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510(k) Data Aggregation

    K Number
    K980722
    Manufacturer
    Date Cleared
    1998-03-23

    (27 days)

    Product Code
    Regulation Number
    892.1850
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    TRIMAX RADIOGRAPHIC CASSETTE

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

    Imation Trimax Cassettes are intended for use during diagnostic x-ray procedures to hold a radiographic film in close contact with an x-ray intensifying screen and to provide a light-proof enclosure for direct exposure of radiographic film.

    Device Description

    Imation Trimax Cassettes are intended for use during diagnostic x-ray procedures to hold radiographic film in close contact with an x-ray intensifying screen and to provide a light-proof enclosure for direct exposure of radiographic film. The cassettes are in a family of film sizes. The Trimax C-1 series contain a window that permits writing by a radiographic film marking system. The Trimax C-2 series is windowless.

    Radiologic cassettes are comprised of a light-tight chamber for preventing radiologic film exposure, a compressible backplate material to assure intimate film screen contact, a latching mechanism for removal and replacement of radiographic film, a patientoriented surface transparent to x-ray energy, lead shielding to prevent unwanted exposure to stray x-ray energy and suitable support structure for durability of the assembly.

    AI/ML Overview

    The provided text does not contain detailed information regarding specific acceptance criteria, device performance metrics, or study designs with sample sizes, expert qualifications, or ground truth establishment for the Imation Trimax™ Cassette. The submission focuses on substantial equivalence to a predicate device and conformance to voluntary design standards.

    Therefore, I cannot populate the table or answer the questions with the requested level of detail regarding performance data.

    However, based on the limited information provided, here's what can be inferred:

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

    Acceptance CriteriaReported Device Performance
    Conformance to ANSI standard PH. 1.49(1995)Imation believes the subject device is safe and effective based on comparison to the predicate device and by conformance to this design standard.
    Conformance to IEC 406(1996)Imation believes the subject device is safe and effective based on comparison to the predicate device and by conformance to this design standard.
    Conformance to DIN 6832(1992)Imation believes the subject device is safe and effective based on comparison to the predicate device and by conformance to this design standard.
    Substantial Equivalence to predicate device (DuPont/Sterling Intensifying Screens and Cassettes)Imation believes the subject device is safe and effective based on comparison to the predicate device.

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)
    No information provided. The submission relies on conformance to voluntary standards and comparison to a predicate device, rather than a specific performance study with a test set.

    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, as no specific performance study with a test set requiring expert ground truth is described.

    4. Adjudication method (e.g. 2+1, 3+1, none) 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 study was mentioned. The device is a radiographic film cassette, not an AI-powered system for image interpretation.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
    Not applicable. The device is a physical component, not an algorithm.

    7. The type of ground truth used (expert concensus, pathology, outcomes data, etc)
    Not applicable, as no specific performance study with a test set requiring ground truth is described. The "ground truth" for the submission is based on the established safety and effectiveness of the predicate device and the adherence to relevant industry standards.

    8. The sample size for the training set
    Not applicable. This device is a physical product, not an AI model requiring a training set.

    9. How the ground truth for the training set was established
    Not applicable.

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