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510(k) Data Aggregation

    K Number
    K063528
    Device Name
    TROCASYS
    Date Cleared
    2007-01-17

    (56 days)

    Product Code
    Regulation Number
    876.1500
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    TROCASYS

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

    The Pajunk TrocaSys is a manually operated surgicall device intended for making incisions into the patient's body to allow the insertion of endoscopes and endoscopic accessories during general endoscopic and laparoscopic procedures.

    Device Description

    The Pajunk TrocaSys consists of disposable trocar sleeves, disposable trocars and obturators and disposable valves (i.e. TrocaTec, TrocaPort, Hasson system for example for insufflation). The system is based on Pajunks reusable Trocars, Trokar sleeves and Accessories already cleared in K012771. The technical description remains unchanged. The systems and its accessories are manually operated surgical devices used by physicians for making incisions into the patient's body to allow insertion of endoscopes and end propio accessories during general endoscopic and laparoscopic procedures. The devices follow the FDA Draft Guidance for the Content of Premarket Notifications for Endoscopes used in Gastroenterology and Urology, dated 3/17/95. The trocars and obturators are used together with the trocar sleeves for puncture of the patient's body. After having made the incision, the trocar is removed to allow insertion of end scope and endoscopic accessories. The Disposable Hasson Cone, Disposable obturators/ trocars, Disposable Trocar valve, Disposable TrocaTec and Disposable TrocaPort are available seperately.

    AI/ML Overview

    This document is a 510(k) Premarket Notification Submission for a medical device called "TrocaSys disposable Trocar System." This type of submission focuses on demonstrating substantial equivalence to a legally marketed predicate device rather than conducting new clinical studies with defined acceptance criteria for device performance. Therefore, the information you've requested regarding acceptance criteria and performance studies in the way one might evaluate AI/ML-based devices or other novel technologies is not applicable within this document.

    Here's why and what information can be extracted:

    • 510(k) Submissions: These submissions establish that a new device is "substantially equivalent" to a legally marketed predicate device, meaning it has the same intended use and the same technological characteristics as the predicate, or has different technological characteristics but does not raise new questions of safety and effectiveness.
    • Focus on Equivalence: The primary "proof" in a 510(k) is the comparison to the predicate device, showing that the new device performs as safely and effectively as the predicate. This typically involves engineering tests, material compatibility, sterilization validation, and often a functional comparison, but not necessarily a clinical study with detailed performance metrics against specific acceptance criteria.

    Therefore, your direct questions regarding "acceptance criteria" and a "study that proves the device meets the acceptance criteria" in terms of clinical performance metrics are not directly addressed in this type of submission.

    However, I can extract information related to the device and its regulatory context:

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

    As explained above, this 510(k) submission does not present acceptance criteria and reported device performance in the typical manner of a novel device proving its efficacy or diagnostic accuracy. The "acceptance criteria" for a 510(k) are met by demonstrating substantial equivalence to a predicate device.

    The document states: "The system is based on Pajunks reusable Trokars, Trokar sleeves and Accessories already cleared in K012771. The technical description remains unchanged." This implies that the performance characteristics should be equivalent to the predicate device.

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

    Not applicable. This submission doesn't detail a clinical study with a "test set" in the sense of patient data for performance evaluation. The "data provenance" would relate to the technical specifications and testing against standards for the device itself (e.g., material testing, sterilization validation), not patient data.

    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)

    Not applicable. There is no mention of a "test set" requiring expert ground truth establishment for clinical performance in this 510(k) submission.

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

    Not applicable. No such adjudication method is mentioned as there is no clinical test set for performance evaluation described.

    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 manual surgical tool (trocar system), not an AI-assisted diagnostic or therapeutic system. Therefore, MRMC studies and AI assistance are not relevant.

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

    Not applicable. This device is a manual surgical tool, not an algorithm.

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

    Not applicable in the context of clinical performance evaluation. The "ground truth" for this device would be its ability to physically perform its function safely and effectively as a surgical tool, which is assessed through engineering principles, material science, and comparison to the predicate.

    8. The sample size for the training set

    Not applicable. There is no "training set" in the context of machine learning or AI described for this manual surgical device.

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

    Not applicable. As there is no training set, this question is not relevant.

    In summary, the provided document is a regulatory submission focused on demonstrating substantial equivalence of a new manual surgical device to a predicate device, rather than a report on a clinical study with specific performance acceptance criteria for a novel technology.

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