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510(k) Data Aggregation

    K Number
    K231796
    Manufacturer
    Date Cleared
    2023-07-19

    (29 days)

    Product Code
    Regulation Number
    892.1750
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Grreen X 12 (Model: PHT-75CHS)

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

    Green X 12 (Model : PHT-75CHS) is intended to produce panoramic, cephalometric or 3D digital x-ray images. It provides diagnostic details of the dento-maxillofacial, ENT, sinus and pediatric patients. The system also utilizes carpal images for orthodontic treatment The device is to be operated by healthcare professionals.

    Device Description

    Green X 12 (Model : PHT-75CHS) is an advanced 4-in-1 digital X-ray imaging system that incorporates PANO, CEPH(optional), CBCT and MODEL Scan imaging capabilities into a single system. Green X 12 (Model : PHT-75CHS), a digital radiographic imaging system, acquires and processes multi-FOV diagnostic images for dentists. Designed explicitly for dental radiography. Green X 12 (Model : PHT-75CHS) is a complete digital X-ray system equipped with imaging viewers, an X-ray generator and a dedicated SSXI detector.

    The digital CBCT system is based on a CMOS digital X-ray detector. The CMOS CT detector is used to capture 3D radiographic images of the head, neck, oral surgery, implant and orthodontic treatment.

    Green X 12 (Model : PHT-75CHS) can also acquire 2D diagnostic image data in conventional PANO and CEPH modes.

    The materials, safety characteristics, X-ray source, indications for use and image reconstruction/MAR(Metal Artifact Reduction) algorithm of the subject device are same to the predicate device (PHT-75CHS (K201627)). The difference from the predicate device is that the maximum FOV provided to the user is different by equipping the new CBCT/PANO detector. Also, New software functions (Auto Pano, Smart Focus, Scout) have been added.

    AI/ML Overview

    The provided document details the 510(k) submission for the "Green X 12 (Model: PHT-75CHS)" dental X-ray imaging system. The submission aims to demonstrate substantial equivalence to a predicate device, the "Green X (Model: PHT-75CHS)" (K201627), and references another device, "Green Smart (Model: PHT-35LHS)" (K162660).

    The primary changes in the subject device compared to the predicate device are:

    1. New detector: Equipped with the Xmaru1404CF-PLUS detector (cleared with K162660).
    2. New software functions: Auto Pano, Smart Focus, and Scout.

    The document describes non-clinical performance evaluations rather than clinical studies with human readers.

    Here's the breakdown of the information based on your request:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly provide a table of acceptance criteria with specific numerical thresholds and corresponding reported performance values for each criterion in an acceptance study. Instead, it states that the device's performance was compared to the predicate device and relevant standards.

    However, based on the text, we can infer some criteria and the general findings:

    Acceptance Criterion (Inferred)Reported Device Performance
    General Image Quality (CT)Measured Contrast, Noise, CNR (Contrast-to-Noise Ratio), and MTF (Modulation Transfer Function) with FDK (back projection) and CS (iterative) reconstruction algorithms. Results demonstrated equivalent performance to the predicate device.
    Dosimetric Performance (DAP)In PANO mode, DAP (Dose Area Product) measurements were the same as the predicate device under identical FDD, exposure area, exposure time, tube voltage, and tube current.
    In CEPH mode, DAP measurements were the same as the predicate device under identical FDD, detector specifications, and exposure conditions.
    In CBCT mode (at common FOVs 80x80 / 80x50 / Endo 40x40 mm), the DAP of the subject device was lower than the predicate device.
    Clinical Image QualityEvaluation Report demonstrated that the general image quality of the subject device is equivalent to the predicate device in PANO/CBCT mode.
    Software V&VSoftware verification and validation were conducted according to FDA guidance. Considered "moderate" level of concern.
    CybersecurityApplied in compliance with FDA guidance.
    Safety, EMC, PerformanceElectrical, mechanical, environmental safety, and performance testing conducted per standards (IEC 60601-1, IEC 60601-1-3, IEC 60601-2-63, IEC 60601-1-2). All test results were satisfactory.
    DICOM ConformanceConforms to NEMA PS 3.1-3.18.
    Added Software Functions- Auto Pano: Already cleared in reference device (K162660).
    • Smart Focus: FOV 40x40 mm images were clinically evaluated by a US licensed dentist.
    • Image Quality (new software): Performed in compliance with IEC 61223-3-4 and IEC 61223-3-5. Both standard requirements were satisfied. |

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

    The document describes non-clinical performance and image quality evaluations rather than a test set of patient cases.

    • Sample Size for Test Set: Not applicable in the context of human patient data. The "test set" was described as physical measurements on the device itself and phantoms. No specific number of cases or images are mentioned for the "clinical evaluation" of Smart Focus or the image quality assessment of new functions beyond complying with IEC standards.
    • Data Provenance: Not applicable in terms of country of origin or retrospective/prospective for patient data. The tests were laboratory-based and non-clinical. The "clinical evaluation" for Smart Focus was conducted by a "US licensed dentist," implying evaluation of generated images rather than a broad clinical trial.

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

    • Number of Experts: For the "Smart Focus" mode, "a US licensed dentist" performed the clinical evaluation. This indicates at least one expert. For other image quality evaluations, the primary assessment relies on compliance with IEC standards and comparison to the predicate device, which would involve technical experts in radiology and medical imaging rather than medical specialists establishing "ground truth" on patient cases.
    • Qualifications of Experts: For Smart Focus, "a US licensed dentist" is specified. No specific years of experience are listed. For other evaluations, the experts are implied to be qualified in medical device testing, radiology physics, and engineering.

    4. Adjudication Method for the Test Set

    Not applicable. The evaluations described are primarily non-clinical measurements and comparisons against a predicate device or standards, rather than a diagnostic performance study requiring adjudication of expert interpretations of patient cases. The "clinical evaluation" of Smart Focus involved a single "US licensed dentist," suggesting no adjudication process was needed for this part.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, an MRMC comparative effectiveness study was not done. The submission focuses on demonstrating substantial equivalence through non-clinical performance testing and comparison to a predicate device, not on assessing human reader performance with or without AI assistance.

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

    The document primarily describes an imaging system, not an independent AI algorithm. However, the evaluation of "general image quality" (Contrast, Noise, CNR, MTF) for the CT reconstruction algorithms (FDK and CS) can be considered a standalone performance assessment of the image generation and processing aspects of the device, separate from human interpretation. The "new software functions" (Auto Pano, Smart Focus, Scout) are features of the device, and their performance was evaluated for image quality and clinical utility, effectively in a "standalone" manner in terms of the algorithm producing the image/feature.

    7. The Type of Ground Truth Used

    • For the non-clinical image quality metrics (Contrast, Noise, CNR, MTF), the "ground truth" is based on physical measurements using phantoms and established metrology for X-ray imaging systems (e.g., as per IEC standards).
    • For the clinical evaluation of the Smart Focus mode, the "ground truth" is implied to be the expert opinion/assessment of a US licensed dentist regarding the quality and diagnostic utility of the 40x40 mm images.
    • For the new software functions' image quality evaluation, adherence to IEC 61223-3-4 and IEC 61223-3-5 standards serves as the ground truth/benchmark.

    8. The Sample Size for the Training Set

    Not applicable. This document describes the 510(k) submission for a medical imaging device (CT X-ray system) and its software functions, not a machine learning or AI algorithm that requires a separate training set for model development. The "Auto Pano" function, while a software feature, is not described as an AI algorithm that learns from data; it reconstructs 3D CBCT data into 2D panoramic images, a known image processing technique.

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

    Not applicable, as no training set for a machine learning model is mentioned in the document.

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