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510(k) Data Aggregation

    K Number
    K152600
    Date Cleared
    2016-06-23

    (286 days)

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

    Collagen Dental Wound Dressings

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

    Collagen Dental Wound Dressings are indicated for the management of oral wounds and sores, including:

    • Denture sores
    • Oral ulcers (non-infected or viral)
    • Periodontal surgical wounds
    • Suture sites
    • Burns
    • Extraction sites
    • Surgical wounds
    • Traumatic wounds
    Device Description

    Collagen Dental Wound Dressings are absorbent, porous, collagen matrices engineered from purified collagen derived from bovine dermis tissue. The Collagen Dental Wound Dressings are applied directly to the wound and protect the wound and delicate new tissue. Collagen Dental Wound Dressings can be removed, replaced or left in situ. If left in situ the dressings will be essentially resorbed in 30 days. Collagen Dental Wound Dressings are available in tape, sponge and plug form, and are supplied sterile, non-pyrogenic and for single use only.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for "Collagen Dental Wound Dressings" (K152600). This document focuses on demonstrating substantial equivalence to predicate devices rather than proving the device meets specific acceptance criteria through a comparative effectiveness study or a comprehensive study with human readers.

    Here's an analysis of the requested information based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    Strict "acceptance criteria" as would be set for a clinical trial with specific performance metrics (e.g., sensitivity, specificity for diagnostic devices, or specific clinical outcomes for therapeutic devices) are not explicitly stated in this 510(k) summary. Instead, the focus is on demonstrating "substantial equivalence" of the Collagen Dental Wound Dressings to its predicate devices by comparing technical characteristics and showing similar in vitro and in vivo performance in non-clinical tests.

    The criteria for demonstrating substantial equivalence are implicitly that the new device performs comparably to the predicate devices in various tests.

    ParameterAcceptance Criteria (Implied: Similar to Predicate)Reported Device Performance (Collagen Dental Wound Dressings)
    MaterialPurified Collagen (similar to predicate)Purified Collagen
    Collagen SourceBovine Dermis (similar to K142712 predicate) / Porcine Tendon (K122115)Bovine Dermis
    FormPorous Collagen Matrix (similar to predicate)Porous Collagen Matrix
    ColorWhite to off-white (similar to predicate)White to off-white
    ShapesRectangular and Cylindrical (similar to predicate)Rectangular and Cylindrical
    SizesSpecific sizes (25x75x1mm, 20x40x3mm, 10mm(ID) x 20mm(L)) (similar)Specific sizes (25x75x1mm, 20x40x3mm, 10mm(ID) x 20mm(L))
    AbsorbencyAbsorbs local wound fluids upon application (similar)Absorbs local wound fluids upon application
    BiocompatibilityBiocompatible (similar to predicate)Biocompatible
    PyrogenicityNon-pyrogenic (similar to K122115 predicate)Non-pyrogenic
    CytotoxicityNon-cytotoxic (similar to predicate expectations)Non-cytotoxic
    SensitizationNo evidence of causing delayed dermal contact sensitizationNo evidence of causing delayed dermal contact sensitization
    Intracutaneous ReactivityNo erythema or edema from the extract injected intracutaneouslyNo erythema or edema from the extract injected intracutaneously
    ResiduesWithin acceptable limits (similar to predicate expectations)Within acceptable limits
    pHpH similar to predicate devicepH similar to predicate device
    Hydrothermal Transition Temp.Hydrothermal transition temperature similar to predicate deviceHydrothermal transition temperature similar to predicate device
    Viral InactivationViral inactivation demonstrated (similar to predicate expectations)Viral inactivation study performed
    ResorptionResorption profile comparable to predicate device (in animal model)Resorption study conducted in rat model

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

    The "test set" in this context refers to the samples used in the non-clinical tests (e.g., materials for in vitro characterization, animals for biocompatibility and resorption studies). The document does not specify exact sample sizes for each test. For example:

    • In vitro characterization: The number of samples for each test (Composition, Dimensions, Thickness, Density, Weight, Absorbency, pH, Hydrothermal transition temperature) is not specified.
    • Biocompatibility:
      • Cytotoxicity: Not specified.
      • Sensitization: "Guinea Pig Maximization" – typically involves a group of guinea pigs, but the exact number is not stated.
      • Intracutaneous Reactivity: "Intracutaneous Study in Rabbits" – typically involves a group of rabbits, but the exact number is not stated.
      • Pyrogenicity: "USP (151) Rabbit Pyrogen Study" – typically involves a few rabbits (e.g., 3-8), but the exact number is not stated.
    • Resorption study: "rat subcutaneous model" – typically involves a group of rats, but the exact number is not stated.
    • Viral inactivation study: Not specified how many samples/batches were tested.

    Data Provenance: The data comes from non-clinical laboratory studies (in vitro and in vivo animal models). The document does not mention any human data (retrospective or prospective) for these tests. The country of origin for these specific tests is not stated but implied to be part of the manufacturer's R&D process, likely within 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

    This information is not applicable as the document describes non-clinical testing. "Ground truth" established by human experts (e.g., radiologists, pathologists) is relevant for studies involving human data or diagnostic imaging. The "results" of these non-clinical tests are determined by standard laboratory methods and validated interpretations of those methods.

    4. Adjudication Method for the Test Set

    This information is not applicable for non-clinical laboratory testing. Adjudication methods (e.g., 2+1, 3+1) are used in clinical studies or studies evaluating diagnostic performance where independent reviewers assess cases, and discrepancies are resolved. The tests described here have objective outputs determined by the experimental protocols.

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

    No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not done. This type of study assesses the performance of human readers, sometimes with and without AI assistance, on a set of cases. The document describes a medical device (wound dressing) and its non-clinical characteristics, not a diagnostic or AI-enabled device requiring such a study.

    6. If a Standalone Study (i.e., algorithm only without human-in-the-loop performance) Was Done

    No, this refers to a medical device, not an algorithm or AI system. Therefore, the concept of "standalone performance" for an algorithm is not applicable.

    7. The Type of Ground Truth Used

    The "ground truth" for the non-clinical tests is established by the results of the standardized scientific tests themselves (e.g., an in vitro lab test concludes "Non-cytotoxic," an animal study shows "No evidence of causing delayed dermal contact sensitization"). These are objective measurements and observations determined by established methodologies rather than expert consensus, pathology reports (from human patients), or clinical outcomes data.

    8. The Sample Size for the Training Set

    This refers to a training set for machine learning models. Since this document is for a physical medical device (collagen wound dressings) and not an AI/ML product, the concept of a "training set" is not applicable.

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

    As there is no training set for an AI/ML model, this question is not applicable.

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    K Number
    K122115
    Date Cleared
    2012-11-01

    (107 days)

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

    COLLAGEN DENTAL WOUND DRESSINGS

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

    Collagen Dental Wound Dressings are intended for the management of oral wounds and sores, including:

    • Denture sores
    • Oral ulcers (non-infected or viral)
    • Periodontal surgical wounds
    • Suture sites
    • Burns
    • Extraction sites
    • Surgical wounds
    • Traumatic wounds
    Device Description

    Collagen Dental Wound Dressings are absorbent, porous, collagen matrices engineered from highly purified type I collagen derived from porcine Achilles tendon. The Collagen Dental Wound Dressings are applied directly to the wound and protect the wound and delicate new tissue. Collagen Dental Wound Dressings are supplied sterile, non-pyrogenic, in various sizes, and for single use only.

    AI/ML Overview

    This appears to be a 510(k) summary for a medical device (Collagen Dental Wound Dressings), which focuses on demonstrating substantial equivalence to predicate devices rather than proving performance against specific acceptance criteria through a clinical study. Therefore, some of the requested information (like MMRC studies, sample sizes for test/training sets with ground truth, expert qualifications) is not typically detailed in this type of submission.

    Here's an attempt to extract and infer the information based on the provided text:

    Acceptance Criteria and Device Performance Study

    The primary study conducted to assess the Collagen Dental Wound Dressings was a comparison to predicate devices through in vitro and in vivo (biocompatibility) tests, along with referencing the clinical history of the predicate devices. The device's performance is demonstrated by its substantial equivalence to the legally marketed predicate devices, Collacare Dental (K110388) and Collagen Wound Dressing - Oral (K040403).

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria CategorySpecific Acceptance Criteria (Inferred from equivalence claim)Reported Device Performance
    Technological CharacteristicsSimilar intended use, purified starting material (Type I collagen), form, sizes, physical integrity to predicate devices.The Collagen Dental Wound Dressings and their predicates have similar technological characteristics, including intended use, purified starting material (Type I collagen), form, sizes, and physical integrity.
    BiocompatibilityMeet applicable FDA Blue Book Memorandum G95-1 and ISO 10993-1 standards for biological evaluation of medical devices.The products passed all applicable FDA Blue Book Memorandum G95-1 and ISO 10993-1 testing for the biological evaluation of medical devices.
    Viral SafetyDemonstrate viral inactivation to ensure product safety.Viral inactivation studies were performed to ensure the viral safety of the product. (Specific acceptance thresholds for viral inactivation are not provided in this summary but are implied to have been met).
    Material PropertiesDemonstrate acceptable material properties (e.g., absorption, porosity, physical integrity) through in vitro characterization.In vitro characterization studies evaluated material properties, biological properties, chemical, and physical properties. (Specific results not detailed but implied to be acceptable for equivalence).
    SafetyNo unacceptable risks identified through in vitro, in vivo (biocompatibility), and viral inactivation studies.The results of the in vitro product characterization studies, in vitro and in vivo biocompatibility studies, and viral inactivation studies show that Collagen Dental Wound Dressings are safe.

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

    • Test Set Sample Size: Not applicable in the context of a traditional clinical study with a "test set" of patients/samples designed to evaluate performance against specific endpoints in humans. The "tests" here refer to in vitro and in vivo (animal or lab) studies.
    • Data Provenance: The studies were non-clinical (in vitro and in vivo biocompatibility, viral inactivation). The clinical history of the predicate devices was referenced, implying retrospective use of existing clinical data from those older devices. The country of origin for the non-clinical studies is not specified but would likely be the manufacturing or testing facilities used by Collagen Matrix, Inc. in the US.

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

    • This is not applicable as there was no traditional clinical "test set" with human data requiring expert ground truth establishment for this 510(k) submission. The evaluation relied on non-clinical data and comparison to existing predicate devices.

    4. Adjudication Method for the Test Set

    • Not applicable, as there was no clinical test set requiring adjudication of findings.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

    • No, an MRMC comparative effectiveness study was not done. The submission explicitly states: "No clinical tests were performed on the product, however clinical history of the predicate device was referenced in the submission."

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

    • Not applicable. This device is a physical wound dressing, not a software algorithm, so the concept of an "algorithm only" performance study does not apply.

    7. The Type of Ground Truth Used

    • For the non-clinical studies (in vitro and in vivo biocompatibility, viral inactivation), the "ground truth" was established by the scientific and regulatory standards (e.g., ISO 10993-1, FDA Blue Book Memorandum G95-1) and the successful completion of the tests according to established protocols.
    • For the equivalence claim, the "ground truth" was the established safety and effectiveness profile of the legally marketed predicate devices, as evidenced by their clinical history.

    8. The Sample Size for the Training Set

    • Not applicable. There was no "training set" in the context of an AI/algorithm.

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

    • Not applicable. There was no "training set."
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    K Number
    K033729
    Date Cleared
    2004-03-17

    (110 days)

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

    COLLAGEN DENTAL WOUND DRESSINGS

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

    Collagen Dental Sponge Membranes are intended for use in patients with moderate to Sollagen Bontal disease as a resorbable material for placement in periodontal defects to aid in wound healing post periodontal surgery.

    Device Description

    Description of the Dore." Conagen Domar Sponge recemsnufactured from crosslinked type I collagen derived from bovine Achilles tendon. The product is supplied sterile, non-pyrogenic, and for single use only.

    AI/ML Overview

    This submission (K033729) is for a Collagen Dental Sponge Membrane, a medical device. The provided documents are a 510(k) Summary of Safety and Effectiveness and the FDA's decision letter. These documents do not contain information about acceptance criteria or a study proving that the device meets them in the way typically expected for performance claims (e.g., sensitivity, specificity, accuracy for an AI/diagnostic device).

    Instead, this submission is for a material (Collagen Dental Sponge Membranes) and focuses on demonstrating substantial equivalence to predicate devices by assessing its safety and technical characteristics. The "acceptance criteria" here are implicitly the regulatory requirements for showing substantial equivalence.

    Here's how to interpret the available information in the context of your request:

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

    Acceptance Criteria (Implied)Reported Device Performance
    Safety: Device must pass applicable biocompatibility tests.The device passed all applicable ISO 10993-1 testing for the biological evaluation of medical devices.
    Substantial Equivalence: Device must have similar intended use, material, source, sterilization, etc., to predicate devices.Collagen Dental Sponge Membranes and its predicates have similar technological characteristics with respect to intended use, material, source, sterilization, etc.
    Absence of new safety/effectiveness questions: Device must not raise new questions of safety or effectiveness compared to predicates.Not explicitly stated as "met," but implied by the conclusion of substantial equivalence.
    Intended Use: Consistent with predicate devices.The device's indications for use: "Collagen Dental Sponge Membranes are intended for use in patients with moderate to severe periodontal disease as a resorbable material for placement in periodontal defects to aid in wound healing post periodontal surgery." This matches discussions about similar intended uses to predicates.

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

    This information is not provided in the document. For device submissions focused on substantial equivalence based on material properties and biocompatibility, human clinical "test sets" in the context of diagnostic performance are typically not required unless there are novel claims or significant differences from predicates. The "test set" here refers to the samples used for the ISO 10993-1 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 provided. The "ground truth" for biocompatibility testing (ISO 10993-1) is established by the standardized test methods themselves, which are performed by trained laboratory personnel. There is no mention of clinical experts establishing ground truth for a test set in this context.

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

    This information is not provided. Adjudication methods are typically relevant for clinical studies involving human interpretation or subjective outcomes, which are not detailed 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

    No, an MRMC comparative effectiveness study was not done. This type of study is relevant for AI-powered diagnostic devices, which this Collagen Dental Sponge Membrane is not.

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

    No, a standalone algorithm performance study was not done. This device is a bio-material, not an algorithm.

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

    For the safety evaluation, the "ground truth" was established by standardized laboratory testing protocols (ISO 10993-1) for biocompatibility. These tests assess parameters like cytotoxicity, sensitization, irritation, etc., against predefined pass/fail criteria within the standard.

    8. The sample size for the training set

    This information is not provided. "Training set" is a concept for machine learning models, which is not applicable to this device submission.

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

    This information is not applicable as there is no training set for an algorithm.

    In Summary:

    The provided documents describe a 510(k) submission for a Collagen Dental Sponge Membrane. The "study" referenced is the biocompatibility testing according to ISO 10993-1, which serves as the evidence for the device's safety. The "acceptance criteria" are the predefined pass/fail thresholds within these ISO standards. The overall goal of the submission is to demonstrate substantial equivalence to existing predicate devices, rather than to prove performance against clinical outcome metrics through a typical clinical trial with human subjects. Thus, many of the questions related to AI/diagnostic device evaluation are not applicable here.

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