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510(k) Data Aggregation

    K Number
    K220024
    Manufacturer
    Date Cleared
    2022-07-06

    (182 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ChoiceSpine Navigation System

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

    The ChoiceSpine Navigation reusable instruments are intended to be used during preparation and placement of ChoiceSpine system implants during spinal surgery to assist the surgeon in precisely locating anatomical structures in either open or minimally invasive procedures. The ChoiceSpine Navigation reusable instruments are specifically designed for use with the Medtronic StealthStation S7 (V2.1.0) and S8 (V1.2.0) systems, which are indicated for any medical condition in which the use of stereotactic surgery may be appropriate and where reference to a rigid anatomical structure, such as a skull, a long bone, or vertebra, can be identified relative to a CT or MR based model, fluoroscopy images, or digitized landmarks for the anatomy.

    Device Description

    The ChoiceSpine Navigation instruments are non-sterile, reusable instruments designed to function with the Medtronic® StealthStation® System. Refer to the appropriate navigation system Instructions for Use and/or Surgical Technique Guide for details regarding navigation system use. The ChoiceSpine Navigation instruments are for use with any ChoiceSpine systems equipped with the appropriate and necessary features and geometry. These features and geometry have been tested for compatibility with the Medtronic® StealthStation®.

    AI/ML Overview

    The provided text is a 510(k) summary for the ChoiceSpine Navigation System. It describes the device, its intended use, and substantial equivalence to predicate devices, supported by performance testing.

    Here's the breakdown of the acceptance criteria and study information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria are implied by the performance testing described. The study aimed to demonstrate substantial equivalence to the predicate devices. The key performance characteristic assessed was "dimensional analysis and positional accuracy" per ASTM F2554.

    Acceptance Criteria (Implied)Reported Device Performance
    Dimensional Analysis (compatible with Medtronic StealthStation)Validated in side-by-side testing of the Medtronic® StealthStation® system and predicate device.
    Positional Accuracy (per ASTM F2554)Validated in side-by-side testing of the Medtronic® StealthStation® system and predicate device.
    Substantial Equivalence to Predicate"The test results demonstrate that the ChoiceSpine Navigation system performance is substantially equivalent to the predicate."

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

    The document does not explicitly state a numerical sample size for the test set. It mentions "side-by-side testing," which implies that the ChoiceSpine Navigation instruments were tested alongside the Medtronic® StealthStation® system and a predicate device.

    • Sample Size: Not explicitly stated as a number of unique cases. It refers to testing of the "ChoiceSpine Navigation system" itself against the predicate system. This suggests a physical testing setup rather than a dataset of patient cases.
    • Data Provenance: Not specified in terms of country of origin. The study appears to be a laboratory-based performance validation of the instrument's compatibility and accuracy, rather than a clinical study with patient data. It is a "performance data" section, not a "clinical data" section. The document states it was a "side-by-side testing" with a "predicate device".
    • Retrospective/Prospective: Not applicable, as it's a device performance validation, not a clinical data study.

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

    The document does not mention the use of human experts to establish ground truth for the test set. The ground truth for this type of device (surgical navigation instruments) is typically established through engineering measurements and comparisons to known standards or predicate device performance, not through expert interpretation of clinical data.

    4. Adjudication Method for the Test Set

    Not applicable. The study appears to be an engineering performance validation, not one requiring adjudication of clinical interpretations.

    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 done. The study described is a technical performance validation of a medical device's accuracy and compatibility, not a study assessing the impact of AI assistance on human reader performance.

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

    This question is not directly applicable in the context of this device. The "ChoiceSpine Navigation System" is a set of instruments designed to work with an existing navigation system (Medtronic StealthStation). It is not an AI algorithm in the traditional sense that would operate "standalone" to produce an interpretation or diagnosis. Its performance is intrinsically linked to its use with the Medtronic system. The performance data focuses on the accuracy and compatibility of the instruments when integrated with the navigation system.

    7. The Type of Ground Truth Used

    The ground truth used appears to be engineering measurements and direct comparison to a predicate device's performance, specifically for dimensional analysis and positional accuracy as defined by ASTM F2554. This is a technical validation against established engineering standards and existing device performance, not clinical outcomes, pathology, or expert consensus on a clinical condition.

    8. The Sample Size for the Training Set

    Not applicable. This device is a set of physical surgical instruments, not an AI/ML algorithm that requires a training set of data.

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

    Not applicable, as there is no training set for this type of device.

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    K Number
    K203561
    Manufacturer
    Date Cleared
    2021-01-04

    (28 days)

    Product Code
    Regulation Number
    882.4560
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    ChoiceSpine Navigation System

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

    The ChoiceSpine Navigation reusable instruments are intended to be used during preparation and placement of ChoiceSpine Lancer", Thunderbolt", and Blackbird™ system during spinal surgeon in precisely locating anatomical structures in either open or minimally invasive procedures. The ChoiceSpine Navigation reusable instruments are specifically designed for use with the Medtronic Stealth Station System (V2.1.0), which is indicated for any medical condition in which the use of stereotactic surgery may be appropriate, and where reference to a rigid anatomical structure, such as a skull, along bone, or vertebra, can be identified relative to a CT or MR based model, fluoroscopy images, or digitized landmarks for the anatomy.

    Device Description

    The ChoiceSpine Navigation instruments are non-sterile, reusable instruments designed to function with the Medtronic® StealthStation® System and SureTrak® II System. Refer to the appropriate navigation system Instructions for Use and/or Surgical Technique Guide for details regarding navigation system use. The ChoiceSpine Navigation instruments are for use with ChoiceSpine screw systems, specifically, Lancer™, Thunderbolt™, and Blackbird™ Spinal Systems.

    AI/ML Overview

    The provided text is a 510(k) Summary for the ChoiceSpine Navigation System. It describes the device, its intended use, and argues for substantial equivalence to a predicate device. However, it explicitly states that no new testing was performed for this specific submission to add Blackbird instruments. Instead, it relies on the previous testing of the predicate device.

    Therefore, the following information cannot be fully extracted based on the provided text for the current submission:

    • A table of acceptance criteria and reported device performance (for the current submission).
    • Sample size used for the current test set.
    • Data provenance for the current test set.
    • Number of experts used to establish ground truth for the current test set and their qualifications.
    • Adjudication method for the current test set.
    • Whether a multi-reader, multi-case (MRMC) comparative effectiveness study was done for the current submission.
    • Whether a standalone performance study was done for the current submission.
    • The type of ground truth used for the current test.
    • Sample size for the current training set.
    • How ground truth for the current training set was established.

    Based on the provided text, here is what can be inferred about the original testing that established "substantial equivalence" for the predicate device, which this submission leverages:

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

    The text does not explicitly state acceptance criteria in a table format. It only mentions that the "Navigation System has been tested per ASTM F2554-10, 'Standard Practice for Measurement of Positional Accuracy of Computer Assisted Surgical Systems'." It concludes that "The results of this non-clinical testing show that performance of the Navigation System is sufficient for its intended use and is substantially equivalent to legally marketed predicate devices." Without the actual report of the ASTM F2554-10 testing, specific numerical acceptance criteria and reported performance values cannot be provided here.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    This information is not provided in the text for either the predicate device's testing or the current submission.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    This information is not provided in the text. The testing mentioned (ASTM F2554-10) is a standard for positional accuracy of computer-assisted surgical systems, which is typically an engineering performance test and may not involve expert review in the same way clinical studies do.

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

    This information is not provided in the text.

    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

    An MRMC study was not performed for this submission, as no new testing was conducted. The text describes an engineering performance test (ASTM F2554-10) for positional accuracy, not a comparative effectiveness study with human readers.

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

    The submission states that the "ChoiceSpine Navigation System" was tested per ASTM F2554-10. This is a standard for evaluating the accuracy of computer-assisted surgical systems. This would be considered a standalone performance test of the device's accuracy, as it measures the system's ability to precisely locate anatomical structures. However, it's not an "algorithm only" test in the sense of an AI/ML algorithm being evaluated in isolation, but rather the integrated navigation system's performance.

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

    The ground truth for the ASTM F2554-10 test would likely be based on physical measurements and precise anatomical models used to assess the positional accuracy of the surgical system. It would not typically involve expert consensus, pathology, or outcomes data in the traditional sense of clinical ground truth.

    8. The sample size for the training set

    This information is not provided as the submission refers to an engineering performance test, not a machine learning model that would require a training set.

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

    This information is not provided as no machine learning training set is relevant to the described testing.

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