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510(k) Data Aggregation

    K Number
    K092194
    Device Name
    POLYBONE DENTAL
    Date Cleared
    2010-06-16

    (330 days)

    Product Code
    Regulation Number
    872.3930
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    POLYBONE DENTAL

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

    PolyBone® Dental is indicated to fill, augment, or reconstruct periodontal or bony defects of the oral and maxillofacial region. It is specifically for the augmentation of deficient maxillary and mandibular alveolar ridges and the treatment of oral, maxillofacial and dental intraosseous defects including: ridge augmentation; sinus lifts; craniofacial augmentation; filling of defects of endodontic origin; filing of cystic defects; filling of extraction site; filling of lesions of periodontal origin; repair of traumatic defects of the alveolar ridge; filling resection defects in bone tumors; cysts or other osseous defects; and substitute for autogenous of allergenic bone grafts. PolyBone® Dental is a bone graft substitute that resorbs and it is replaced with bone during the healing process.

    Device Description

    PolyBone® Dental is a synthetic resorbable calcium phosphate bone grafting material which consists of 100% beta-tricalcium phosphate. It is an osteoconductive material which provides a porous scaffold upon which bone formation can occur. The multidirectional interconnected porosity ranges from 7585% with a 200500 um pore size. Mechanism of PolyBone Dental's bone regeneration works by bone cells resorbing dicalciumphosphate dihydrate (DCPD, brushite), which is a conversion material of ß tricalcium phosphate.

    AI/ML Overview

    This document describes a 510(k) submission for a device called "PolyBone® Dental". The submission focuses on establishing substantial equivalence to predicate devices rather than presenting a study with specific acceptance criteria and performance metrics. Therefore, many of the requested details are not available in the provided text.

    Here is the information that can be extracted or inferred:

    1. Table of acceptance criteria and the reported device performance

    No explicit acceptance criteria or quantitative performance metrics are provided in the document. The submission's goal is to demonstrate "substantial equivalence" to predicate devices, focusing on similar technological characteristics, components, indication for use, chemical properties, and performance properties.

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

    Not applicable. This is a 510(k) submission based on demonstrating substantial equivalence, not a clinical trial with a test set of patient data from specific geographical locations.

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

    Not applicable. Ground truth for a test set is not discussed as this is not a study assessing diagnostic or prognostic performance based on patient data.

    4. Adjudication method for the test set

    Not applicable.

    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 MRMC study was done. This device is a bone grafting material, not an AI-assisted diagnostic tool.

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

    Not applicable. This device is a bone grafting material, not an algorithm.

    7. The type of ground truth used

    Not applicable in the context of a performance study for a diagnostic algorithm. The "ground truth" for this 510(k) submission is the demonstrated equivalence to legally marketed predicate devices, which implies that the predicate devices themselves are considered safe and effective.

    8. The sample size for the training set

    Not applicable. PolyBone® Dental is a physical medical device (bone grafting material), not an AI algorithm that requires a training set.

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

    Not applicable.

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    K Number
    K082338
    Date Cleared
    2008-10-16

    (63 days)

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

    POLYBONE GRANULE & BLOCK

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

    PolyBone® Granule & Block is indicated for filling bone voids or defects that are not intrinsic to the stability of the bony structure. PolyBone® Granule & Block is to be packed into bony voids or gaps of the skeletal system (such as extremities, spine and the pelvis). These defects may be surgically created osseous defects or osseous defects created from traumatic injury to the bone. PolyBone® Granule & Block is a bone graft substitute that resorbs and it replaced with bone during the healing process.

    Device Description

    PolyBone® Granule & Block is a synthetic resorbable calcium phosphate bone void filler consisted of 99.99% beta-tricalcium phosphate, and 0.01% polyphosphate. It is an osteoconductive material which provides a porous scaffold upon which bone formation can occur. The multidirectional interconnected porosity ranges from 7585% with a 200500 um pore size. Mechanism of PolyBone® Granule & Block's bone regeneration works by bone cells resorbing polyphosphate, which is a bone regenerating palpation material. Indication for use of PolyBone® Granule & Block is a filler of bone void regions. The device is available in a variety of shape and sizes.

    AI/ML Overview

    The provided document is a 510(k) summary for a medical device called "PolyBone® Granule & Block," which is a resorbable calcium salt bone void filler. This type of submission focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than clinical efficacy through studies with acceptance criteria for device performance.

    Therefore, the document does not contain information related to acceptance criteria, specific device performance metrics, or a study of the device's clinical performance against such criteria. It relies on similarity to predicate devices and biocompatibility testing.

    Here's an explanation based on the information provided and what is typically found in a 510(k) for this type of device:

    1. Table of acceptance criteria and the reported device performance:

    • Not applicable / Not provided. The 510(k) submission for "PolyBone® Granule & Block" does not detail performance acceptance criteria for clinical outcomes (e.g., bone regeneration rate, fusion success rate) or specific device functions beyond its material properties and chemical composition. The "performance properties similarities" section refers to its intended use and material characteristics, not quantitative performance metrics.

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

    • Not applicable / Not provided. No test set for clinical performance is described as this is a 510(k) submission based on substantial equivalence, not a clinical trial. The "test set" mentioned in typical AI/ML studies is not relevant here.

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

    • Not applicable / Not provided. Ground truth determination by experts for a test set is specific to studies evaluating diagnostic or predictive algorithms, which is not the nature of this submission.

    4. Adjudication method for the test set:

    • Not applicable / Not provided. Adjudication methods are used in studies involving expert review of data, which is not described here.

    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 / Not provided. MRMC studies are conducted for diagnostic imaging devices or AI-assisted diagnostic tools. "PolyBone® Granule & Block" is a bone void filler, a therapeutic device, thus this type of study is not relevant.

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

    • Not applicable / Not provided. This question pertains to AI/ML algorithms. "PolyBone® Granule & Block" is a physical medical device (bone void filler), not an algorithm.

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

    • Not applicable / Not provided. As no clinical performance study against specific criteria is described, there's no mention of a "ground truth" for clinical outcomes. The "ground truth" for this device largely rests on its chemical composition being consistent, its biocompatibility, and its mechanical properties being suitable for its intended use as a bone void filler, and its similarity to established predicate devices.

    8. The sample size for the training set:

    • Not applicable / Not provided. This question is relevant for AI/ML models. No training set is mentioned as this is a physical medical device.

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

    • Not applicable / Not provided. Similar to point 8, this is not relevant for this device.

    Summary of the K082338 Submission:

    The K082338 submission for PolyBone® Granule & Block primarily focuses on demonstrating substantial equivalence to existing legally marketed predicate devices (Kasios TCP, Vitoss Scaffold) by showing similarities in:

    • Components: All devices are packed in a container.
    • Indication for Use: All devices have the same indication for use: filling bone voids or defects that are not intrinsic to the stability of the bony structure.
    • Chemical Similarities: All devices are made up of the ß-Tricalcium phosphate family. (PolyBone® is 99.99% beta-tricalcium phosphate, and 0.01% polyphosphate).
    • Performance Properties Similarities: All devices are for filling bone voids or defects that are not intrinsic to the stability of the bony structure.
    • Biocompatibility: The device underwent ISO10993-1:2003 testing (cytotoxicity, sensitization, intracutaneous reactivity, systemic toxicity, subchronic toxicity, genotoxicity, and implantation) and was found to be "biologically safe."

    The FDA's review concluded that the device is "safe and effective and substantially equivalent to predicate device." This means it does not present new questions of safety or effectiveness compared to the predicate devices, and therefore does not require extensive new clinical studies to prove efficacy against defined acceptance criteria.

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    K Number
    K070012
    Device Name
    POLYBONE
    Date Cleared
    2007-12-27

    (358 days)

    Product Code
    Regulation Number
    882.5300
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    POLYBONE

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

    PolyBone is a self-setting, calcium phosphate cement intended for use in the repair of neurosurgical burr holes, contiguous craniotomy cuts and other cranial defiect as well as in the augmentation or restoration of bony contour in the craniofacial skeleton.

    Device Description

    PolyBone consists of beta-tricalcium phosphate, monocalcium monobasic, calcium sulfate hemihydrate and polyphosphate. PolyBone is indicated for use as cranioplasty cement.

    AI/ML Overview

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

    PropertyAcceptance Criteria (Predicate: Stryker Instruments K043334)Reported Device Performance (PolyBone)
    Doughing TimeSimilar to predicateSimilar to predicate
    Setting TimeSimilar to predicateSimilar to predicate
    Working TimeSimilar to predicateSimilar to predicate
    pHSimilar to predicateSimilar to predicate
    Compressive StrengthMinimum 2.6 MPa (ISO 7490:2000 Type 2)22.7 MPa
    Dissolution RateNot explicitly stated as acceptance criteriaMore rapid rate than the predicate
    BiocompatibilityPass ISO 10993-1:2003 standardsBiologically safe

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

    The document does not mention a specific "test set" in the context of clinical studies for performance comparison or data provenance. The performance similarities are based on comparative material property testing.

    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)

    This information is not applicable as the submission details material property comparisons and biocompatibility testing, not a clinical study involving experts for ground truth establishment.

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

    This information is not applicable.

    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

    This information is not applicable as this device is an artificial bone substitute, not an AI-powered diagnostic or assistive tool for human readers.

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

    This information is not applicable as this is a medical device (bone substitute), not an algorithm.

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

    For the material properties (doughing time, setting time, working time, pH, compressive strength, dissolution rate), the "ground truth" or reference was derived from established standards (e.g., ISO 7490:2000 for compressive strength) and comparison to a legally marketed predicate device. For biocompatibility, the ground truth was based on compliance with ISO 10993-1:2003 guidelines.

    8. The sample size for the training set

    This information is not applicable as this is a medical device (bone substitute), not a machine learning model requiring a training set.

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

    This information is not applicable.

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