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510(k) Data Aggregation

    K Number
    K120074
    Date Cleared
    2012-03-14

    (64 days)

    Product Code
    Regulation Number
    888.3070
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Foundation Spinal System is intended for thoracolumbar (T4-L4) anterolateral screw fixation and posterior, non-cervical (T1-S1) pedicle and non-pedicle fixation to provide immobilization and stabilization in skeletally mature patients as an adjunct to fusion for the treatment of the following acute and chronic instabilities or deformities: degenerative disc disease (DDD, defined as back pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies), spondylolisthesis, fracture, dislocation, spinal stenosis, scoliosis, kyphosis, lordosis, spinal tumor, pseudarthrosis and failed previous fusion.

    Device Description

    The Foundation Spinal System consists of rods, hooks, staple plates, monoaxial and multiaxial screws with set screws and crosslinks with fastening set screws. Rods are available either straight or pre-contoured in a variety of lengths. Hooks and staple plates are offered in a variety of sizes. Solid and cannulated screws are available in standard and reduction versions in a variety of diameter-length combinations to accommodate differing patient anatomy.

    AI/ML Overview

    The provided text describes the "Foundation Spinal System," a spinal fixation system, and its FDA 510(k) summary. For devices seeking 510(k) clearance, the primary acceptance criterion is substantial equivalence to a predicate device, rather than explicit performance metrics against predefined thresholds. The "study" that proves this acceptance is a comparison of technological characteristics and mechanical performance testing.

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

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

    Acceptance Criteria (for 510(k) – Substantial Equivalence)Reported Device Performance (Foundation Spinal System)
    Same intended use as predicate devicesIntended Use: Thoracolumbar (T4-L4) anterolateral screw fixation and posterior, non-cervical (T1-S1) pedicle and non-pedicle fixation to provide immobilization and stabilization in skeletally mature patients as an adjunct to fusion for treatment of degenerative disc disease, spondylolisthesis, fracture, dislocation, spinal stenosis, scoliosis, kyphosis, lordosis, spinal tumor, pseudarthrosis and failed previous fusion. This is reported as "the same intended use (as described above)" as the predicate devices.
    Same technological characteristics as predicate devicesTechnological Characteristics: Basic design (rod-based fixation system having monoaxial and multiaxial screws and various hook and staple plate sizes), material (titanium alloy), sizes (rod and screw sizes encompassed by those offered by predicate systems). Reported as "the same technological characteristics as the predicates."
    Performance as good as or better than predicate devices (mechanical testing)Performance Data: Static compression bending and torsion, and dynamic compression bending of the worst-case Foundation construct was performed to ASTM F1717. The mechanical test results demonstrated that the Foundation Spinal System performs as well as or better than the predicate devices.
    Does not raise new questions of safety and effectivenessBased on the above, the conclusion states, "and so does not raise new questions of safety and effectiveness."

    2. Sample size used for the test set and the data provenance
    The document describes mechanical testing of device constructs, not a clinical study with patients. Therefore, the concept of a "patient sample size" or "data provenance" (country of origin, retrospective/prospective) in the traditional clinical sense does not apply here. The "test set" would refer to the number of device constructs tested. The specific number of constructs tested for static and dynamic compression bending and torsion is not specified in the provided text.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
    This question is not applicable. "Ground truth" established by experts typically pertains to clinical diagnostic devices where expert interpretation is compared to an algorithm's output. For a spinal fixation system undergoing mechanical testing, the "truth" is determined by established engineering standards (ASTM F1717) and physical measurements of strength and durability.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
    This question is not applicable. Adjudication methods like 2+1 or 3+1 are used in clinical studies when multiple readers interpret data to establish a consensus "ground truth." For mechanical tests, the results are quantitative and objective, based on physical measurements against engineering standards.

    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 question is not applicable. An MRMC study is relevant for diagnostic imaging devices involving human readers and AI assistance. This document describes a spinal implant, which does not involve human readers or AI in its primary performance assessment for 510(k) clearance.

    6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done
    This question is not applicable. The device is a physical spinal implant, not an algorithm.

    7. The type of ground truth used (expert concensus, pathology, outcomes data, etc)
    For the mechanical performance data, the "ground truth" is based on established engineering standards (ASTM F1717) and the measured physical properties of the tested constructs. The comparison is made against the performance of predicate devices as determined by similar mechanical testing.

    8. The sample size for the training set
    This question is not applicable as this is not an AI/machine learning device.

    9. How the ground truth for the training set was established
    This question is not applicable as this is not an AI/machine learning device.

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