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510(k) Data Aggregation

    K Number
    K023944
    Manufacturer
    Date Cleared
    2003-02-11

    (77 days)

    Product Code
    Regulation Number
    862.1155
    Reference & Predicate Devices
    N/A
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Bayer Diagnostics Clinitest® hCG Pregnancy Test is an in vitro qualitative test for the rapid detection of human chorionic gonadotropin (hCG) at a cut-off concentration of 25 mlU/ml in urine. This test kit is used to obtain a visual result and is intended for professional and laboratory use.

    Device Description

    Human Chorionic Gonadotropin (hCG) test system for the use in early detection of pregnancy.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and study details for the Bayer Diagnostics Clinitest® hCG Pregnancy Test, based on the provided text:

    Acceptance Criteria and Device Performance

    The core acceptance criterion for this device appears to be its ability to accurately detect hCG at a specific concentration and differentiate between various hCG levels, particularly around the 25 mIU/mL cutoff.

    Acceptance CriteriaReported Device Performance
    Sensitivity: Detect hCG at 25 mIU/mLThe device detects urinary hCG at 25 mIU/mL.
    Accuracy (Agreement with Commercial Assay): 100% agreement with a commercial hCG immunoassay at tested concentrations (0, 25, 100 mIU/mL)100% agreement with the commercial hCG assay (ADALTIS Italia immunoradiometric assay) was observed for samples at 0, 25, and 100 mIU/mL.

    Study Details

    2. Sample Size and Data Provenance

    • Test Set (Sensitivity Study):
      • Sample Size: 280 samples (20 samples per hCG concentration level across 7 levels x 2 product lots). Each sample was blind-labeled and tested.
      • Data Provenance: The samples were prepared in-house by spiking negative urine (from 4 donors) with hCG standard. This suggests laboratory-controlled, prospective data generation rather than retrospective patient data.
    • Test Set (Accuracy Study):
      • Sample Size: 200 visual test results (68 samples at 0 mIU/mL, 66 at 25 mIU/mL, 66 at 100 mIU/mL).
      • Data Provenance: The samples were prepared by pooling four urine specimens and spiking them with hCG, then tested at two external sites. This is also laboratory-controlled, prospective data.

    3. Number of Experts and Qualifications for Ground Truth (Test Set)

    • Sensitivity Study: "Samples were randomly distributed among four visual readers for each product lot."
      • Number of Experts: 4
      • Qualifications: Not specified. It's likely they were trained laboratory personnel or similar, given the context of a professional-use device, but no specific professional titles (e.g., medical technologists, clinical laboratory scientists) or years of experience are listed.
    • Accuracy Study: For the Clinitest® hCG results, it states "visual test results," implying human readers.
      • Number of Experts: Not explicitly stated how many individual readers performed the tests at the external sites, only that there were "two external sites."
      • Qualifications: Not specified.

    4. Adjudication Method for the Test Set

    • Sensitivity Study: The text mentions "four visual readers for each product lot" and then reports aggregate "Number of Positives" and "Number of Negatives." It does not explicitly describe an adjudication method (e.g., 2+1, 3+1). It's possible that each reader's result contributed to the count, or a consensus was reached, but the specific process isn't detailed.
    • Accuracy Study: The results are reported as "Clinitest® hCG Visual Results" and "100% agreement of sample results with the commercial hCG assay." No specific reader adjudication process is detailed beyond the visual reading at two external sites.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • No, this was not an MRMC comparative effectiveness study involving human readers with and without AI assistance. The device itself is a qualitative invitro diagnostic test for visual reading, not an AI-powered diagnostic tool. The "readers" mentioned are simply individuals interpreting the visual test results.

    6. Standalone Performance Study

    • Yes, a standalone performance study was done. The entire performance section describes the algorithm's (the test's) ability to detect hCG in urine samples independent of a human interpretation for comparison or assistance. The "visual readers" are the mechanism by which the device (algorithm) provides a result, not an interface for an AI. The device is intended to provide a visual result, and its performance is the standalone performance.

    7. Type of Ground Truth Used

    • Sensitivity Study: The ground truth was established by spiking negative urine with known concentrations of hCG standard. This is a highly controlled, synthetic ground truth. The hCG standard itself is calibrated against WHO 3rd International Reference Preparation (IRP).
    • Accuracy Study: The ground truth for this study was established using a commercial hCG immunoassay (an immunoradiometric assay made by ADALTIS Italia). This is an external reference standard.

    8. Sample Size for the Training Set

    • The document does not describe a training set in the context of machine learning or AI. This is a traditional immunoassay device, not an AI algorithm. Therefore, the concept of a "training set" for an AI model is not applicable here.

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

    • As there is no mention of an AI algorithm or a training set, this question is not applicable to the provided information.
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