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510(k) Data Aggregation

    K Number
    K221972
    Manufacturer
    Date Cleared
    2023-10-02

    (454 days)

    Product Code
    Regulation Number
    872.3630
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Warantec dental abutment is intended to be used with the root-form endosseous dental implant to aid in prosthetic rehabilitation.

    All digitally designed abutments for use with Warantec Custom Abutments are intended to be sent to a Warantec-validated milling center for manufacture.

    Device Description

    Warantec Custom Abutments are used for cement-retained crowns and bridges using customized abutment considering based on the patient's mouth using CAD/CAM system. That is customized abutment considering shape of the final prosthesis based on the patient's mouth model using CAD/CAM system during the manufacturing. The Warantec Custom Abutment are made of Ti-6A1-4V ELI (ASTM F136). These devices are supplied non-sterile and autoclaved by the end user and intended for single use only. Warantec Custom Abutments are compatible with IU Implant System.

    AI/ML Overview

    I am sorry, but the provided text does not contain the information required to answer your request regarding the acceptance criteria and the study that proves the device meets the acceptance criteria in the format you specified.

    The document is a 510(k) summary for a dental abutment, primarily focusing on demonstrating substantial equivalence to predicate devices based on design, materials, and intended use. It lists non-clinical testing data such as:

    • Steam sterilization validation
    • Biocompatibility of the material
    • Fatigue testing according to ISO 14801:2016 and FDA Special Controls Guidance Document.
    • Non-clinical worst-case MRI review.

    However, it does not provide specific acceptance criteria values for these tests or reported device performance against those criteria in a tabular format. It also explicitly states: "No clinical data were included in this submission."

    Therefore, I cannot extract details like:

    • A table of acceptance criteria and reported device performance.
    • Sample size used for a test set or data provenance.
    • Number of experts or their qualifications.
    • Adjudication method.
    • Multi-reader multi-case (MRMC) comparative effectiveness study results.
    • Standalone performance.
    • Type of ground truth used.
    • Sample size for the training set.
    • How ground truth for the training set was established.
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    K Number
    K221969
    Manufacturer
    Date Cleared
    2023-05-12

    (311 days)

    Product Code
    Regulation Number
    872.3630
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Warantec dental abutment is intended to be used with the root-form endosseous dental implant to aid in prosthetic rehabilitation.

    Device Description

    The IU Implant System Abutment is a dental implant superstructure made of titanium alloy. It is an abutment used to support or maintain the restoration after the implantation of the fixture in the oral cavity. The abutments are provided non-sterile and should be sterilized before use.

    AI/ML Overview

    This document is a 510(k) summary for the IU Implant System Abutment, a dental implant superstructure. It describes the device, its intended use, and a comparison to predicate devices to demonstrate substantial equivalence. However, it does not contain the specific acceptance criteria or a study proving the device meets those criteria in the context of device performance metrics such as sensitivity, specificity, accuracy, or effect size for AI assistance. The document focuses on showing the device's substantial equivalence to existing predicate devices based on design, materials, and non-clinical testing.

    Therefore, many of the requested details cannot be extracted from the provided text.

    Here is a breakdown of what can and cannot be provided based on the input:

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

    • Acceptance Criteria: Not explicitly stated in terms of performance metrics (e.g., sensitivity, specificity, accuracy). The acceptance criteria are implicitly related to demonstrating substantial equivalence to predicate devices through comparisons of material, design, intended use, and non-clinical testing results (fatigue, biocompatibility, sterilization, MRI safety).
    • Reported Device Performance: Performance is reported in terms of meeting specific standards and showing substantial equivalence in non-clinical tests, rather than clinical performance metrics.
    Acceptance Criteria (Implied from Non-Clinical Testing)Reported Device Performance
    Sterility Assurance Level (SAL) of 10^-6Validated according to ISO 17665-1 and ISO 17665-2
    Biocompatibility of Ti-6A1-4V ELI (ASTM F136)Demonstrated by referenced Warantec submission K172345 (same materials/manufacturing)
    Fatigue Resistance (worst case)Conducted according to ISO 14801:2016 and FDA Special Controls Guidance Document
    Magnetic Resonance (MR) Environment SafetyNon-clinical worst-case MRI review performed using scientific rationale and published literature, addressing displacement force and torque.
    Substantial Equivalence to Predicate DevicesDemonstrated through comparison of intended use, design, material, surface treatment, connection, and dimensions. Minor differences (surface treatment, angulation, dimensional range) do not affect fundamental function.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective):

    • Not applicable for performance metrics. The "tests" mentioned are non-clinical (sterilization, biocompatibility, fatigue, MRI review). These typically involve a specific number of samples for mechanical or material testing, but not a "test set" from patients or images.
    • Data Provenance: The submission is from Warantec Co., Ltd. in the Republic of Korea. The testing itself (e.g., ISO standards) does not specify "data provenance" in the way clinical studies would.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience):

    • Not applicable. This information is relevant for clinical studies or studies using expert readers for image interpretation, which were not conducted for this submission ("No clinical data were included in this submission.").

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

    • Not applicable. This relates to clinical or expert-read studies, which were not performed.

    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 is a dental implant abutment, not an AI-powered diagnostic device. The submission explicitly states, "No clinical data were included in this submission."

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

    • Not applicable. This is not an AI algorithm; it's a physical medical device.

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

    • For the non-clinical tests:
      • Sterilization: Ground truth is defined by the objective measurement of sterility (SAL) and adherence to ISO standards.
      • Biocompatibility: Ground truth is established by chemical composition and biological response testing, adhering to material standards (ASTM F136) and prior submissions.
      • Fatigue: Ground truth is based on physical endurance under simulated physiological loads according to ISO standards.
      • MRI Safety: Ground truth is based on existing scientific literature and physics principles related to magnetic forces and materials.

    8. The sample size for the training set:

    • Not applicable. This is not an AI device that requires a training set.

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

    • Not applicable. No training set was used.
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