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510(k) Data Aggregation

    K Number
    K141189
    Manufacturer
    Date Cleared
    2015-01-30

    (267 days)

    Product Code
    Regulation Number
    888.3045
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    NANOBONE / GRANULATE

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

    NanoBone® bone graft substitutes are intended for use as bone void fillers for voids or gaps that are not intrinsic to the stability of the bony structure. NanoBone® bone graft substitutes are indicated for use in the treatment of surgically created osseous defects or osseous defects resulting from traumatic injury to the bone. NanoBone® bone graft substitutes are intended to be packed into bony voids or gaps of the skeletal system as a bone void filler (i.e., extremities and pelvis). This product provides a bone void filler that resorbs and is replaced by bone during the healing process.

    Device Description

    NanoBone consists of phase-pure non-sintered nanocrystalline osteoconductive hydroxylapatite (HA) embedded in a highly porous silica gel matrix. The interconnected and open porous structure of NanoBone is similar to human cancellous bone. NanoBone is available as an irregular granulate.

    AI/ML Overview

    The provided document describes the NanoBone® bone graft substitutes - NanoBone® | granulate device. It focuses on demonstrating substantial equivalence to predicate devices rather than providing acceptance criteria for a novel device or an AI/ML powered device. Due to this, much of the requested information about AI model performance is not present in the document.

    However, I can extract information related to the device's performance data and the studies performed to demonstrate its substantial equivalence as a medical device.

    1. Table of Acceptance Criteria and Reported Device Performance

    Since this is a submission for a traditional medical device (bone graft substitute) and not an AI/ML powered device, "acceptance criteria" are related to meeting established standards and demonstrating equivalence to existing products, rather than metrics like sensitivity, specificity, or AUC.

    Acceptance Criteria CategorySpecific Criteria / Standard MetReported Device Performance (NanoBone®)
    Bench TestingAll relevant requirements for Calcium Salt Bone Void Fillers, including ASTM F1185Met: Products meet all relevant requirements, including ASTM F1185.
    Material CharacterizationChemical/elemental composition, phase purity/XRD, dissolution characteristicsCharacterized: Testing performed for chemical/elemental analysis, phase purity/XRD, and dissolution testing. (Specific results not detailed in this summary, but implied to be acceptable for equivalence).
    BiocompatibilityBiocompatibility standardsValidated: Biocompatibility testing performed. (Specific results not detailed, but implied to be acceptable).
    SterilizationSterilization validation standardsValidated: Sterilization validation performed. (Specific results not detailed, but implied to be acceptable).
    In Vivo PerformanceRadiographic, histologic, and histomorphometric characteristics comparable to controls in bone healingDemonstrated: Animal testing showed substantial equivalence through determination of these characteristics in a critical-sized defect model.

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

    • Animal Testing (analogous to a test set for in-vivo performance):
      • The document mentions "a critical-sized defect model in the sheep tibia."
      • The sample size for the animal study (number of sheep or defects) is not specified in the provided text.
      • Data Provenance: This was a prospective animal study. The country of origin is not explicitly stated, but the manufacturer is ARTOSS GmbH in Germany, suggesting it could have been conducted there or in a collaborating country.

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

    • Ground truth for the animal study would have been established by methods such as radiographic analysis, histological examination, and histomorphometric analysis.
    • The document does not specify the number or qualifications of experts (e.g., veterinary radiologists, pathologists) who established this ground truth.

    4. Adjudication method for the test set

    • The document does not specify an adjudication method for the animal study's assessments.

    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 document is for a bone graft substitute, not an AI/ML powered device. Therefore, no MRMC study, human reader improvement with AI, or effect size is mentioned or relevant to this submission.

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

    • Not applicable. This is a physical bone graft substitute, not an algorithm or AI/ML device.

    7. The type of ground truth used

    • For the in-vivo performance (animal study), the ground truth relied on direct biological and imaging evidence:
      • Radiographic characteristics: Imaging used to assess bone healing.
      • Histologic characteristics: Microscopic examination of tissue samples.
      • Histomorphometric characteristics: Quantitative microscopic analysis of tissue structures.
      • Controls: Autograft bone-filled defects (positive control) and empty unfilled defects (negative control) served as benchmarks.

    8. The sample size for the training set

    • Not applicable. This is a physical medical device, not an AI/ML powered device. There is no concept of a "training set" in this context.

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

    • Not applicable. As above, there is no training set for this type of device.
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