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510(k) Data Aggregation

    K Number
    K033814
    Manufacturer
    Date Cleared
    2004-03-01

    (83 days)

    Product Code
    Regulation Number
    878.3300
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    BARD SOFT MESH, MODELS 0117001, 0117002, 0117003, 0117004, 0117005, 0117006, 0117007

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Indicated to reinforce soft tissue where weakness exists, i.e., repair of hernias and chest wall defects.

    Device Description

    The proposed Bard Soft Mesh is a single layer of mesh constructed from polypropylene monofilament with a diameter of approximately 0.004 inches. The mesh is knitted to form a strong, porous, support material. The small diameter of the polypropylene monofilament allows for a thin profile and creates a mesh with increased flexibility and a reduced amount of material compared to traditional monofilament polypropylenc meshes. The proposed device is manufactured utilizing a strong knit design that allows for bi-directional flexibility and tailoring in any direction. The proposed device will be marketed as a stcrile, single use device and will be available in several sizes of rectangular sheets and pre-shaped forms. The option to restcrilize unused mesh has been provided in the instructions for use.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for a medical device called "Bard Soft Mesh." This documentation is for regulatory clearance based on substantial equivalence rather than a clinical trial demonstrating efficacy against specific acceptance criteria. Therefore, most of the requested information (sample sizes, expert qualifications, adjudication methods, MRMC studies, standalone performance, training sets, etc.) is not applicable or cannot be extracted from this type of regulatory submission.

    The document primarily focuses on demonstrating that the Bard Soft Mesh is substantially equivalent to predicate devices already on the market, based on its materials, design, and intended use, supported by biocompatibility and bench testing.

    Here's a breakdown of the information that can be extracted or that is not applicable:

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

      Acceptance CriteriaReported Device Performance
      Biocompatibility (non-toxic, non-sensitizing)"The biocompatibility test results show that the material used in the design and manufacture of the device is non-toxic and non-sensitizing to biological tissues consistent with its intended use."
      Meeting established specifications for consistent performance during intended use (related to material and design)"Laboratory test results demonstrate that the material chosen and the design utilized in manufacturing Bard Soft Mesh will meet the established specifications necessary for consistent performance during its intended use."
      Similar physical attributes and performance characteristics as predicates"The proposed device has similar physical attributes and performance characteristics as the predicates Bard Mesh, ProLite Ultra and Mersilene Mesh. Furthermore, it has the same materials and similar manufacturing methods as the predicate Bard Mesh. The key differences in the proposed device compared to the predicate devices is in the diameter of the polypropylene monofilaments and the knit pattern of the mesh... to create a thinner, lighter weight mesh while also reducing the amount of material... and to allow for a more even stretch in both directions of the prosthesis." (Implies these changes still result in similar performance, confirmed by bench testing).
      Intended Use"Bard Soft Mesh and the predicate Bard Mesh have an identical intended use. Both devices are indicated to reinforce soft tissue where weakness exists, i.c., repair of hernias and chest wall defects."

      Note: The "acceptance criteria" here are drawn from the statements made about the product's performance relative to its intended use and predicate devices, which are typical for a 510(k) submission.

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

      • Sample Size: Not specified. The document mentions "biocompatibility and bench testing" but does not detail the sample sizes for these tests.
      • Data Provenance: Not specified, but likely internal lab testing conducted by Davol, Inc. This is not a clinical study involving human patients; it refers to laboratory and material testing.
    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

      • This is not applicable as this is not a study involving expert consensus on images or clinical data. The "ground truth" for biocompatibility and bench testing would be the measured properties relative to established standards or predicate device properties.
    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:

      • Not applicable, as this is not a study requiring adjudication of clinical or imaging 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 is not an AI/software device and no MRMC study was performed or is relevant to this type of device.
    6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done:

      • Not applicable, as this is not an AI/software device. The "standalone" performance here would refer to the physical and biological properties of the mesh itself, which were assessed through bench and biocompatibility testing.
    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):

      • The "ground truth" for the performance data mentioned would be based on:
        • Biocompatibility Standards: Results compared against established safety standards for biological tissues.
        • Material Science Specifications: Measured physical properties (e.g., tensile strength, porosity, flexibility) compared against engineering specifications and predicate device properties.
    8. The sample size for the training set:

      • Not applicable. This is not an AI/machine learning device that uses a "training set."
    9. How the ground truth for the training set was established:

      • Not applicable, as there is no training set.
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