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510(k) Data Aggregation

    K Number
    K090799
    Manufacturer
    Date Cleared
    2009-04-22

    (29 days)

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

    K073126, K082195, K041119, K062174, K955348, K062196

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

    The EXPEDIUM Spine 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 EXPEDIUM Spine System is intended for noncervical pedicle fixation and nonpedicle fixation 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 failed previous fusion in skeletally mature patients.

    Device Description

    The subject EXPEDIUM Spine System components consist of designs that interface to 5.5mm and 6.35mm rods and are available in various geometries and sizes.

    AI/ML Overview

    This document describes a 510(k) premarket notification for the EXPEDIUM Spine System, a medical device for spinal fixation. It is not a traditional AI/ML device approval, therefore much of the requested information about AI model performance, training sets, and ground truth establishment is not applicable.

    Here's the relevant information based on the provided text:

    1. Acceptance Criteria and Reported Device Performance

    The document states that "Performance data per ASTM F 1798 were submitted to characterize the subject EXPEDIUM Spine System components addressed in this notification." This implies that the acceptance criteria are tied to the standards outlined in ASTM F 1798. However, the specific quantitative acceptance criteria (e.g., maximum deflection, fatigue life, strength) and the reported performance values are not provided in the summary. The document only confirms that data was submitted, not the results themselves.

    Acceptance Criteria (Based on ASTM F 1798)Reported Device Performance
    Specific details not provided in summarySpecific details not provided in summary
    Adherence to mechanical and material standards for spinal implant assembliesData submitted to characterize components (per ASTM F 1798)

    Note: For medical devices like spinal fixation systems, acceptance criteria typically involve detailed mechanical testing (e.g., static and dynamic compression, bending, torsion), biocompatibility, and material characterization to ensure safety and effectiveness. The ASTM F 1798 standard specifically deals with the fatigue testing of intervertebral body fusion devices.

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

    The document describes mechanical performance testing, not data analysis or human subject testing in the traditional sense of a "test set" for an AI model. Therefore, the concept of sample size for a "test set" and "data provenance" (country of origin, retrospective/prospective) as it applies to an AI/ML device is not applicable here. The "test set" for this device would refer to the physical components subjected to mechanical tests. The specific number of components tested is not provided in the summary.

    3. Number of Experts Used to Establish Ground Truth and Qualifications

    This information is not applicable as this is a physical medical device (spinal fixation system) and not an AI/ML product. The "ground truth" for such a device is established through adherence to engineering specifications, material science principles, and mechanical testing standards (like ASTM F 1798). Experts involved would be engineers, material scientists, and potentially surgeons for clinical relevance, but their role is not in establishing a data "ground truth" as it would be for an AI model.

    4. Adjudication Method for the Test Set

    This concept is also not applicable as this is a physical medical device. Adjudication methods (like 2+1, 3+1) are used for resolving discrepancies in expert labeling or diagnoses for AI/ML training or evaluation datasets.

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

    No, an MRMC comparative effectiveness study was not done. This type of study is relevant for diagnostic or image-analysis AI/ML systems where human readers interpret cases with and without AI assistance to measure improved performance. This device is a physical implant.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study Was Done

    This question is not applicable as the device is a physical spinal implant, not an algorithm.

    7. The Type of Ground Truth Used

    The "ground truth" for this device's performance is based on engineering standards and mechanical test results. Specifically, the summary states "Performance data per ASTM F 1798 were submitted." ASTM F 1798 is a standard specification for fatigue test performance of spinal artificial disc prostheses and components. Therefore, the ground truth is derived from objective mechanical testing outcomes compared against established engineering standards.

    8. The Sample Size for the Training Set

    This information is not applicable as this is a physical medical device, not an AI/ML product. There is no "training set" in the context of machine learning. The design and manufacturing process would involve iterative engineering and testing, but not in the sense of an AI training set.

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

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

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    K Number
    K081898
    Manufacturer
    Date Cleared
    2008-09-10

    (69 days)

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

    K033901, K063156, K073126, K073364

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

    The EXPEDIUM Spine 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 EXPEDIUM Spine System is intended for noncervical pedicle fixation and nonpedicle fixation 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 failed previous fusion in skeletally mature patients.

    Device Description

    The subject EXPEDIUM™ Spine System components are designed to accept a 5.5mm rod and are available in various geometries and sizes. The EXPEDIUM™ Spine System also contains Class I manual surgical instruments, trays and cases and are exempt from premarket notification. Manufactured from ASTM F 136 implant grade titanium alloy.

    AI/ML Overview

    This is a 510(k) premarket notification for the EXPEDIUM™ Spine System, a medical device. The provided text is a summary of the application and the FDA's response, not a study report for an AI device. Therefore, I cannot extract the requested information concerning acceptance criteria and a study proving a device meets those criteria, especially details related to AI, ground truth, expert opinions, or sample sizes for testing and training sets.

    The document describes a mechanical spine system and references characterization data per ASTM F 1798, which is a standard for fatigue testing of spinal implants. It does not involve AI or any form of image analysis.

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