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510(k) Data Aggregation

    K Number
    K172175
    Manufacturer
    Date Cleared
    2017-08-16

    (28 days)

    Product Code
    Regulation Number
    888.3070
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    CapSure**®** PS System

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

    The CapSure® PS System is a non-cervical spinal fixation system intended for posterior pedicle screw fixation (T1-S2/ilium) in skeletally mature patients. The CapSure® PS System is indicated for degenerative spondylolisthesis with objective evidence of neurologic impairment, fracture, dislocation, scoliosis, spinal tumor, and failed previous fusion (pseudoarthrosis).

    The CapSure® PS System is also indicated for pedicle screw fixation in skeletally mature patients with severe spondylolisthesis (Grades 3 and 4) at the L5-S1 vertebral joint, having fusions with autogenous bone graft, with the device fixed or attached to the lumbar and sacral spine (levels of pedicle screw fixation are L3-S2/ilium), and for whom the device is intended to be removed after solid fusion is attained.

    Device Description

    The CapSure® PS System consists of a selection of non-sterile, single-use, titanium alloy screw and connector components and titanium alloy and cobaltchrome rod components that are assembled to create a rigid spinal construct. The components of the CapSure® PS System are attached to the non-cervical spine of skeletally mature patients to stabilize the spine during fusion of vertebral bodies and are intended to be removed after spinal fusion is achieved.

    AI/ML Overview

    This 510(k) premarket notification describes a medical device, the CapSure® PS System, which is a spinal fixation system. The document concerns the addition of new components (4.75 mm diameter cobalt-chrome straight rods and dual-diameter titanium rods) to a previously cleared system.

    Therefore, the study described is a performance test to demonstrate that these new components do not degrade the overall device performance and are substantially equivalent to the predicate device. This is not a study involving human or image data with AI systems.

    Based on the provided information, I can answer the relevant questions about the device's performance testing:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Standard)Reported Device Performance
    In accordance with ASTM F1717"The results of this testing show that the modified implants do not represent a new worst case for the system and are therefore substantially equivalent to the predicate device."

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

    • Sample Size: The document does not specify the exact number of samples tested but refers to "worst-case samples of the modified implants."
    • Data Provenance: Not applicable as this is a physical device performance test rather than a data-driven study. The testing was performed by Spine Wave, Inc.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:
    Not applicable. The ground truth (device performance and safety) for this type of mechanical testing is established by adherence to a recognized international standard (ASTM F1717) and engineering analysis, not by expert consensus on clinical data.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:
    Not applicable. Adjudication methods are typically associated with human decision-making or image interpretation, not physical device testing.

    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 is a mechanical device performance study, not a study evaluating human reader performance with or without AI assistance.

    6. If a standalone (i.e. algorithm only, without human-in-the-loop performance) was done:
    Not applicable. This is a mechanical device performance study, not an algorithm performance study.

    7. The type of ground truth used:
    The ground truth used is conformance to the ASTM F1717 standard for dynamic axial compression bend testing and the determination that the modified implants "do not represent a new worst-case for the system."

    8. The sample size for the training set:
    Not applicable. There is no training set mentioned or implied as this is a physical device performance test, not a machine learning model.

    9. How the ground truth for the training set was established:
    Not applicable. There is no training set.

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