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510(k) Data Aggregation

    K Number
    K183516
    Date Cleared
    2019-09-06

    (262 days)

    Product Code
    Regulation Number
    874.4680
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    Hitachi Arietta70 Diagnostic Ultrasound System (K134016), Hitachi Noblus™ Diagnostic Ultrasound Scanner (K142368

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

    The PENTAX Medical Ultrasound Video Bronchoscope EB19-J10U is intended to provide optical visualization of, ultrasonic visualization of, and therapeutic access to, the Pulmonary Track including but not restricted to organs, tissues, and subsystem: Nasal Passage, Pharynx, Larynx, Trachea, Bronchial Tree (including access beyond the stem), and underlying areas. The instrument is introduced per orally when indications consistent with the requirement for procedure are observed in adult and pediatric patient populations.

    Intended use: Diagnostic ultrasound imaging or fluid flow analysis if the human body as follows.
    Clinical Application: Endoscopy
    Mode of Operation: B, M, PWD, Color Doppler, Amplitude Doppler

    Device Description

    The PENTAX Medical Ultrasound Video Bronchoscope EB19-J10U connects with a video processor and an ultrasound scanner, both of which are software controlled devices.

    The endoscope has a flexible insertion tube, a control body, PVE connector, and scanning unit connector. The PVE connector attaches to the video processor and has connections for illumination and video signals. The ultrasound umbilical connector attaches to the ultrasound scanner unit.

    The control body includes remote buttons for functions assigned from the video processor. It also includes controls for up/down angulation or neutral position, suction control, and ports for manual balloon insufflation/evacuation and accessory inlet.

    The endoscope contains light carrying bundles to illuminate the body cavity, a change couple device to collect endoscopic image data, and a convex array ultrasound transducer to collect ultrasonic image data. The instrument contains a working channel through which biopsy devices, or other devices may be introduced. The video processor contains a lamp that provides white light focused at the endoscope PVE connector light guide prong. The endoscope light carrying bundles present the light to the body cavity and the CCD collects endoscopic image data. Image data and other screen display information are formatted and presented to the video outputs of the video processor for display.

    The ultrasound transducer delivers ultrasonic pulses, reflections of the pulses are received and the signals are passed to the ultrasound scanner for processing and display. The instrument is immersible (with the use of supplied cleaning accessories). EB19-J10U is connected to the ultrasound scanners Arietta 70 and Noblus via the scanning unit connector of the endoscope directly to the probe connector of the scanning unit. In order to connect to the Preirus scanning unit, junction box PUN-JBP1 is required to connect the scanning unit connector to the probe connector.

    The instrument is immersible (with the use of supplied cleaning accessories).

    AI/ML Overview

    The provided text is a 510(k) Summary for the PENTAX Medical Ultrasound Video Bronchoscope EB19-J10U. It details the device's technical specifications, intended use, and a summary of testing conducted to demonstrate substantial equivalence to predicate devices. However, it does not contain any information about a study proving that the device meets specific acceptance criteria based on performance metrics like sensitivity, specificity, accuracy, or reader performance with or without AI assistance.

    The document focuses on non-clinical testing to demonstrate that the device is equivalent to a legally marketed predicate device, especially regarding safety and effectiveness from a design and manufacturing perspective. It mentions "Performance Testing - Bench" for "System compatibility" and "Optical characteristics," but does not provide specific acceptance criteria or quantitative results for these tests.

    Therefore, I cannot fully answer your request for acceptance criteria and a study that proves the device meets them, as the provided text does not include the necessary information regarding a clinical performance study involving AI, human readers, or specific diagnostic performance metrics.

    Here's an breakdown of what can and cannot be answered based on the provided text:

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

    • Cannot be provided. The document lists various types of non-clinical testing (Sterilization, Reprocessing, Biocompatibility, Software, EMC + Electrical Safety, System Compatibility, Optical Characteristics), and states that "Testing results confirm the subject device is safe and effective as the predicate device, and performs as intended." However, it does not provide specific quantitative acceptance criteria or detailed numerical results for these tests. For example, it says "The subject device demonstrates equivalent or better optical characteristics than the predicate device," but gives no numerical value for either.

    2. Sample size used for the test set and the data provenance:

    • Cannot be provided definitively for a performance study. The document outlines non-clinical bench testing. These tests typically don't involve "samples" in the same way clinical studies do (e.g., patient data). The data provenance (country of origin, retrospective/prospective) is not applicable or mentioned for the types of tests described.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • Not applicable. This information is relevant for studies establishing diagnostic ground truth, often used for AI/clinical performance evaluations. The document describes engineering and safety testing, not clinical diagnostic performance.

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

    • Not applicable. Adjudication methods are used in clinical studies to resolve discrepancies in expert interpretations for ground truth establishment. This document doesn't describe such a study.

    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, such a study was not done according to this document. This device is a bronchoscope, which is a physical instrument for visualization and access, not an AI software intended to assist human readers in image interpretation. The document does not mention any AI component or any MRMC studies.

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

    • No, this is not an AI algorithm. This is a hardware device (bronchoscope) with associated software for its operation. Therefore, a standalone algorithm performance study is not applicable.

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

    • Not applicable in the context of diagnostic performance. The "ground truth" for the tests described relates to engineering specifications and safety standards (e.g., whether the device sterilizes correctly, whether electrical current is within safe limits, whether optical clarity meets design specs).

    8. The sample size for the training set:

    • Not applicable. There is no mention of a "training set" as this is not an AI device being trained.

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

    • Not applicable. (See point 8).

    In summary, the provided FDA 510(k) summary focuses on demonstrating the substantial equivalence of a medical device (a bronchoscope) through non-clinical testing of its physical, electrical, and reprocessing characteristics. It does not involve AI or diagnostic performance studies that would require the types of acceptance criteria and study details you requested for AI-driven devices.

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    K Number
    K162583
    Manufacturer
    Date Cleared
    2016-11-17

    (63 days)

    Product Code
    Regulation Number
    892.1550
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K142368

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

    ALOKA LISENDO 880 is intended for use by trained personnel (doctor, sonographer, etc.) for the diagnostic ultrasound evaluation of Fetal, Abdominal, Pediatric, Small Organ (Spec.), Intra-operative (Spec.), Neonatal Cephalic, Musculo-skel. (Convent./Superfic.), Peripheral vessel, Cardiac Adult, Cardiac Pediatric, Trans-esophageal (card), Adult Cephalic clinical applications.

    The Modes of Operation are B mode, PW mode (Pulsed Wave Doppler), CW mode (Continuous Wave Doppler), Color Doppler, Power Doppler (Color Flow Angiography), TDI (Tissue Doppler Imaging), 3D Imaging, 4D Imaging.

    Device Description

    An ultrasound diagnostic system with the following features:

    • Ultrasound transducer(s) to generate the transmitted ultrasound energy and detect the reflected echoes
    • Ultrasound transducer accessories (standard and optional) to maximize functional usage of transducer(s) in various modes of operation
    • A computer system - to control the transducer and analyze the signals resulting from the reflected echoes
    • A video monitor with optional image recorder to display the computed image or derived Doppler data
    AI/ML Overview

    The provided text is a 510(k) Pre-Market Notification for the ALOKA LISENDO 880 ultrasound system. It outlines the device's indications for use and compares it to a predicate device (ARIETTA 70, K134016) to establish substantial equivalence.

    Here's an analysis of the acceptance criteria and supporting studies as presented in the document:

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

    The document does not provide a table with specific, quantitative acceptance criteria (e.g., minimum sensitivity or specificity values, specific performance metrics) and corresponding reported performance metrics for the ALOKA LISENDO 880. Instead, it relies on a qualitative comparison to a predicate device.

    The "Comparison to predicate device" section (Page 20) implicitly defines the acceptance criterion as being "substantially equivalent" to the ARIETTA 70 (K134016) in terms of:

    • Indication for Use: The ALOKA LISENDO 880's indications for use are listed and shown to broadly align with those of the ARIETTA 70.
    • Modes of Operation: Both devices are stated to have the same core modes of operation (B mode, M mode, PW mode, CW mode, Color Doppler, Power Doppler, TDI, 3D Imaging, 4D Imaging, and combinations).
    • Probe Types: Both support Convex, Linear, Sector, and other probe types.
    • Applicable Software Features: A long list of software features (e.g., DICOM, Freehand 3D, Real-time Doppler Auto Trace, Spatial Compound) are listed as being present in both the subject and predicate devices with "YES" for both, implying functional equivalence.

    The "Conclusions" section (Page 21) summarizes these points, stating that the ALOKA LISENDO 880 is substantially equivalent in safety and effectiveness based on:

    • Same indications for diagnostic ultrasound imaging and fluid flow analysis.
    • Same gray scale and Doppler capabilities.
    • Same essential technology for imaging, Doppler functions, and signal processing.
    • Acoustic level below Track 3 FDA limits.
    • Manufactured in accordance with FDA 21 CFR 820 Quality System Regulations.
    • Designed and manufactured to the same electrical and physical safety standards.
    • Materials tested in accordance with ISO 10993-1.
    • Reusable probes with instructions for cleaning, disinfection, and sterilization.

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

    The document explicitly states under "2. Clinical testing:" that "None required." This indicates that no separate clinical test set was used to establish performance for the ALOKA LISENDO 880 for the purpose of this 510(k) submission. The FDA allows clearance of devices through the 510(k) pathway if they are shown to be substantially equivalent to a legally marketed predicate device, often without new clinical studies if the technological characteristics are similar.

    Therefore, there is no information on sample size, data provenance, or whether data was retrospective or prospective, as no new clinical testing was conducted.

    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)

    Since no clinical testing was performed for the subject device as part of this 510(k) submission, there is no mention of experts being used to establish a ground truth for a test set specifically for the ALOKA LISENDO 880. The substantial equivalence argument relies on the predicate device's established safety and effectiveness.

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

    As no clinical testing was conducted for the subject device to evaluate its performance against a ground truth, there is no information on adjudication methods for a test set.

    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

    The document does not mention any multi-reader multi-case (MRMC) comparative effectiveness study, nor does it refer to AI assistance. The ALOKA LISENDO 880 is described as a diagnostic ultrasound system, and the submission focuses on its equivalence to a predicate ultrasound system rather than advanced AI-driven interpretation or assisted diagnostics.

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

    This submission is for a diagnostic ultrasound system, not an algorithm. Therefore, "standalone" algorithm performance is not applicable or discussed. The device is intended for use by "trained personnel (doctor, sonographer, etc.)", indicating human-in-the-loop operation.

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

    No new ground truth data was generated or used for the ALOKA LISENDO 880's clearance as "no clinical testing" was required. The "ground truth" for the predicate device would have been established during its own clearance process, but that information is not detailed here.

    8. The sample size for the training set

    The document does not discuss any training sets, as it's not describing an AI/machine learning device. The clearance is based on the device's technical specifications and substantial equivalence to a predicate, not on a machine learning model's performance.

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

    As there is no mention of a training set or machine learning components, this information is not provided.

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