Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K151280
    Date Cleared
    2015-09-30

    (139 days)

    Product Code
    Regulation Number
    892.1650
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The DigiArc 100AU/ DigiArc 100AU+ is a mobile digital X-ray G-Arm diagnostic system, which is intended to generate X-ray fluoroscopic image of a patient. The application includes: real-time positioning and monitoring operations in trauma surgery, orthopedics, spine surgery, and chest surgery, it is not intended to be used in interventional procedures. The DigiArc 100AU/ DigiArc 100AU+ permits a qualified doctor or technologist to take a range of diagnostic exposures of spinal column, chest, abdomen, extremities, and other body parts on the patients at the age of at least eighteen.

    Device Description

    The DigiArc 100AU/ DigiArc 100AU+ is a mobile digital X-ray G-Arm diagnostic system, which is intended to generate X-ray fluoroscopic image of a patient. The application includes: real-time positioning and monitoring operations in trauma surgery, orthopedics, spine surgery, and chest surgery, it is not intended to be used in interventional procedures. There are two sets of X-ray tube assemblies and Image Intensifiers which are perpendicularly distributed on the G-Arm, acting as two sets of vertical X-ray source and receptor systems and providing fluoroscopy image of the patient. The two sets of X-ray tube assemblies and Image Intensifiers can operate simultaneously and separately.

    AI/ML Overview

    The provided FDA 510(k) summary describes the "MultiScan G-Arm System" (DigiArc 100AU & DigiArc 100AU+) by Beijing East Whale Imaging Technology Co., Ltd. The document primarily focuses on demonstrating substantial equivalence to predicate devices through non-clinical performance and safety testing against recognized standards. It does not detail specific acceptance criteria for diagnostic accuracy or device performance in the context of clinical image interpretation or AI-assisted diagnoses, nor does it present a study proving the device meets such criteria. The device is a standard X-ray fluoroscopic imaging system, not an AI-powered diagnostic tool.

    Therefore, the requested information regarding acceptance criteria for diagnostic performance, sample sizes for test/training sets, expert ground truth, MRMC studies, or standalone algorithm performance is not present in this document. The provided text exclusively covers the device's technical specifications, safety, and compliance with general medical device standards.

    However, I can extract the information that is present concerning the device's compliance with safety and performance standards, which are the "acceptance criteria" discussed in this 510(k) submission.

    1. A table of acceptance criteria and the reported device performance

    The "acceptance criteria" in this context are compliance with various recognized safety and performance standards for medical electrical equipment and X-ray systems. The reported device performance for these criteria is consistently "Pass."

    Acceptance Criteria (Standard)Reported Device Performance
    AAMI / ANSI ES60601-1:2005/(R)2012 And A1:2012, C1:2009/(R)2012 And A2:2010/(R)2012 (General Requirements for Basic Safety and Essential Performance of Medical Electrical Equipment)Pass
    - Power inputPass
    - Humidity preconditioning treatmentPass
    - Determination of applied parts and accessible partsPass
    - Legibility of markingsPass
    - Durability of markingsPass
    - ME equipment for connection to a power source by a plugPass
    - Internal capacitive circuitsPass
    - Protective earth connectionPass
    - Leakage currentsPass
    - Dielectric strengthPass
    - Ball pressure testPass
    - Measurement of creepage distance and air clearancePass
    - Cord anchoragePass
    - GapsPass
    - Instability-overbalance in transport positionPass
    - Instability-overbalance excluding transport positionPass
    - Instability-overbalance from horizontal and vertical forcesPass
    - Audible acoustic energyPass
    - Maximum temperature during normal usePass
    - SpillagePass
    - Ingress of water or particulate matterPass
    - CleaningPass
    - Interruption of the power supply/supply mains to ME equipmentPass
    - Single fault conditionsPass
    - Mechanical strength testPass
    - Transformer short circuitPass
    - Transformer overload testPass
    - ME system-leakage measurementsPass
    - Half-value layerPass
    - Focal spot to image receptor distancePass
    - Leakage radiation in the loading statePass
    - Leakage radiation when not in the loading statePass
    IEC 60601-1-3 Edition 2.0 2008 (Radiation protection in diagnostic X-ray equipment)Pass
    IEC 60601-2-54 Edition 1.0 2009-06 (Specific requirements for the basic safety and essential performance of X-ray equipment for radiography and radioscopy)Pass
    - Test for dosimetric informationPass
    - Accuracy of X-ray tube voltagePass
    - Accuracy of X-ray tube currentPass
    - Determining the attenuation of residual radiationPass
    IEC 60601-1-2 Edition 3: 2007-03 (Electromagnetic compatibility - Requirements and tests)Pass
    - Harmonics on AC mainsPass
    - Voltage fluctuations on AC mainsPass
    - Mains terminal continuous disturbance voltagePass
    - Radiated emissionPass
    - Electrostatic dischargePass
    - RF electromagnetic field immunity testPass
    - Fast transients on AC power line, signal line and interconnecting linePass
    - Injected current into AC power line, signal line and interconnecting linePass
    - Surges to AC power port, signal line and interconnecting linePass
    - Voltage dips and interruptions to AC power portPass
    - Variations of power frequencyPass
    Digital Imaging Communications in Medicine (DICOM) provisionsMeets

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    This information is not provided in the document. The testing described is non-clinical performance and safety testing for the device itself, not a study involving patient data or clinical images for diagnostic accuracy assessment.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    This information is not provided in the document. This type of information would be relevant for studies evaluating diagnostic performance, which is not the subject of this 510(k) submission.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    This information is not provided in the document. Adjudication methods are used in clinical studies to establish ground truth for diagnostic decisions, which is not applicable to the non-clinical testing presented here.

    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

    An MRMC comparative effectiveness study was not done. This device is an X-ray imaging system, not an AI-assisted diagnostic tool.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    A standalone performance study of an algorithm was not done. This device is an imaging system, not an algorithm, and the submission does not describe any AI component.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    The concept of "ground truth" as it relates to diagnostic accuracy is not applicable to the non-clinical performance and safety testing described. The "ground truth" for these tests are the objective pass/fail criteria defined by the respective international and national standards (e.g., specific voltage/current ranges, radiation leakage limits, insulation resistance, etc.).

    8. The sample size for the training set

    This information is not provided and is not applicable, as this device itself is not an AI algorithm requiring a training set.

    9. How the ground truth for the training set was established

    This information is not provided and is not applicable, as this device itself is not an AI algorithm.

    Ask a Question

    Ask a specific question about this device

    Page 1 of 1