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510(k) Data Aggregation

    K Number
    K140916
    Date Cleared
    2014-05-06

    (26 days)

    Product Code
    Regulation Number
    862.1660
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Liguichek Cardiac Troponins Control is intended for use as an assayed quality control server to monitor the precision of laboratory testing procedures for the analytes listed in this package insert.

    • Troponin I
    • Troponin T
    Device Description

    Liquichek Cardiac Troponins Control is a trilevel liquid control prepared from human protein with added constituents of human and animal origin, stabilizers and preservatives. Liquichek Cardiac Troponins Control is intended for use as an assayed quality control to monitor the precision of Troponin I and Troponin T in laboratory testing procedures.

    AI/ML Overview

    The provided text describes a 510(k) summary for the "Liquichek Cardiac Troponins Control" device. This is a quality control material intended for use in laboratory testing procedures for Troponin I and Troponin T. This type of device does not involve an AI algorithm or human-in-the-loop performance, but rather relates to the stability and performance of a diagnostic control solution.

    Therefore, many of the requested points, such as AI-specific study details, expert qualifications, adjudication methods, MRMC studies, and ground truth for training sets, are not applicable to this submission.

    Here's a breakdown of the available information:

    1. Table of Acceptance Criteria and Reported Device Performance

    TestAcceptance CriteriaReported Device Performance
    Thawed and Opened Stability25 days at 2 to 8 °CMet acceptance criteria
    Frozen Aliquot Stability Studies30 days at -20°C to -70 °CMet acceptance criteria
    Shelf Life Stability18 months at -20°C to -70 °CMet acceptance criteria

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

    The document does not explicitly state the sample sizes (number of units or measurements) used for the stability studies. It mentions "multiple replicate analyses" for value assignment and "a representative sampling of the lot of product" for tests listed, but no specific numbers are given.
    Data provenance is not specified beyond being generated by "the manufacturer and/or independent laboratories."

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

    Not applicable. This device is a quality control material, not a diagnostic device that requires expert-established ground truth for interpretation. Its performance is evaluated through analytical stability studies.

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

    Not applicable. This type of adjudication is typically used for subjective diagnostic assessments, which is not the case for this quality control material.

    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 quality control material, not an AI-assisted diagnostic tool.

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

    Not applicable. This device does not involve an algorithm.

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

    The "ground truth" for this device is its stability and performance according to pre-defined analytical specifications. These specifications are based on established laboratory practices for quality control materials, which aim to ensure the material remains stable and provides consistent results over time within acceptable analytical variations. The document refers to "multiple replicate analyses that meet acceptance criteria" as the basis for initial value assignment and stability claims.

    8. The sample size for the training set

    Not applicable. This type of device does not involve a training set as it's not an AI/machine learning model.

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

    Not applicable. This type of device does not involve a training set.

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