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510(k) Data Aggregation

    K Number
    K161303
    Date Cleared
    2017-01-26

    (261 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The dynaMXTM Compression Plate is indicated for fixation of small fragments, osteolomics, atthrodeses, replantations, and reconstructions of small bones and small fragments.

    Device Description

    The dynaMX™ Compression Plate provides a means of fixation for small bones and small fragments. The dynaMÄ™ Compression Plate is made of biocompatible Nitinol. The bridge of the implant is designed to exhibit superelastic properties at room temperature.

    AI/ML Overview

    I apologize, but the provided text is a 510(k) summary for a medical device (dynaMX™ Compression Plate) and primarily focuses on establishing substantial equivalence to predicate devices through laboratory bench testing.

    Therefore, the input document does not contain any information regarding clinical studies, acceptance criteria related to clinical performance, or the involvement of human readers or experts for ground truth establishment.

    The document describes bench tests conducted to verify suitability and substantial equivalence, such as:

    • Elastic Static Bending Testing
    • Bending Fatigue Testing
    • Cyclic Potentiodynamic Polarization Corrosion Testing
    • Galvanic Corrosion Testing
    • Compressive Force Performance
    • Transformation Temperature Determination
    • Package Seal Strength Verification

    It also mentions testing for locking screws, including:

    • Insertion and Removal Torque
    • Torsional Strength
    • Pullout Strength

    Without information about clinical performance acceptance criteria and studies linked to human or algorithm performance, and ground truth establishment, I cannot fulfill your request for the specific details you've asked for.

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    K Number
    K153129
    Date Cleared
    2016-01-28

    (90 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The dynaMXTM Tabbed Staple is indicated for:

    · Fracture and osteotomy fixation and joint arthrodesis of the hand and foot and,

    · Fixation of proximal tibial metaphysis osteotomy.

    Device Description

    The dynaMX™ Tabbed Staple provides a means of bone fixation in the management of fractures and reconstructive surgery.

    • The dynaMÄ™ Tabbed Staples are made of biocompatible Nitinol. The legs of the . staple are designed to exhibit superelastic properties at room temperature.
    AI/ML Overview

    The provided text is a 510(k) Summary for the dynaMX™ Tabbed Staple, a medical device for bone fixation. It does NOT describe an AI/ML powered device, nor does it contain information about clinical studies with human readers or AI performance metrics.

    Therefore, I cannot provide the requested information regarding acceptance criteria, device performance, sample sizes, expert qualifications, adjudication methods, MRMC studies, standalone performance, or ground truth for an AI device.

    The document focuses on the substantial equivalence of the dynaMX™ Tabbed Staple to predicate devices based on bench testing (laboratory studies), not AI model performance.

    Here's a breakdown of the relevant information that IS present, to clarify why your specific questions cannot be answered from this text:

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

    • Acceptance Criteria (Implied): The document states that "A series of laboratory studies (bench tests) have been conducted to verify the suitability of the dynaMX™ Tabbed Staple for its intended use, establish Substantial Equivalence with the predicate devices and confirm reproducibility of the packaging." The implied acceptance criteria are that the device performs comparably to the predicate devices in these bench tests.
    • Reported Device Performance: The document lists the types of tests performed:
      • Elastic Static Bending Testing
      • Bending Fatigue Testing
      • Staple Pull-Out Force
      • Corrosion Testing
      • Package Seal Strength Verification
      • Transformation Temperature Determination
      • However, it does not provide the numerical results or specific acceptance thresholds for these tests. It only states that these studies were conducted to support substantial equivalence.

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

    • No information on sample size or data provenance is provided as these were bench tests, not clinical studies in humans.

    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):

    • Not applicable. This was a bench test involving physical device properties, not clinical assessment requiring expert interpretation to establish ground truth.

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

    • Not applicable. This was a bench test, not a clinical trial requiring adjudication of clinical findings.

    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, and no AI component is described. This device is a physical bone fixation staple.

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

    • Not applicable. This is a physical device, not an algorithm.

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

    • Not applicable. The "ground truth" for a physical device in bench testing is typically the actual physical properties measured against engineering specifications or predicate device performance.

    8. The sample size for the training set:

    • Not applicable. This device does not use a training set as it is not an AI/ML model.

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

    • Not applicable. This device does not use a training set.
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    K Number
    K143622
    Date Cleared
    2015-06-17

    (177 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The dynaMX™ Compression Staple is indicated for:
    Fracture and osteotomy fixation and joint arthrodesis of the hand and foot and,
    Fixation of proximal tibial metaphysis osteotomy

    Device Description

    The dynaMX Compression Staple provides a means of bone fixation in the management of fractures and reconstructive surgery.
    The dynaMX Compression Staples are made of biocompatible Nitinol. The legs of the staple are designed to exhibit superelastic properties at room temperature.
    Staples with a bridge length of 11mm and longer are designed with a bridge that can be bent to contour to the bone surface.

    AI/ML Overview

    This document is a 510(k) Premarket Notification from MX Orthopedics, Corp. for their dynaMX™ Compression Staple. It declares substantial equivalence to predicate devices and describes the device, its indications for use, and the studies conducted to support its safety and effectiveness.

    Here's a breakdown of the requested information based on the provided text:

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

    The document does not explicitly present a table of acceptance criteria with corresponding performance results. Instead, it lists the types of laboratory studies conducted to "verify the suitability...establish Substantial Equivalence...and confirm reproducibility." The implication is that the device met the internal acceptance criteria for each of these tests to demonstrate substantial equivalence.

    Acceptance Criteria (Implied)Reported Device Performance
    Elastic Static Bending (Suitability for intended use)Conducted
    Bending Fatigue (Suitability for intended use)Conducted
    Staple Pull-Out Force (Suitability for intended use)Conducted
    Corrosion (Biocompatibility and Durability)Conducted
    Package Seal Strength (Reproducibility & Shelf-life)Conducted
    Biocompatibility (Material safety)Well-established for Nitinol (referenced publication appended)
    Shelf-life / StabilityProtocol appended

    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 mentions "A series of laboratory studies (bench tests)" but does not specify the sample size for any of these tests. It also does not provide information on the data provenance in terms of country of origin or whether the studies were retrospective or prospective. These are bench tests, so they would not typically involve human data.

    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 section is not applicable as the studies conducted were "laboratory studies (bench tests)" on the device itself, not studies involving human interpretation or clinical ground truth.

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

    This section is not applicable as the studies were bench tests and did not involve human adjudication for establishing ground truth.

    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

    There is no mention of an MRMC comparative effectiveness study involving human readers or AI in the provided document. The current submission is for a medical device (compression staple), not an AI diagnostic tool.

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

    This section is not applicable as the submission is for a physical medical device, not an algorithm or AI.

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

    For the bench tests, the "ground truth" would be the engineering specifications and performance targets defined for each test (e.g., a specific pull-out force, a bending fatigue limit). These are inherent properties measured directly from the device. There is no mention of expert consensus, pathology, or outcomes data being used as ground truth for these specific tests.

    8. The sample size for the training set

    This section is not applicable. There is no mention of a "training set" as this submission is for a physical medical device and does not involve machine learning or AI.

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

    This section is not applicable for the same reasons as #8.

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