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510(k) Data Aggregation

    K Number
    K131656
    Manufacturer
    Date Cleared
    2013-09-27

    (113 days)

    Product Code
    Regulation Number
    884.1720
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The MORCELLEX SIGMA™ Generator is used with the following ETHICON Morcellation Devices: GYNECARE X-TRACT™, GYNECARE MORCELLEX™, and MORCELLEX SIGMA™. The MORCELLEX SIGMA™ Generator is used in conjunction with the ETHICON Morcellation Devices for gynecologic, urologic, and general surgical endoscopic use by trained professionals in hospital environments and ambulatory surgery centers. The MORCELLEX SIGMA™ Generator is used in conjunction with ETHICON Morcellation Devices for cutting, coring, and extracting tissue during operative laparoscopy, including laparoscopic general surgical procedures, laparoscopic urologic procedures, and laparoscopic gynecologic procedures.

    Device Description

    The MORCELLEX SIGMA™ Generator provides mechanical power to the ETHICON laparoscopic tissue morcellators via the morcellator's Flexible Drive Cable which connects the morcellator to the MORCELLEX SIGMA™ Generator. The MORCELLEX SIGMA™ Generator is equipped with a bi-directional motor that has a user-selectable speed range at which to rotate the ETHICON laparoscopic tissue morcellator. Activation buttons located on the Front Panel of the device allow the user to select the motor rotation direction and the speed of rotation.

    AI/ML Overview

    The provided text describes the MORCELLEX SIGMA™ Generator, a device used with laparoscopic tissue morcellators, and its 510(k) pre-market notification. The document focuses on demonstrating substantial equivalence to a predicate device rather than comprehensive clinical study results for novel acceptance criteria.

    The acceptance criteria and study information is highly limited to bench testing for performance and electrical safety/EMC.

    Here's an breakdown based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state numerical acceptance criteria. Instead, it describes characteristics that were evaluated and implies that the performance met the requirements for substantial equivalence to the predicate device.

    Characteristic EvaluatedReported Device Performance
    Bench Studies:
    Device WeightEvaluated (Implied to be comparable or acceptable for intended use, given it's "same approximate weight" as predicate)
    SpeedEvaluated (Stated to have "the same operational speed" as the predicate device, with a "user-selectable speed range")
    Torque OutputEvaluated (Stated to provide "greater maximum torque output compared to the predicate device")
    Activation/De-activation PressureEvaluated
    Compatibility with ETHICON Laparoscopic Tissue MorcellatorsEvaluated (Bench testing conducted to demonstrate compatibility)
    Electrical Safety and EMC:
    Electrical SafetyConducted in accordance with IEC 60601-1:1988 + A1:1991 + A2:1995 Medical Electrical Equipment - Part 1: General requirements for safety. (Implied compliance with standards)
    Electromagnetic CompatibilityConducted in accordance with IEC60601-1-2:2007 Medical electrical equipment – Part 1: General requirements for safety 2. Collateral standard: Electromagnetic compatibility - Requirements and tests. (Implied compliance with standards)
    Other Comparisons:
    Fundamental TechnologySame as predicate device
    Basic DesignSame as predicate device
    Principle of OperationSame as predicate device
    Bi-directional Motor RotationBoth the MORCELLEX SIGMA™ Generator and the predicate device provide bi-directional motor rotation.
    Rated VoltageEssentially the same as the predicate device.
    Rated FrequencyIdentical to the predicate device.
    DimensionsSame as the predicate device.
    Maximum Power DrawGreater than the predicate device.

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

    The document describes "bench studies" for performance evaluation and "Electrical safety and electromagnetic compatibility testing." There is no mention of a "test set" in the context of patient data or clinical imaging. These are laboratory-based tests. Therefore, specific sample sizes (e.g., number of devices tested for each characteristic) or data provenance (country of origin, retrospective/prospective) for a clinical test set are not applicable here.

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

    Not applicable. This device is a mechanical generator, and the "ground truth" for its performance is established through engineering and electrical testing against design specifications and relevant standards, not through expert clinical consensus on patient data.

    4. Adjudication Method for the Test Set

    Not applicable, as there is no human-interpreted "test set" or clinical data mentioned.

    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

    Not applicable. This device is a surgical generator and does not involve AI or human "readers" interpreting output.

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

    Not applicable. This is not an AI algorithm. Its performance is inherent in its mechanical and electrical operation.

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

    The "ground truth" for the device's performance is based on:

    • Engineering specifications and design requirements: for characteristics like speed, torque, weight, and dimensions.
    • International standards: IEC 60601-1 and IEC 60601-1-2 for electrical safety and electromagnetic compatibility.
    • Comparison to the predicate device: to establish substantial equivalence in terms of fundamental technology, basic design, principle of operation, and functional characteristics.

    8. The sample size for the training set

    Not applicable. This is a medical device (generator), not an AI algorithm that requires a training set.

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

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

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