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510(k) Data Aggregation

    K Number
    K071756
    Date Cleared
    2007-08-15

    (48 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    POINTE CONCEPTION MEDICAL, INC

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

    The Endohub-1.0 Endoscopic Video Camera with Video Capture is intended to be used as an endoscopic video camera in a variety of endoscopic surgical procedures, including but not limited to; orthopedic, laparoscopic, urologic, sinuscopic and plastic surgical procedures. The device is also intended to be used as an accessory for microscopic surgery.

    Device Description

    The Endohub-1.0 Endoscopic Video Camera System is a video camera system which consists of a Camera Control Unit [CCU] and Camera Head. The Endohub-1.0 Camera System is used in conjunction with an endoscope to allow for visualization during minimally invasive surgical procedures. Sterilization of the camera head may be required prior to use. The camera head may be steam sterilized. The camera head may utilize 1CCD or 3CCD image sensors, and employ either fixed or variable focal length optics. The Endohub-1.0 Camera System incorporates an image capture system which allows for the capture of streaming video or still video images.

    AI/ML Overview

    The provided text describes a 510(k) summary for the Endohub-1.0 Endoscopic Video Camera System. This type of regulatory submission establishes substantial equivalence to a predicate device and does not typically include detailed performance studies with acceptance criteria, sample sizes, expert-adjudicated ground truth, or multi-reader multi-case studies as would be seen for AI/ML device submissions.

    Based on the provided information:

    1. Table of Acceptance Criteria and Reported Device Performance:

    The document does not specify quantitative acceptance criteria or provide a table of performance metrics. The claim for the Endohub-1.0 is based on substantial equivalence to a predicate device.

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

    No test set with a specific sample size or data provenance is mentioned. The device's performance is assumed to be equivalent to the predicate device based on its design and intended use.

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

    Not applicable. The submission does not describe a study involving human experts establishing ground truth for a test set.

    4. Adjudication Method for the Test Set:

    Not applicable. There is no mention of a test set requiring adjudication.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and the Effect Size:

    No MRMC comparative effectiveness study is mentioned. This type of study is more common for diagnostic or AI-powered devices, not for basic endoscopic video camera systems demonstrating substantial equivalence to existing technology.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done:

    Not applicable. This device is a video camera system, not an algorithm. Its function is to capture and display images for human interpretation during surgical procedures.

    7. The Type of Ground Truth Used:

    Not applicable. The submission does not define a "ground truth" as would be relevant for a diagnostic or AI device. The equivalence is based on the functional aspects of the video camera system.

    8. The Sample Size for the Training Set:

    Not applicable. There is no mention of a training set as this is not an AI/ML device.

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

    Not applicable. As there is no training set for an AI/ML model, no ground truth establishment is described.

    Summary of Device Acceptance Criteria and Study Information from the Provided Text:

    The Endohub-1.0 Endoscopic Video Camera System’s acceptance is based on demonstrating substantial equivalence to a legally marketed predicate device (Linvatec Corporation's Autoclavable 3-CCD Digital Camera System, K031098). The study supporting this acceptance is a comparative analysis against the predicate, focusing on:

    • Indications for Use: The Endohub-1.0 is intended for use as an endoscopic video camera in various surgical procedures (orthopedic, urologic, sinuscopic, plastic, and microscopic surgery) and allows for presentation of endoscopic images onto video monitors. This is stated to be equivalent to the predicate.
    • Basic Design: The system consists of a Camera Control Unit (CCU) and Camera Head, similar to the predicate.
    • Energy Delivered: Not specified, but implied to be equivalent.
    • Biocompatibility: Implied to be equivalent.
    • Performance: Implied to be equivalent, meaning it performs its function of capturing and displaying video for endoscopic procedures to a similar standard as the predicate. No specific quantitative performance metrics are provided.
    • Standards Used: Compliance with IEC 60601-1, IEC 60601-2-18, and IEC 60601-1-2 for safety and electromagnetic compatibility forms part of the acceptance criteria.
    • Materials: Implied to be equivalent.
    • Safety and Effectiveness: No significant differences that would raise concerns regarding safety or effectiveness compared to the predicate.
    • Labeling: Implied to be equivalent.

    The submission concludes that there are "no significant differences in the new device which raise issues of safety or effectiveness," leading to the FDA's determination of substantial equivalence. This regulatory pathway does not require the extensive performance studies typically associated with novel or AI-powered devices.

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