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510(k) Data Aggregation

    K Number
    K183193
    Manufacturer
    Date Cleared
    2019-08-01

    (255 days)

    Product Code
    Regulation Number
    892.2050
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    MREplus+ Software

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

    MREplus+ Software is an assisted ROI drawing tool for liver MRE and Fat/Water images and is used for receiving, display, ROI selection, and analysis generation. It displays to a trained reader MRE and Fat/Water images, preliminary ROIs that it calculates from these images, and statistical analysis calculated from the ROIs and images are presented in a way for review and, optionally, modification by the trained reader.

    Device Description

    The MREplus+ software is a tool for assisted Magnetic Resonance Elastography (MRE) and multipoint Dixon Fat/Water (FW) image analysis which calculates preliminary automated regions of interest (ROIs) and provides the environment for the trained readers to review the relevant MRE and FW information and approve or modify the ROIs. MREplus+ is intended to be used only with liver MRE and FW data. The inputs for MREplus+ are the MRE and FW images. In the case of MRE, this includes magnitude images (showing anatomy), wave images (showing wave propagation) with multiple time points across the wave cycle, and the elasticity and confidence images calculated by MRE's on-scanner MMDI algorithm or an offline MMDI packaged with MREplus+. In the case of FW, images include in-phase, out-of-phase, fat, water, fat fraction, and R2*. MREplus+ includes a DICOM receiver which can recognize and accept these images when sent from the MRI scanner or workstation using standard protocols. From these images, MREplus+ calculates automated ROIs. ROIs can be reviewed by an authorized trained reader for review, modification and approval. MREplus+ performs statistical calculations from the ROIs. MREplus+ outputs images, ROIs, and calculated results in an archive compatible report.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and the study proving the device meets them, based on the provided FDA 510(k) summary for the MREplus+ Software:

    Acceptance Criteria and Reported Device Performance

    The FDA 510(k) summary does not explicitly list numerical "acceptance criteria" but rather describes the testing performed to demonstrate substantial equivalence to a predicate device. The performance is described qualitatively and in terms of failure rates and modification rates.

    Acceptance Criteria Category (Derived from study descriptions)Specific Criteria (Implicit)Reported Device Performance
    Functional Equivalence (MRE)MREplus+ should accurately process MRE images, calculate preliminary automated ROIs, and allow for review, modification, and approval by a trained reader, achieving results comparable to the predicate device (GE Advantage Workstation).MREplus+ demonstrated **99% compared to the standard predicate methodology," though the exact metric for this 99% accuracy is not quantified (e.g., consistency of stiffness values within a certain delta).
    Functional Equivalence (Fat-Water)MREplus+ should accurately calculate Fat Fraction from Fat-Water images, allowing for review, modification, and approval by a trained reader, achieving results comparable to the predicate device.In all 92 Fat-Water cases, MREplus+ was able to accurately and reliably calculate Fat Fraction from Fat-Water images. This suggests complete success for this specific functionality.
    Usability/Workflow (Implicit)The software should function as an "assisted ROI drawing tool" where preliminary ROIs are provided, allowing for efficient review and optional modification by a trained reader, leading to the generation of an archive-compatible report. The workflow should be comparable to the predicate while potentially offering improvements in automation.The "MRE study involving 1347 patient cases... MREplus+ demonstrated 99% compared to the standard predicate methodology" serves as the primary performance metric, implicitly suggesting that if the AI's output closely matches the expert's, the human reader's task becomes one of verification rather than creation, thereby improving efficiency and consistency.
    1. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done:

      • The description of the MREplus+ as an "assisted ROI drawing tool" and the detail about "preliminary automated ROIs" followed by human review and optional modification suggest that the device is not intended for standalone (algorithm-only) use in a clinical setting for diagnosis.
      • The reported performance metrics, like "99% compared to the standard predicate methodology" likely refers to the accuracy of the MREplus+ suggested ROIs' derived values when compared to the predicate's values, rather than a standalone diagnostic performance metric.
    2. The Type of Ground Truth Used:

      • The ground truth for the test sets was established by "standard expert reviewer readings using the predicate device." This is a form of expert consensus or expert-derived ground truth, where the "standard" implies an accepted clinical practice for deriving measurements from MRE and Fat/Water images. It's not pathology or outcomes data.
    3. The Sample Size for the Training Set:

      • The document does not specify the sample size used for the training set for the MREplus+ software. It only provides details about the validation (test) sets.
    4. How the Ground Truth for the Training Set Was Established:

      • The document does not provide information on how the ground truth for the training set was established. Since it is an AI-assisted tool, it would presumably require a large, annotated dataset for training, but these details are not present in the provided summary.
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