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510(k) Data Aggregation

    K Number
    K983617
    Manufacturer
    Date Cleared
    1998-11-16

    (32 days)

    Product Code
    Regulation Number
    862.2050
    Reference & Predicate Devices
    Why did this record match?
    Product Code :

    LCI

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

    FOR IN VITRO DIAGNOSTIC USE. This kit intended for the quantitative determination of 25-hydroxyvitamin D (25-OH-D) and other hydroxylated vitamin D metabolites in human serum or plasma to be used in the assessment of vitamin D sufficiency. Assay results should be used in conjunction with other clinical and laboratory data to assist the clinician in making individual patient management decisions in an adult population.

    Device Description

    Immunoassay kit for quantitative determination of 25-hydroxyvitamin D

    AI/ML Overview

    The provided text describes a Special 510(k) submission for a device modification to the DiaSorin 25-Hydroxyvitamin D 125I RIA Kit. The submission focuses on demonstrating substantial equivalence to a predicate device (K953567) while highlighting improved analytical sensitivity and precision of the modified device.

    Here's an analysis of the requested information based on the provided text:

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

    The document does not explicitly state numerical acceptance criteria. Instead, it refers to a comparative standard:

    Acceptance Criteria (Implied)Reported Device Performance
    Equal or surpass the performance characteristics of the predicate device (K953567)• Verification and validation testing demonstrated that the performance characteristics of the modified device equaled or surpassed those of the predicate device.
    • The modified device demonstrates improved analytical sensitivity and precision compared 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)

    • Sample Size: The document states "the use of patient serum samples," but does not specify the exact number of samples used in clinical testing.
    • Data Provenance: The country of origin and whether the data was retrospective or prospective are not mentioned in the provided text.

    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)

    This information is not provided. The document describes an in vitro diagnostic device, and ground truth for such devices is typically established through reference methods or established assays, not necessarily by human expert consensus in the way it would be for an imaging AI device.

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

    This information is not provided and is generally not applicable to in vitro diagnostic device performance studies as described here. Adjudication methods are more commonly associated with human interpretation of results, particularly in imaging studies.

    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, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not done. This type of study is relevant for AI-assisted human interpretation, typically in contexts like medical imaging. The DiaSorin device is an in vitro diagnostic kit for quantitative determination of a biomarker, not an AI system designed to assist human readers in interpreting complex data.

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

    Yes, the testing described appears to be a standalone performance evaluation of the modified in vitro diagnostic kit. The "Verification and validation testing" including "the use of patient serum samples" directly evaluates the performance of the device itself (the immunoassay kit) in determining 25-hydroxyvitamin D levels, independent of human interpretive intervention or AI.

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

    The document does not explicitly state the specific "ground truth" method used. However, for an immunoassay kit, ground truth is typically established by:

    • Reference methods: A highly accurate and precise method considered the "gold standard" for measuring the analyte (e.g., LC-MS/MS for vitamin D metabolites).
    • Established predicate device/comparators: Comparing results to a well-characterized and legally marketed assay that serves as the basis for performance evaluation.
      While the document mentions comparison to the predicate device, it doesn't detail how the predicate device's accuracy itself was derived.

    8. The sample size for the training set

    This information is not provided. The concepts of "training set" are primarily relevant to machine learning or AI models. This device is an immunoassay kit, which is a chemical and biological assay, not trained using data in the same way an AI algorithm would be.

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

    Not applicable as this is an immunoassay kit, not an AI model requiring a training set developed with ground truth.

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