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510(k) Data Aggregation

    K Number
    K142909
    Manufacturer
    Date Cleared
    2015-04-24

    (200 days)

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

    Flexible 19G EBUS Needle

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

    The Flexible 19G EBUS Needle has been designed to be used with ultrasound endoscopes for ultrasound guided fine needle aspiration (FNA) of submucosal and extramural lesions of the tracheobronchial tree. Do not use this device for any purpose other than its intended use.

    Device Description

    The Flexible 19G EBUS Needle is intended for use with compatible ultrasound endoscopes for Transbronchial Needle Aspiration (TBNA) of submucosal and extramural lesions of the tracheobronchial tree. The device is supplied sterile and intended for single patient use.

    The device consists of a handle, sheath, needle, and stylet. The sheath and needle are attached to the handle, and the removable stylet is located within the needle.

    To perform biopsies, the flexible catheter portion is first inserted into a bronchoscope's working channel (2.2mm) then pushed forward until fully inserted. The handle is then affixed to the channel port of the endoscope using an adapter biopsy valve. The handle facilitates advancement of the needle during puncture of the targeted biopsy site. The sample is obtained by penetrating the lesion with the needle while applying suction at the proximal of the handle. The device is available with a needle size of 19 qauqe (19G).

    AI/ML Overview

    Here's an analysis of the acceptance criteria and study information based on the provided FDA 510(k) document for the Flexible 19G EBUS Needle:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document doesn't explicitly state quantitative acceptance criteria with specific numerical thresholds for each test. Instead, it indicates that "All testing met the predetermined acceptance criteria as outlined in the test protocols." and reports "Pass" for each test. The acceptance criteria were either identical to the predicate or established to verify design differences.

    Acceptance Criteria (General Description)Reported Device Performance
    Testing to Specifications Identical to Predicate
    Insertion and Withdrawal ForcePass
    Stylet Insertion and Withdrawal ForcePass
    Activation ForcePass
    Plastic Deformation AnglePass
    DurabilityPass
    Handle DurabilityPass
    Testing to Specifications Developed for 19G Needle
    Bronchoscope AngulationPass
    Penetration Force¹Pass
    Transmission ForcePass
    Vacuum Leak TestPass
    Sheath to Handle Joint StrengthPass
    Echogenicity²Pass
    Biopsy Sample Size¹, ²Pass
    Simulated use - ex vivo (bovine lung) bench testingPass
    Additional Testing
    Sterilization ValidationPass
    Packaging and Shelf LifePass
    Biocompatibility (Cytotoxicity, Sensitization, Irritation, Hemocompatibility, Systemic Toxicity)Pass

    ¹ For direct comparison to a commercially available device of the same size, testing was also conducted on the Boston Scientific 19G Scientific eXcelon Transbronchial Aspiration Needle.
    ² Testing also conducted on the predicate 21G Olympus Aspiration Needle.

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

    The document does not specify the exact sample sizes (number of devices tested) for each individual test conducted. It generally refers to "bench testing" and "ex vivo testing."

    Regarding data provenance:

    • Country of Origin: Not specified. It's likely the testing was conducted by the manufacturer, Spiration, Inc., based in Redmond, WA, USA, or a contract lab.
    • Retrospective or Prospective: The testing described is prospective as it involves the evaluation of the new device's performance against predefined criteria.

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

    This type of information is not applicable to this specific submission. The device is a medical instrument (FNA needle), not a diagnostic algorithm that requires expert-established ground truth from a dataset. The performance evaluation focuses on physical and functional characteristics, not diagnostic accuracy based on expert interpretation.

    4. Adjudication Method for the Test Set

    This is not applicable for the same reasons as point 3. No expert adjudication method (like 2+1, 3+1) was required or described for assessing the physical and functional performance of a medical instrument.

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

    No, an MRMC comparative effectiveness study was not done. This type of study is relevant for diagnostic imaging or AI algorithms where human interpretation plays a role and comparison of performance with and without AI assistance is needed. This document focuses on the physical and functional performance of a medical device.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    No, a standalone algorithm performance study was not done. This device is a physical instrument, not an algorithm.

    7. Type of Ground Truth Used

    The "ground truth" in this context refers to the engineering and material specifications and established performance benchmarks for aspiration needles, as well as the behavior of the predicate device and a comparable 19G device. For example:

    • Physical measurements and engineering tolerances: For forces, angles, dimensions.
    • Standardized test methods: For durability, vacuum integrity, and biocompatibility.
    • Observed functional performance: In simulated use (ex vivo bovine lung) and comparison to the predicate and a similar 19G device for aspects like biopsy sample size.
    • Biocompatibility standards: ISO 10993-1.

    8. Sample Size for the Training Set

    Not applicable. This device is a physical instrument and does not involve AI or machine learning models that require a training set.

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

    Not applicable. As there is no training set, there is no ground truth to establish for it.

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