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510(k) Data Aggregation

    K Number
    K092531
    Manufacturer
    Date Cleared
    2010-02-04

    (170 days)

    Product Code
    Regulation Number
    888.3060
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    SPINE360 ANTERIOR CERVICAL PLATE SYSTEM

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

    The Spine 360 Anterior Cervical Plate System is intended for anterior screw fixation to the cervical spine (C2-C7) as an adjunct to fusion in the treatment of the following indications:

    • Degenerative disc disease [DDD] defined as neck pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies
    • . Spondylolisthesis
    • Spinal Stenosis .
    • Tumors .
    • . Trauma (i.e. fracture)
    Device Description

    The Spine 360 anterior cervical plates are provided preassembled and are offered with fixed angle bone screws. The system consists of four (4) primary components: 1) anterior plate, 2) self-tapping fixed angle bone screws, 3) locking shield screws and 4) locking shield.

    AI/ML Overview

    The provided text describes a medical device, the Spine 360 Anterior Cervical Plate System, and its substantial equivalence to a predicate device. It explicitly states that "Mechanical test results demonstrate that the Spine 360 ACP System is substantially equivalent to the predicate device." However, the document does not contain the specific "acceptance criteria" (e.g., specific thresholds for mechanical properties like pull-out strength, fatigue life, etc.) or detailed results of a study that would demonstrate meeting those criteria. It only makes a general statement about substantial equivalence based on mechanical test data.

    Therefore, many of the requested details about acceptance criteria, specific performance metrics, sample sizes for testing, ground truth establishment, or clinical study designs (MRMC, standalone algorithm performance) cannot be extracted from this document.

    Here's what can be inferred and what cannot:

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

    Acceptance CriteriaReported Device Performance
    Not explicitly stated in terms of specific numerical thresholds (e.g., minimum tensile strength, fatigue cycles, etc.). Implied acceptance criteria are that the device's mechanical performance should be equal to or better than the predicate device."Mechanical test results demonstrate that the Spine 360 ACP System is substantially equivalent to the predicate device." (No specific numerical performance metrics are provided in this document.)

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

    • Sample Size: Not specified in the provided document. The "mechanical test data" typically refers to in-vitro biomechanical testing of the device itself, not necessarily patient data.
    • Data Provenance: Not applicable in the context of clinical data. This refers to laboratory-based mechanical testing.

    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 as the study described is a mechanical test for substantial equivalence, not a clinical study requiring expert diagnosis or ground truth establishment based on patient cases.

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

    • Not applicable as this was a mechanical test, not a clinical study involving human readers or interpretation of results that would require adjudication.

    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. This was a mechanical test comparing a new device to a predicate device for substantial equivalence, not an MRMC study or a study involving AI assistance.

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

    • No. This device is a physical medical implant, not an algorithm or AI system.

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

    • For mechanical testing, the "ground truth" would be the established engineering standards and physical properties of the predicate device. The performance of the Spine 360 device was compared against these.

    8. The sample size for the training set

    • Not applicable. This is a mechanical device, not an AI or machine learning algorithm requiring a training set.

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

    • Not applicable.
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