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510(k) Data Aggregation

    K Number
    K233425
    Date Cleared
    2024-01-25

    (106 days)

    Product Code
    Regulation Number
    878.4400
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The RF instruments are used for tissue and vessel coagulation (hemostasis) by means of radiofrequency current.
    The products are intended for use in endoscopically performed or supported surgeries.
    The types of surgery intended are:

    • Endoscopic procedures
    • Orthopedic procedures
    • Neurosurgical coagulation
    Device Description

    FlexTip Bipolar electrodes single-use consist of a handpiece with electrode front part, cable and plug. The Bipolar electrodes are available in two different working lengths. The FlexTip electrodes are encoded for RF generators Arthrex Inc. (AR-S9800 Synergy) and Sutter Medizintechnik GmbH (K171869 CURIS® RF Generator). The electrodes are provided sterile and are single-use instruments. Electrode shaft and tips are made of stainless steel and are insulated with PEBAX tubing.

    AI/ML Overview

    The provided text describes the 510(k) premarket notification for the "FlexTip Bipolar electrodes single-use" device. This document focuses on demonstrating substantial equivalence to a predicate device through non-clinical performance data, rather than detailing clinical studies with specific acceptance criteria in the context of AI/ML device performance.

    Therefore, many of the requested details about acceptance criteria, sample sizes for test sets, expert ground truth establishment, MRMC studies, or multi-reader studies are not applicable to this submission, as it is for a physical medical device (electrosurgical electrodes) and not an AI/ML-based diagnostic or therapeutic software.

    The document primarily covers bench testing, biocompatibility testing, and sterilization validation.

    Here's an attempt to answer the questions based on the provided text, indicating "Not Applicable" where the information is not present or relevant to this type of device submission.

    1. Table of Acceptance Criteria and Reported Device Performance

    The document doesn't present a formal table of quantitative acceptance criteria with numerical performance targets in the way one might for an AI/ML device (e.g., AUC > X, sensitivity > Y%). Instead, the acceptance criteria are implicitly that the device passes various engineering and biological tests, performing equivalently to the predicate device.

    Test CategoryAcceptance Criteria (Implicit)Reported Device Performance
    Electrical Safety & Electromagnetic CompatibilityCompliance with FDA recognized standards (IEC 60601-1, -1-2, -2-2, -2-18).Pass
    Mechanical Strength & FunctionalityDesign specifications are met under mechanical stress tests.Pass
    Thermal Effects on TissueEquivalent coagulation performance to predicate device across different power levels, application times, and tissue types (visual and digital morphometric measurement via histology).Equivalent coagulation performance to predicate device
    Systems Performance / Bench-top ValidationDesign specifications are met; proper interaction with compatible RF generator.Pass
    BiocompatibilityCompliance with ISO 10993-1.Requirements met
    Sterilization ValidationCompliance with ISO 11135, ISO 11737-1, ISO 11137-2, ISO 14937, ISO 10993-7. SAL 10^-6, EO/ECH residuals below limits.Compliance demonstrated; SAL 10^-6; EO/ECH limits met
    Shelf Life TestingMaintain functionality and sterility for specified duration per ISO 11607-1.1 year shelf life

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

    • Sample Size: Not explicitly stated in numerical terms for each test.
      • For "Thermal effects on tissue": "Three different types of tissue were used, and tests were performed in triplicate." This describes 3 samples per tissue type, tested 3 times.
      • For other bench tests, the sample size is not specified but is implicitly part of the standard testing for device validation.
    • Data Provenance: The testing was conducted in line with internal R&D processes and FDA guidance. The location of the testing is not specified, but the applicant (Sutter Medizintechnik GmbH) is based in Germany. These are non-clinical bench tests, not patient data.

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

    Not Applicable. This is a physical device, and the "ground truth" is established by engineering and standard medical device performance testing, not by expert interpretation of patient data or images. "Visual comparison" for thermal effects implies a human assessment, but not by a panel of "experts" in the sense of clinical readers.

    4. Adjudication Method for the Test Set

    Not Applicable. No human-in-the-loop clinical test set requiring adjudication is described.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

    No. MRMC studies are typically for evaluating diagnostic performance of imaging devices or AI algorithms. This submission is for an electrosurgical tool.

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

    Not Applicable. This is not an algorithm or AI device. The phrase "standalone" might refer to the device's intrinsic performance, which is assessed through the various bench tests described (electrical safety, mechanical strength, thermal effects, systems performance).

    7. The Type of Ground Truth Used

    The "ground truth" for this device's performance validation is established through:

    • Engineering specifications and test standards: Compliance with IEC and ISO standards for electrical safety, biocompatibility, sterilization, and packaging.
    • Physical measurements and visual assessment: For mechanical strength and thermal effects on tissue (including digital morphometric measurement using histology).
    • Comparison to predicate device: Demonstration of equivalent performance and characteristics to a legally marketed predicate device.

    8. The Sample Size for the Training Set

    Not Applicable. This is not an AI/ML device that requires a training set.

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

    Not Applicable. No training set exists.

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