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510(k) Data Aggregation

    K Number
    K090137
    Manufacturer
    Date Cleared
    2009-03-18

    (56 days)

    Product Code
    Regulation Number
    864.8625
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K992887

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

    STaK-Chex Plus Retics is an assayed whole blood control for evaluating the accuracy and precision of automated, semi-automated and manual procedures that measure blood cell parameters.

    Device Description

    STaK-Chex Plus Retics is a stabilized suspension of human red blood cells, a nucleated red blood cell analog, a white blood cell component consisting of human analogs and a platelet component consisting of a non-human analog in a preservative medium. The product is packaged in plastic vials containing 5ml. The closures are polypropylene screw caps with polyethylene liners. There are three different levels (low, normal and high). The vials will be packaged in a six (6) or twelve (12) welled vacuum formed "clam-shell" container with the package insert / assay sheet. The product must be stored at 2 - 10° C.

    AI/ML Overview

    The provided document describes the 510(k) submission for STaK-Chex® Plus Retics, an assayed hematology control. It details the device, its intended use, comparison to a predicate device, and the general types of studies conducted. However, it does not provide detailed acceptance criteria or the specific quantitative results of a study designed to prove the device meets those criteria in a format applicable to evaluating a medical diagnostic AI device.

    This submission is for a quality control product, not an AI or diagnostic device that would typically have performance metrics like sensitivity, specificity, or AUC against a ground truth. The studies cited are focused on product stability and reproducibility to demonstrate substantial equivalence to a predicate device.

    Therefore, many of the requested points cannot be answered based on the provided text, as they pertain to a different type of device evaluation (e.g., AI diagnostic device performance).

    Here's an attempt to extract relevant information and note what is not available:


    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state quantitative acceptance criteria in a table format for parameters like accuracy, precision, sensitivity, or specificity. The evaluation is focused on demonstrating "substantial equivalence" to a predicate device and stability. The "reported device performance" is qualitative, indicating consistent reproducibility and stability.

    Acceptance Criteria (Implied)Reported Device Performance
    Consistent Reproducibility (against predicate and itself)"Consistently reproducible"
    Substantial Equivalence to predicate device (STaK-Chex Plus Retics (K992887))"Substantially equivalent to the predicate product"
    Stability for claimed shelf life"Stable for the shelf life claimed" and "stable for the entire product dating"

    2. Sample Size Used for the Test Set and Data Provenance

    • Test Set Sample Size: Not explicitly stated. The studies mentioned are: Closed Vial Stability, Open Vial Stability, Run to Run Reproducibility, and External Site recovery of values. The number of samples (vials, runs, sites) used for each of these tests is not quantified.
    • Data Provenance: Not specified (e.g., country of origin). The studies appear to be internal (from Streck) and possibly external (for recovery of values), but no specific locations are provided.
    • Retrospective or Prospective: Not specified. Stability studies are typically prospective over time, but the overall nature of the data collection isn't detailed.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    This question is not applicable to this device type. The "ground truth" for a quality control product like STaK-Chex Plus Retics would be the expected values of the blood cell parameters it is designed to measure, established through manufacturing processes and validated assays, rather than expert interpretation of images or patient data. No experts are mentioned in the context of establishing ground truth for the test set.

    4. Adjudication Method for the Test Set

    Not applicable. Adjudication methods (like 2+1 or 3+1) are typically used for disputes in expert interpretation of diagnostic results, which is not relevant for a quality control product.

    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 hematology quality control mixture, not an AI or diagnostic system that human readers would use or that would assist human interpretation.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    Not applicable. This is not an algorithm or AI device.

    7. The Type of Ground Truth Used (Expert Consensus, Pathology, Outcomes Data, etc.)

    The "ground truth" for this product type is its assigned values for blood cell parameters, which are established during manufacturing and validated through internal testing and calibration with reference methods. The document states it is an "assayed whole blood control," meaning its values are predetermined. The studies confirm that new lots or conditions (stability) maintain these expected values.

    8. The Sample Size for the Training Set

    Not applicable. This is not a machine learning or AI device that requires a training set.

    9. How the Ground Truth for the Training Set Was Established

    Not applicable. As above, there is no training set for this type of device.


    In summary, the provided 510(k) summary focuses on demonstrating that a new version of a quality control product is substantially equivalent to an existing one by proving its stability and reproducibility. The type of acceptance criteria and study details requested are typically for diagnostic AI systems, which do not apply to this product.

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