pertac® II, Hytac®, and Hytac® OSBCompositions were compared and found to be substantially equivalent.

    2. Sample Size and Data Provenance

    • Sample Size for Test Set: Not explicitly stated. The document mentions "the shear bond strength of the Everbond® system has been compared to that of Bond & Prime 2.1º by two institutes," but does not specify the number of samples or specimens tested.
    • Data Provenance:
      • Country of Origin: USA (University of Houston, Texas) and Germany (University of Regensburg).
      • Retrospective or Prospective: Not explicitly stated, but clinical testing for bond strength is typically prospective.

    3. Number of Experts and Qualifications for Ground Truth

    Not applicable for this type of device and study. The "ground truth" here is the measured shear bond strength, not expert interpretation of images or clinical outcomes requiring consensus. The "experts" involved are presumably the researchers and technicians at the two university institutes conducting the laboratory tests.

    4. Adjudication Method for the Test Set

    Not applicable. Shear bond strength is a quantitative, objective measurement, not subject to adjudication in the same way as, for example, diagnostic image interpretation.

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

    Not applicable. This device is a dental bonding agent, and its performance is evaluated through material properties like shear bond strength, not through human reader interpretation of cases.

    6. Standalone (Algorithm Only) Performance

    Not applicable. This device is a physical product (a bonding agent), not an algorithm or AI system.

    7. Type of Ground Truth Used

    • Shear Bond Strength: The ground truth is the direct measurement of bond strength through standardized laboratory testing methods (e.g., universal testing machine to apply shear force until failure).
    • Material Composition: The ground truth is the chemical analysis of the composition of the materials.

    8. Sample Size for the Training Set

    Not applicable for this submission. The "training set" concept is typically relevant for machine learning algorithms. For a medical device like a dental bonding agent, the development process might involve iterative testing and refinement, but it's not formally referred to as training a model. The provided document focuses on the final validation of the product.

    9. How Ground Truth for the Training Set Was Established

    Not applicable. (See point 8). The "ground truth" for product development would be based on established dental material science principles, previous product data, and laboratory testing.

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