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510(k) Data Aggregation

    K Number
    K170251
    Manufacturer
    Date Cleared
    2017-04-14

    (77 days)

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

    The Spineology Threshold™ Pedicular Fixation System is intended for posterior, non-cervical fixation as an adjunct to fusion in skeletally mature patients for the following indications: degenerative disc disease (defined as back pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies) spondylolisthesis; trauma (i.e., fracture or dislocation); spinal stenosis; curvatures (i.e., scoliosis, kyphosis and/or lordosis); tumor; pseudoarthrosis; and/or failed previous fusion.

    Device Description

    The Spineology Threshold Pedicular Fixation System consists of cannulated screws (titanium allov), curved and straight rods (titanium alloy), and adjustable Connector (titanium alloy), and fixed Connex Rod Connector (titanium alloy) devices to allow the surgeon to build an implant system to fit the patient's anatomical and physiological requirements. Threshold cannulated screws are available with or without a hydroxyapatite coating. The system is intended to provide immobilization and stabilization of spinal segments in skeletally mature patients as an adjunct to fusion in the treatment of acute and chronic instabilities or deformities of the thoracic, lumbar, and sacral spine. The cannulated screws can be placed in the pedicles in a variety of trajectories ranging from the standard anatomic transpedicular path projected medially toward the ventral vertebral body, to a caudocephalad path sagittally and a laterally directed path in the transverse plane.

    Spineology Connex Cross Connector devices are transversely-placed implants that are intended to connect the rod on one side of the spinal construct to the rod on the other side. These devices are manufactured from titanium alloy and are adjustable to allow the surgeon to build an implant system to fit the patient's anatomical and physiological requirements. ConneX Cross Connector devices are intended to be used with Spineology's Fortress™, Threshold V2™, and Palisade™ Pedicular Fixation Systems which are intended to provide immobilization and stabilization of spinal segments in skeletally mature patients as an adjunct to fusion in the treatment of acute and chronic instabilities or deformities of the thoracic, lumbar, and sacral spine.

    Spineology Connex Rod Connector devices are implants that are intended to connect two rods in a spinal construct. These devices are manufactured from titanium alloy and the components allow the surgeon to build an implant system to fit the patient's anatomical and physiological requirements. ConneX Rod Connector devices are intended to be used with Spineology's Fortress™, Threshold™, Threshold™ V2, and Palisade™ Pedicular Fixation Systems which are intended to provide immobilization and stabilization of spinal segments in skeletally mature patients as an adjunct to fusion in the treatment of acute and chronic instabilities or deformities of the thoracic, lumbar, and sacral spine.

    AI/ML Overview

    This document is a 510(k) premarket notification for a medical device, the Spineology Threshold™ Pedicular Fixation System. It focuses on demonstrating that new components (ConneX™ Cross Connector, ConneX™ Rod Connector, and 5.5 titanium Straight Rod devices) are substantially equivalent to previously cleared predicate devices. Therefore, the information provided primarily concerns non-clinical testing to support this substantial equivalence, rather than a clinical study evaluating the device's diagnostic performance for a specific condition.

    Based on the provided text, here's a breakdown regarding acceptance criteria, study details, and related information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state numerical "acceptance criteria" in terms of specific performance metrics (like accuracy, sensitivity, specificity) for a diagnostic device, nor does it report "device performance" in similar terms. Instead, the "acceptance criteria" are implied by the performance standards outlined in ASTM F1717, ASTM F1798, and ASTM F2193 for mechanical testing, and ANSI/AAMI ST-72:2011 for bacterial endotoxin testing. The "reported device performance" is a statement that the devices were tested in accordance with these standards.

    Acceptance Criteria (Implied Standard)Reported Device Performance (Compliance Statement)
    Mechanical performance as defined by ASTM F1717 (Static Cantilever Bending)Testing conducted in accordance with FDA Guidance: Spinal System 510(k)s (2004) and ASTM F1717-15.
    Mechanical performance as defined by ASTM F1798 (Static Compression Bending)Testing conducted in accordance with FDA Guidance: Spinal System 510(k)s (2004) and ASTM F1798.
    Mechanical performance as defined by ASTM F2193 (Flexural Grip, Dynamic Compression Bending)Testing conducted in accordance with FDA Guidance: Spinal System 510(k)s (2004) and ASTM F2193. (Specific tests mentioned: Flexural Grip, Dynamic Compression Bending).
    Bacterial endotoxin limits as defined by ANSI/AAMI ST-72:2011Bacterial endotoxin testing (BET) was conducted in accordance with ANSI/AAMI ST-72:2011.

    Note: The document states that these tests were performed and implies successful completion to demonstrate substantial equivalence, but it does not provide the raw data or specific quantitative results of these tests, which would typically be included in a full submission rather than this summary letter.

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

    • Test Set Sample Size: The document does not specify a "sample size" in terms of individual patients or cases for diagnostic accuracy. Instead, it refers to "representative worst case" devices for mechanical testing. The number of devices tested for each mechanical or bacterial endotoxin test is not disclosed.
    • Data Provenance: The data is from non-clinical (laboratory) testing, not from human subjects. Therefore, there is no country of origin or retrospective/prospective distinction for patient data.

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

    This section is not applicable as the document describes non-clinical mechanical and biological (endotoxin) testing of manufacturing components, not a clinical study requiring expert assessment for ground truth.

    4. Adjudication Method for the Test Set

    This section is not applicable as the document describes non-clinical mechanical and biological (endotoxin) testing.

    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 reported in this document. This type of study is typically conducted for diagnostic or AI-assisted devices to evaluate human performance with and without AI. This submission is for surgical implants, and the testing focuses on the mechanical and biological safety of the components.

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

    No, a standalone algorithm performance study was not reported. This device is not an algorithm or AI system, but rather physical implant components.

    7. The Type of Ground Truth Used

    For the mechanical testing, the "ground truth" (or reference standard) is the published performance specifications and methodologies within the cited ASTM standards. For bacterial endotoxin testing, the ground truth is the validated limits and methodologies within ANSI/AAMI ST-72:2011.

    8. The Sample Size for the Training Set

    This section is not applicable. This document describes the clearance of physical medical device components (implants), not an AI/ML algorithm that would have a training set.

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

    This section is not applicable as there is no training set for an AI/ML algorithm.

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