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510(k) Data Aggregation

    K Number
    K941604
    Date Cleared
    1997-02-14

    (1050 days)

    Product Code
    Regulation Number
    866.5550
    Reference & Predicate Devices
    N/A
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Not Found

    Device Description

    Ventana Medical Systems, Inc. developed the Ventana Anti-CD4 (clone SFCI12T4D11) for use on the Ventana ES automated immunohistochemistry system.

    AI/ML Overview

    Here's an analysis of the provided text based on your request:

    Acceptance Criteria and Study for K941604

    1. Table of Acceptance Criteria and Reported Device Performance

    Based on the provided text, the acceptance criteria are implicitly derived from the "Results" section, focusing on appropriate and specific staining of CD4 in lymphoid cells and the absence of inappropriate staining.

    Acceptance CriteriaReported Device Performance (Ventana Anti-CD4)
    Specific staining of lymphoid cells of CD4 origin (e.g., T cells)Staining occurred in the plasma membrane of lymphoid cells from normal tonsil, thymus, and blood.
    Absence of staining in negative control tissueNegative control tissue was all negative.
    Absence of inappropriate staining in non-lymphoid tissuesThere was no inappropriate staining of the tissues in this study.
    Sensitivity (appropriate staining of CD4+ cells; no staining of non-CD4+ cells)Appropriate staining of cells of lymphoid origin and no staining of cells of non-lymphoid origin. Data agrees with Reinherz et al.
    Reactivity in T cell lymphomasConsistent staining of 9 of 9 T cell lymphomas.
    Reactivity in normal lymphoid tissuesAppropriate staining of normal lymphoid tissues (4/4 peripheral blood lymphocyte cytospins, 4/4 thymus tissues, 10/10 tonsil tissues).
    Negative control with each tissue producing negative resultsThe negative control which was run with each tissue gave negative results.
    Inter-run reproducibility (positive control consistently stains positive across multiple runs)Same positive control (tonsil) used on 10 different instrument runs; all 10 slides stained positively for CD4 antigen.
    Intra-run reproducibility (positive control consistently stains positive within a single run)10 samples of the same frozen tonsil tissue within one run; all 10 slides stained positively for CD4 antigen.

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

    • Sample Size:
      • T cell lymphomas: 9 samples
      • Normal peripheral blood lymphocyte cytospins: 4 samples
      • Normal thymus tissues: 4 samples
      • Normal tonsil tissues: 10 samples
      • Negative control tissue: The text states "Negative control tissue was all negative" but doesn't specify the number of negative control samples.
      • Inter-run reproducibility: 1 positive control (tonsil) run 10 times.
      • Intra-run reproducibility: 10 samples of the same positive control (tonsil).
    • Data Provenance: Samples were obtained from "excess tissues obtained for reasons other than the present study." This indicates the data is retrospective. The country of origin is not specified.

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

    • Number of Experts: 1
    • Qualifications: "a qualified pathologist"

    4. Adjudication Method for the Test Set

    • Adjudication Method: None explicitly stated, as only one pathologist was involved in the evaluation.

    5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study Was Done, and Effect Size

    • MRMC Study: No, an MRMC comparative effectiveness study was not done. The study focused on the performance of the antibody itself as evaluated by a single pathologist.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    • Standalone Performance: Not applicable. This device is an immunohistochemistry reagent (antibody) used in a pathological staining process, not an AI algorithm. Its "performance" is its ability to stain specific cellular components, which is then interpreted by a human pathologist. The Ventana ES system is an automated stainer, but the "device" under review here is the anti-CD4 antibody.

    7. The Type of Ground Truth Used

    • Ground Truth: The ground truth appears to be based on the expert evaluation by a qualified pathologist of the tissue samples, combined with existing knowledge of CD4 distribution in normal and pathological tissues referenced by "Reinherz et al.1". Essentially, it's expert consensus/pathological assessment.

    8. The Sample Size for the Training Set

    • Training Set Sample Size: Not applicable. This is not an AI/machine learning device that requires a training set. The "supporting data" described is for validation of the antibody's performance.

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

    • Ground Truth for Training Set: Not applicable, as there is no training set for an antibody reagent. The development of the Ventana Anti-CD4 (clone SFCI12T4D11) would have involved extensive R&D and validation steps, but the concept of a "training set" for establishing ground truth isn't relevant in this context.
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