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510(k) Data Aggregation

    K Number
    K093004
    Date Cleared
    2010-02-12

    (137 days)

    Product Code
    Regulation Number
    870.1200
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    IMPRESS ANGIOGRAPHIC CATHETER WITH HYDROPHILIC COATING

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

    Angiography catheters are designed to be used for delivering radiopaque media to selected sites in the vascular system in conjunction with routine diagnostic procedures. Angiographic catheters with marker bands may also be used for anatomical measurements.

    Device Description

    The Impress® Angiographic Catheters with hydrophilic coating are single lumen catheters offered in 4F and 5F sizes and 40cm to 125cm. The outer surface of the distal segment of the catheter shaft is coated with a hydrophilic coating.

    AI/ML Overview

    The provided text pertains to a 510(k) premarket notification for a medical device, specifically the Impress® Angiographic Catheter with Hydrophilic Coating. This type of submission focuses on demonstrating substantial equivalence to a predicate device, rather than detailed performance studies with a statistical analysis plan typically associated with novel AI devices.

    Therefore, many of the requested categories (e.g., sample size for test/training sets, number of experts, adjudication methods, MRMC studies, ground truth types) are not applicable to this document. The submission relies on comparative testing to existing, legally marketed devices.

    Here's an analysis based on the information provided:

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

    The document does not explicitly list a table of "acceptance criteria" against numerical performance metrics for the device, as would be expected for an AI/diagnostic device. Instead, it states:

    Acceptance Criteria (Implied)Reported Device Performance
    Safety and EfficacyMet acceptance criteria
    Substantial Equivalence to Predicate DevicesDemonstrated based on indications for use, design, safety, and performance testing.

    The "performance tests" mentioned are likely a series of engineering and biocompatibility tests (e.g., burst pressure, tensile strength, lubricity for the hydrophilic coating) to ensure the device meets its design specifications and operates safely, as opposed to a diagnostic accuracy study. The document emphasizes substantial equivalence to existing predicate devices (Impress® Angiographic Catheter K053171 and Radifocus® Glidecath™ K915414).

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

    Not applicable. This is a medical device registration (510(k)) for an angiographic catheter, not a diagnostic AI device requiring a clinical test set with patient data. The "tests" refer to device-specific engineering and biological compatibility evaluations.

    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. Ground truth establishment by experts is relevant for diagnostic performance studies, which are not detailed here.

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

    Not applicable. Adjudication methods are used in clinical studies when establishing ground truth from multiple expert interpretations, which is not described in this 510(k) submission.

    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 is not an AI-assisted diagnostic device.

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

    Not applicable. This is not an AI device.

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

    Not applicable. The concept of "ground truth" as relevant to diagnostic accuracy is not discussed. The "truth" here would refer to the device meeting its engineering specifications and being biologically safe and compatible.

    8. The sample size for the training set

    Not applicable. Training sets are relevant for AI algorithms.

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

    Not applicable. Training sets and their ground truth are relevant for AI algorithms.

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