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510(k) Data Aggregation

    K Number
    K143140
    Device Name
    G-Premio BOND
    Manufacturer
    Date Cleared
    2015-04-20

    (168 days)

    Product Code
    Regulation Number
    872.3200
    Panel
    Dental
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    G-Premio BOND

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use
      1. Bonding of light cured composites and acid modified composites (compomers) to tooth structure.
    • Bonding of dual cured luting and core build up composites to tooth structure as long as these materials 2. are light cured.
      1. Intraoral repairs of porcelain fused to metal crowns and composite veneer crowns with metal backing.
    • Intraoral repairs of all ceramic crowns (except zirconia and alumina), hybrid resin jacket crowns, 4. CAD/CAM hybrid resin crowns and composites.
      1. Intraoral repairs of porcelain fused to zirconia crowns, porcelain fused to alumina crowns and full zirconia crowns.
    • Treatment of hypersensitive teeth. 6.
    Device Description

    G-Premio BOND is a one component, light-cured bonding agent available in a 5 mL liquid bottle or unit dose.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the G-Premio BOND device, organized according to your requested points:

    Note: The provided document is a 510(k) premarket notification summary. This type of document focuses on demonstrating substantial equivalence to a legally marketed predicate device, rather than providing a detailed report of a device's standalone performance or clinical trials as might be found in a full scientific publication. Therefore, some of your requested information, particularly regarding "study" details like sample sizes for training sets, adjudication methods, or MRMC studies, is not present in this regulatory submission. The "study" described here is primarily a bench test to show compliance with internal specifications and substantial equivalence, not a clinical trial.


    Acceptance Criteria and Reported Device Performance

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

    PropertyRequirementsReported Device Performance (Implied)
    1. AppearanceShould be homogenous and free from foreign mattersConforms (implied by "conforms to the required specifications")
    2. Curing propertyShould be cured and formed filmConforms (implied by "conforms to the required specifications")
    3. Bond strength to tooth structure> 10 MPa for enamel

    10 MPa for dentin | Equivalent to predicate bond strengths in enamel and dentin bonding. Results met the >10MPa requirement. |
    | 4. Bond strength to metal | > 10 MPa for precious metal
    10 MPa for non-precious metal | > 10 MPa (implied by "equivalent to the predicate bond strengths") |
    | 5. Bond strength to ceramic and composite | > 10 MPa for porcelain
    10 MPa for composite
    10 MPa for zirconia | > 10 MPa (implied by "equivalent to the predicate bond strengths") |
    | 6. Application characteristics | Should be formed even and homogenous coat. | Conforms (implied by "conforms to the required specifications") |
    | 7. Sealing property of dentin tubules | Should be sealed dentin tubules when observed using SEM | Dentin tubules were sealed (supported by SEM images) |

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

    • Sample Size for Test Set: Not explicitly stated in the document for the bench tests.
    • Data Provenance: The document implies that the testing was conducted by GC America Inc. or its parent company (GC Corporation), likely in a laboratory setting. There is no information regarding the country of origin of data or if it was retrospective or prospective in a clinical sense. These are bench test results, not clinical data.

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

    • This information is not provided in the document. The acceptance criteria were established by the company (GC America Inc. specification AB-15-Q-301-631(1)), and the performance was measured against these internal specifications and compared to a predicate device. There is no indication of external experts establishing a "ground truth" for the test set in the conventional sense of a clinical study.

    4. Adjudication method for the test set

    • This information is not applicable/not provided for these types of bench tests. Adjudication methods like "2+1" or "3+1" are typically used in clinical studies involving interpretation of results (e.g., imaging) by multiple readers, which is not the nature of the performance tests described here (e.g., bond strength, curing properties, appearance).

    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

    • No, an MRMC comparative effectiveness study was not done. This device is a dental bonding agent, a physical product, not an AI-powered diagnostic or assistive tool. Therefore, this question is not applicable to the device described.

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

    • No, this question is not applicable. The device is a dental bonding agent, and there is no algorithm involved. The performance tests are for the physical properties of the bonding agent itself.

    7. The type of ground truth used

    • For physical properties like bond strength, curing, appearance, pH, etc., the "ground truth" is defined by established scientific and engineering measurement standards and internal company specifications. For the sealing property of dentin tubules, the "ground truth" was visual confirmation via Scanning Electron Microscopy (SEM) images (implied to be assessed as "sealed").
    • For the purpose of the 510(k) submission, the ultimate "ground truth" for demonstrating substantial equivalence was showing that the device performed similarly to or better than the predicate device across key technical characteristics, and met its own predefined specifications.

    8. The sample size for the training set

    • This information is not applicable/not provided. There is no "training set" in the context of this device, as it is a physical product and not a machine learning model.

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

    • This information is not applicable/not provided. As above, there is no "training set" for this type of device.

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