Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K110911
    Manufacturer
    Date Cleared
    2011-04-28

    (28 days)

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

    K033413, K051676, K063607, K073467, K081672

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

    The Renaissance System is indicated for precise positioning of surgical instruments or implants during general spinal surgery. It may be used in either open or percutaneous procedures.

    Renaissance 3D imaging capabilities provide a processing and conversion of 2D fluoroscopic projections from standard C-Arms into volumetric 3D image. It is intended to be used whenever the clinician and/or patient benefits from generated 3D imaging of high contrast objects.

    Device Description

    The Renaissance system is a device modification of the TenZing system (K102130). which is comprised of the original SpineAssist System and the C-InSight System.

    The SpineAssist application enables the surgeon to precisely position surgical instruments or implants during general spinal surgery. This is achieved through preoperation planning and virtual placement of the surgical instrument or implant (e.g., a screw) based on the patients' CT data. During the surgical procedure the pre-planned instrument or implant positions are located and projected on Fluoroscopy images relative to the SpineAssist device position while the SpineAssist arm is then guided to the actual position. The SpineAssist is described in previously cleared 510(k) submissions K033413, K051676, K063607 and K073467.

    The C-InSight application is a software based product, which converts a sequence of two-dimensional fluoroscopy images into a 3D volumetric image, intraoperatively. The C-InSight computer is connected to a traditional C-Arm in the operating room and grabs all images from the C-Arm. Using a tracking algorithm, the C-InSight software is able to convert a continuous scan around the region of interest into a 3D image, intra-operatively. The C-InSight is described in the previously cleared 510(k) submission K081672.

    The TenZing System cleared in 510(k) submission K102130 is a workstation which contains both the C-InSight and SpineAssist components in one workstation. This allows the physician to perform SpineAssist procedures and C-InSight procedures as independent applications, but using the same workstation console. Furthermore, the TenZing System allows the surgeon to perform SpineAssist procedures and obtain an intra-overative 3D verification image using the C-InSight application. Thus, the surgeon can obtain real time feedback regarding instrument and/or implant positioning.

    The modified system is called the Renaissance System. The device modifications include a newly designed workstation (hardware change), a slightly modified SpineAssist Guiding Device (with colored LED lights), and modified software with improved GUI for the original TenZing software (software change) and the ability to perform CT-Fluoroscopy registration using the fluoroscopy images obtained from the C-InSight application (i.e., CT to C-InSight registration).

    AI/ML Overview

    The provided text describes the Renaissance System, a robotic surgical guidance system for spinal surgery. Here's a breakdown of the acceptance criteria and study information:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria / Performance MetricReported Device Performance
    Software validation (in accordance with FDA Guidance)Passed: "Software validation testing in accordance with the FDA Guidance for the Premarket Submissions for Software Contained in Medical Devices (January 11, 2002)." (Implicitly, the device met the requirements of this guidance.)
    CT to C-InSight Registration AccuracyNot explicitly stated as an "acceptance criterion" with a specific threshold in the provided text. However, it was a "Performance Test" that the device presumably passed for clearance: "CT to C-InSight Registration Accuracy Testing." (The document implies this test was successfully completed, but specific accuracy metrics are not included in this summary.)
    Electrical and Mechanical Safety (IEC 60601-1)Passed: "IEC 60601-1 Electrical and Mechanical Safety Testing." (Implicitly, the device met the requirements of this standard.)
    Electromagnetic Compatibility (IEC 60601-1-2)Passed: "IEC 60601-1-2 Electromagnetic Compatibility Testing." (Implicitly, the device met the requirements of this standard.)
    Substantial Equivalence to Predicate Device (TenZing System K102130)Achieved: "The technological characteristics, e.g., overall design, materials, mechanism of action, mode of operation, performance characteristics, etc., and the intended use of the Renaissance device are substantially equivalent to the predicate device cited above." (This is the overarching "acceptance" for 510(k) clearance, implying that all performance criteria are consistent with or improved over the predicate.) The FDA confirmed substantial equivalence in the clearance letter.

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

    The provided text mentions "Performance Testing" but does not specify the sample size for the CT to C-InSight Registration Accuracy Testing. It also does not mention the data provenance (e.g., country of origin, retrospective or prospective) for any of the performance tests.

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

    The document does not provide information regarding the number of experts, their qualifications, or their role in establishing ground truth for any of the performance tests. The focus is on technical compliance and equivalence.

    4. Adjudication Method for the Test Set

    The document does not specify an adjudication method for the test set.

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

    No. The document does not mention a multi-reader multi-case (MRMC) comparative effectiveness study, nor does it discuss the effect size of human readers with or without AI assistance. The testing described is primarily focused on the device's technical specifications and safety rather than its impact on human performance.

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

    The performance testing listed ("Software validation testing," "CT to C-InSight Registration Accuracy Testing," "IEC 60601-1 Electrical and Mechanical Safety Testing," and "IEC 60601-1-2 Electromagnetic Compatibility Testing") primarily describes standalone algorithm and system performance in a technical context. The "CT to C-InSight Registration Accuracy Testing" would specifically assess the algorithm's ability to accurately register CT and C-InSight data without direct human intervention impacting the registration process itself.

    7. The Type of Ground Truth Used

    For the "CT to C-InSight Registration Accuracy Testing," the type of ground truth is implicit. Typically, such accuracy testing would involve:

    • Phantom studies: Using a known physical phantom with measurable fiducials where the "true" positions are precisely known.
    • Reference standard imaging: Using a gold-standard imaging modality (e.g., a highly accurate CT scan) as the 'true' representation against which the system's registration of fluoroscopic images to CT is compared.
      The document does not explicitly state whether expert consensus, pathology, or outcomes data were used as ground truth for any of the tests reported here.

    8. The Sample Size for the Training Set

    The document does not provide any information about a training set or its sample size. The focus is on verification and validation of the modified device rather than the development of a new AI model with training data.

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

    Since no information on a training set is provided, there is no information on how its ground truth was established. This device submission is for a modification of an existing system (TenZing) and primarily focuses on technical and safety testing of the modifications, not the development of a new AI algorithm requiring a specific training dataset and ground truth establishment methodology.

    Ask a Question

    Ask a specific question about this device

    Page 1 of 1