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510(k) Data Aggregation

    K Number
    K241250
    Device Name
    3DMax Light Mesh
    Date Cleared
    2024-06-14

    (42 days)

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

    3DMax Light Mesh

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use
    Device Description
    AI/ML Overview
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    K Number
    K091659
    Manufacturer
    Date Cleared
    2009-08-03

    (55 days)

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

    BARD 3DMAX LIGHT MESH, MODELS: 0117310, 0117311, 0117312, 0117320, 0117321, 011732

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

    The Bard® 3DMAX™ Light Mesh will be indicated for use in the reinforcement of soft tissue where weakness exists, such as the repair of hernia defects.

    Device Description

    The Proposed Bard® 3DMAX™ Light Mesh, is designed to fit the inguinal anatomy. The device is anatomically shaped and preformed with sealed edges that allow for easier positioning of the device than a traditional flat sheet of mesh in a laparoscopic inguinal hernia repair. The device is constructed of knitted polypropylene monofilaments 0.0048 inches in diameter. The knit construction allows the mesh to be stretched in both directions in order to accommodate and reinforce tissue defects. The device contains an orientation marker in an "M" shape to designate the medial edge of the mesh and an arrow pointing to the medial aspect. Both the arrow and "M" will aid the user during positioning and placement of the device. The orientation marker is composed of polypropylene monofilament dyed with Phthalocyaninato(2-) copper colorant.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and the study details for the Bard® 3DMAX™ Light Mesh, based on the provided document:

    This device (Bard® 3DMAX™ Light Mesh) is a surgical mesh and not an AI/ML powered device. Therefore, many of the typical questions related to AI/ML device testing (e.g., number of experts, adjudication methods, multi-reader multi-case studies, separate training/test sets, or ground truth establishment for AI) are not applicable to this submission. The device is evaluated through physical and performance testing to demonstrate substantial equivalence to predicate devices.

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state "acceptance criteria" in a numerical or pass/fail table format with specific ranges. Instead, it describes a comparative study showing that the Proposed Bard® 3DMAX™ Light Mesh performs similarly to predicate devices across various physical and performance characteristics. The acceptance criterion implicitly is "demonstrates substantial equivalence to predicate devices."

    CharacteristicProposed Device (Bard® 3DMAX™ Light Mesh) PerformancePredicate Device(s) (Bard® Soft Mesh, 3DMAX™ Mesh, Mersilene Mesh) PerformanceAcceptance Criteria (Implicit)
    Physical AttributesSubstantially Equivalent
    ThicknessTestedTestedSimilar to Predicates
    Pore SizeLarger knit construction than Bard 3D Max™ MeshDefined for PredicatesConsidered acceptable
    DensityTestedTestedSimilar to Predicates
    Material Weight0.0272 grams/square inchMersilene Mesh: 0.0274 g/sq in; Soft Mesh: 0.0282 g/sq inComparable to Predicates
    Mechanical PerformanceSubstantially Equivalent
    StiffnessTestedTestedSimilar to Predicates
    Tensile StrengthTestedTestedSimilar to Predicates
    Percent ElongationTestedTestedSimilar to Predicates
    Suture Pullout StrengthTestedTestedSimilar to Predicates
    Burst StrengthTestedTestedSimilar to Predicates
    Tear ResistanceTestedTestedSimilar to Predicates
    BiocompatibilityAcceptable results for polypropylene material and colorantAcceptable results for predicate materialsMeets Biocompatibility Standards

    2. Sample Size Used for the Test Set and Data Provenance

    • Sample Size for Test Set: The document does not specify exact numerical sample sizes for each laboratory test. It generally states that "Laboratory bench testing was performed."
    • Data Provenance: The tests were conducted internally by Davol Inc. (a subsidiary of C.R. Bard, Inc.). The data is from laboratory bench testing, presumably conducted prospectively for this submission. The country of origin of the data is not specified but implicitly is the USA, given the submission to the FDA.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    • N/A. This is not an AI/ML device relying on expert interpretation for ground truth. Performance is assessed through objective, quantifiable laboratory bench tests.

    4. Adjudication Method for the Test Set

    • N/A. Adjudication methods are typically used for subjective assessments or when multiple experts are involved in establishing ground truth, which is not the case for material and mechanical property testing of a surgical mesh.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    • No. This is not an AI/ML device that interacts with human readers for diagnostic or interpretive tasks. MRMC studies are not relevant for evaluating the physical and performance characteristics of a surgical mesh.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    • N/A. This is not an algorithm. The device's performance is inherently "standalone" in that its physical and mechanical properties are measured directly.

    7. The Type of Ground Truth Used

    • Objective Laboratory Measurements: The "ground truth" for this device's performance relies on established engineering and materials testing standards. For example, tensile strength is measured against a standard procedure, and the result is an objective numerical value. Biocompatibility is assessed against recognized biological evaluation standards (e.g., ISO 10993 series). The comparison is then made against the measured performance of legally marketed predicate devices.

    8. The Sample Size for the Training Set

    • N/A. This is not an AI/ML device; there is no "training set."

    9. How the Ground Truth for the Training Set Was Established

    • N/A. There is no training set as it is not an AI/ML device.
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