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510(k) Data Aggregation

    K Number
    K161188
    Device Name
    HEPATIQ 1.1
    Manufacturer
    Date Cleared
    2016-06-09

    (43 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    N/A
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    HEPATIQ is a nuclear medicine software application used to display and process liver-spleen images. The results obtained may be used as a tool, by a nuclear physician, in quantifying liver-spleen images. The data processed may be derived from any nuclear medicine liver-spleen procedure. The HEPATIQ software should only be used by qualified nuclear medicine professionals.

    Device Description

    HEPATIQ is a nuclear medicine software application used to display and process liver-spleen images.

    AI/ML Overview

    I am sorry, but the provided text from the FDA 510(k) summary for HEPATIQ 1.1 does not contain the detailed information required to describe the acceptance criteria and the study that proves the device meets those criteria.

    The document is a letter from the FDA to HEPATIQ LLC confirming the substantial equivalence of their device to a predicate device, and includes the "Indications for Use" for HEPATIQ 1.1.

    It does not include:

    1. A table of acceptance criteria and reported device performance.
    2. Sample sizes for test or training sets, nor data provenance.
    3. Information on experts used for ground truth (number or qualifications).
    4. Adjudication methods.
    5. Findings from an MRMC comparative effectiveness study or effect sizes.
    6. Details of a standalone algorithm performance study.
    7. The type of ground truth used (e.g., pathology, outcomes data).
    8. How ground truth for the training set was established.

    Therefore, I cannot fulfill your request for this specific information based on the provided text.

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    K Number
    K142891
    Device Name
    HEPATIQ
    Manufacturer
    Date Cleared
    2014-12-17

    (75 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    HEPATIQ is a nuclear medicine software application used to display and process liver-spleen images. The results obtained may be used as a tool, by a nuclear physician, in quantifying liver-spleen images. The data processed may be derived from any nuclear medicine liver-spleen procedure. The HEPATIQ software should only be used by qualified nuclear medicine professionals.

    Device Description

    HEPATIQ is Microsoft Windows software that allows the user to display and process nuclear medicine liver-spleen images. HEPATIQ software runs on any nuclear medicine workstation running Windows XP SP3 or later. HEPATIQ software provides the user a means for quantification of nuclear medicine liver-spleen images.

    AI/ML Overview

    Here's an analysis of the provided text, focusing on the acceptance criteria and the study used to prove the device meets these criteria:

    Device Acceptance Criteria and Performance Study

    The HEPATIQ device is a nuclear medicine software application used to display and process liver-spleen images for quantifying Perfused Hepatic Mass (PHM). The study aimed to demonstrate substantial equivalence to its predicate device, PEGASYS Ultra, particularly regarding its automation feature for PHM calculation.

    1. Acceptance Criteria and Reported Device Performance

    The core acceptance criterion for HEPATIQ was its ability to calculate PHM values that are highly correlated with the manual PHM calculations from the predicate device, PEGASYS.

    Acceptance CriteriaReported Device Performance
    Minimum R² (coefficient of determination) of 90%Achieved an R² of 97% between manual PHM calculations using PEGASYS and automatic PHM calculations using HEPATIQ. This exceeded the 90% validation criterion.

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

    The document states that "a set of test images" was used. The exact sample size for the test set is not explicitly provided. The data provenance is also not explicitly stated (e.g., country of origin, retrospective or prospective).

    3. Number of Experts and Qualifications for Ground Truth

    The document does not mention the use of experts to establish a "ground truth" in the traditional sense (e.g., multiple radiologists independently reviewing images). Instead, the validation was a direct comparison between HEPATIQ's automated calculations and the predicate device's manual calculations. The predicate device's manual calculations were presumed to be the "ground truth" or reference for comparison.

    4. Adjudication Method for the Test Set

    No explicit adjudication method (e.g., 2+1, 3+1) is mentioned because the validation was a direct comparison between two calculation methods (HEPATIQ vs. PEGASYS), not a human-adjudicated review of medical imagery.

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

    No MRMC comparative effectiveness study was performed. The validation focused on the correlation of the automated calculation feature of HEPATIQ with the manual calculation of the predicate device. Therefore, no effect size of human readers improving with AI vs. without AI assistance is applicable or reported.

    6. Standalone Performance Study

    Yes, a standalone (algorithm only) performance study was performed. The study directly compared the automatic PHM calculations of HEPATIQ with the manual PHM calculations of the predicate device (PEGASYS) for a given set of images. This demonstrates the performance of the algorithm without human intervention, specifically for the automated calculation feature.

    7. Type of Ground Truth Used

    The "ground truth" used for this validation was the manual PHM calculations performed by the predicate device, PEGASYS. This served as the reference against which HEPATIQ's automated calculations were compared.

    8. Sample Size for the Training Set

    The document does not provide information about a separate training set or its sample size. The focus of the provided text is on the validation study comparing HEPATIQ's performance to its predicate device. This suggests that the development and training (if any involving machine learning) happened prior to this validation, and details are not included in this summary.

    9. How Ground Truth for the Training Set Was Established

    As no training set is described, the method for establishing its ground truth is also not mentioned.

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