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510(k) Data Aggregation

    K Number
    K201599
    Date Cleared
    2020-07-02

    (20 days)

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

    2MP Color/Monochrome LCD Monitors C22S+, C22SP+/G22S+, G22SP+, G23S+, G23SP+

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

    The 2MP Color/Monochrome LCD Monitors C22S+, C22SP+, G23S+, G23S+, G23SP+ are intended to be used in displaying and viewing digital images for review, analysis and diagnosis by trained medical practitioners. The monitors do not support the display of mammography images for diagnosis.

    Device Description

    C22S+, C22SP+/G22S+, G22SP+, G23S+, G23SP+ are 21.3-inch TFT LCD color/ grayscale monitors. They are specifically designed to provide the high definition image outputs for general Radiography. The products have been strictly calibrated so they meet DICOM Part 3.14 and other standards. They use the latest generation of LED backlight panel, supporting resolution 1200 x 1600. The built-in brightness stabilization control circuits make sure the brightness of these monitors is stable in their life and the calibration is continuous, so the products meet the demand of high precision medical imaging. For C22SP+, G23SP+ surface protection panels with anti-reflection coating, there are characteristics such as anti-reflection, easy cleaning and anti-scratch screen.

    AI/ML Overview

    Here's a summary of the acceptance criteria and the study that proves the device meets them, based on the provided text.

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria for the devices (2MP Color/Monochrome LCD Monitors C22S+, C22SP+/G22S+, G22SP+, G23S+, G23SP+) are primarily established through performance testing against the AAPM Task Group 18 (TG18) guideline and comparison with predicate devices.

    Acceptance Criteria (Bench Tests per TG18 guideline and comparison to predicate)Reported Device PerformanceComments
    Conformance to DICOM GSDFVerifiedThe test results showed conformance.
    Luminance non-uniformity characteristicsMeasured and found acceptableThe test results showed proper performance.
    Chromaticity non-uniformity characteristicsMeasured and found acceptableThe test results showed proper performance.
    Chromaticity at the center of the display screen at 5%, 50%, and 95% of maximum luminanceMeasured and found acceptableThe test results showed proper performance.
    Presence or absence of miscellaneous artifacts on the display screenVisually checked and found acceptableThe test results showed proper performance.
    Spatial resolution (MTF)Measured and found acceptableThe test results showed proper performance.
    Maximum number allowed for each type of pixel defects/faultsMeasured and found acceptableThe test results showed proper performance.
    Equivalence to predicate devices in display characteristicsDemonstratedThe devices' display characteristics were found equivalent to predicate devices, with differences not affecting observer performance.

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

    The provided text does not specify the exact sample size for the test set. It mentions "bench tests were performed on C22S+, C22SP+, G22SP+, G22SP+, G23SP+" for multiple devices (six models in total). It implies one or more units of each model were tested.

    The data provenance is not explicitly stated. However, since the submitter is Shenzhen Beacon Display Technology Co., Ltd. in China, it is highly likely that the testing was conducted in China or under their direct supervision. The study appears to be retrospective as it's a premarket notification for devices seeking substantial equivalence to already cleared predicate devices.

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

    This information is not provided in the document. The acceptance criteria relate to technical performance specifications of the monitors themselves (e.g., luminance, resolution), not diagnostic accuracy based on expert interpretation of medical images displayed on them. Therefore, there's no mention of experts establishing a ground truth for diagnostic accuracy in this context.

    4. Adjudication Method for the Test Set

    This information is not applicable as the described tests are technical performance evaluations of the monitors, not diagnostic studies requiring expert adjudication of image interpretations.

    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

    No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not done. The devices are medical monitors, not AI algorithms, so this type of study is not relevant to their regulatory clearance in this context.

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

    No, a standalone algorithm performance study was not done. The devices are medical monitors, which display images for human interpretation, they are not algorithms.

    7. The Type of Ground Truth Used

    The "ground truth" used for this study is based on technical specifications and measurable performance according to established industry standards, specifically the AAPM Task Group 18 (TG18) guideline for assessing display performance for medical imaging systems. This involves quantifiable measurements of display characteristics rather than clinical "ground truth" like pathology or outcomes data.

    8. The Sample Size for the Training Set

    This information is not applicable. As these are medical display monitors, there is no "training set" in the context of machine learning or AI algorithms. The monitors are hardware devices.

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

    This information is not applicable, as there is no training set for these devices.

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