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510(k) Data Aggregation

    K Number
    K072180
    Date Cleared
    2007-12-18

    (134 days)

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

    VISION-SCIENCES CST-5000 VIDEO CYSTOSCOPE WITH ENDOSHEATH SYSTEM

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

    The flexible video cystoscope with digital video processor and disposable sheath system is intended for use in endoscopic access and examination of the lower urinary tract, including the bladder and, using additional accessories, to perform various diagnostic and therapeutic procedures.

    The digital video processor is intended for use with the VSI flexible video scope.

    Device Description

    The VSI flexible endoscope is a flexible endoscope with connections to a video processor and display monitor. The EndoSheath® Systems are sterile, single-use protective sheath systems, with or without a working channel, that are intended to cover the entire insertion tube of the videoscope. The digital video processors are used with the flexible videoscope for image visualization and capture.

    AI/ML Overview

    This appears to be a 510(k) premarket notification for a medical device, specifically a modified flexible videoscope with EndoSheath® Systems. This type of submission focuses on demonstrating substantial equivalence to a predicate device rather than a comprehensive study proving the device meets specific acceptance criteria in the way a new, innovative AI device might.

    Therefore, much of the requested information regarding AI device performance, sample sizes for test/training sets, ground truth establishment, expert adjudication, and MRMC studies, is not applicable or available in this type of regulatory document for this specific device.

    However, I can extract and infer some information based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance:

    The document doesn't explicitly list a table of acceptance criteria with numerical performance metrics as might be seen for an AI diagnostic device. Instead, acceptance for a Special 510(k) is based on compliance with design controls and demonstrating that the modifications do not raise new questions of safety or effectiveness, thus maintaining substantial equivalence to the predicate device.

    Acceptance Criteria (Implied for a Special 510(k) Device Modification)Reported Device Performance (Implied from the "Conclusion" and FDA Letter)
    Compliance to 21 CFR 820.30 Design Control requirementsCertified compliance to 21 CFR 820.30 Design Control requirements
    Risk Analysis procedure completionDescription of internal Risk Analysis procedure provided
    Biocompatibility testing passedV&V activities including biocompatibility testing addressed
    Scope/sheath/processor system functional and performance testing passedV&V activities including scope/sheath/processor system functional and performance testing addressed
    Software validation completedSoftware validation addressed via comprehensive Design Validation and Verification planning
    Maintains substantial equivalence to predicate deviceFDA determined the device is substantially equivalent to predicate devices
    Safe and effective for intended useShown to be safe and effective for intended use

    2. Sample size used for the test set and the data provenance:

    • Sample Size for Test Set: Not specified. The performance testing mentioned (biocompatibility, functional, software validation) would have involved specific test samples (e.g., a certain number of endoscopes, sheaths, or software tests), but these are not clinical 'test sets' in the context of an AI study.
    • Data Provenance: Not specified. These are likely internal laboratory and engineering tests rather than a "dataset" from a specific country.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • Not applicable. This is not a study requiring expert-established ground truth for a diagnostic output. The ground truth for engineering and biocompatibility tests would be established through defined standards and measurements.

    4. Adjudication method for the test set:

    • Not applicable.

    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:

    • No MRMC comparative effectiveness study was done, as this is not an AI device.

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

    • Not applicable, as this is not an AI device.

    7. The type of ground truth used:

    • For the performance testing mentioned (biocompatibility, functional, software validation), the ground truth would be based on engineering specifications, recognized standards (e.g., ISO for biocompatibility), and predefined pass/fail criteria for device functionality and software operation.

    8. The sample size for the training set:

    • Not applicable, as this is not an AI device with a training set.

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

    • Not applicable, as this is not an AI device with a training set.

    Summary of what the document does indicate:

    • This is a Special 510(k) Premarket Notification for a device modification. This means the focus is on showing the modified device is substantially equivalent to existing, predicate devices, rather than proving novel performance from scratch.
    • The manufacturer provided certification of compliance to 21 CFR 820.30 Design Control requirements and described their internal Risk Analysis procedure.
    • Validation and Verification (V&V) activities were performed, including biocompatibility testing, scope/sheath/processor system functional and performance testing, and software validation. These are standard engineering and quality control tests for medical devices.
    • The FDA concluded the device is substantially equivalent to legally marketed predicate devices, meaning it is as safe and effective as those devices for its intended use.
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