Search Filters

Search Results

Found 1 results

510(k) Data Aggregation

    K Number
    K151062
    Date Cleared
    2015-12-17

    (241 days)

    Product Code
    Regulation Number
    888.3020
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    WASTON Metallic Intramedullary Nail System

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use
    • Simple, compound first- and second-degree tibial shaft fractures
    • Pseudarthrosis and delayed union
    Device Description

    The WASTON Metallic Intramedullary Nail System is a temporary fixation intramedullary nail designed for fracture fixation and stabilization of the tibia. The system consists of intramedullary nail, locking screw, end cap and instruments.

    The intramedullary nail is available in a variety of lengths to meet assorted anatomical needs. Each of the nails is secured by a series of screws that pass through holes manufactured into the proximal and distal sections.

    All implants of Metallic Intramedullary Nail System are manufactured from Ti-6Al-4V alloy that meets the requirements of ASTM F-136.

    The proposed devices are provided un-sterilized, but shall be sterilized via autoclave method to achieve Sterility Assurance Level of 10-6 by hospital prior to use.

    AI/ML Overview

    This document describes a 510(k) premarket notification for the "WASTON Metallic Intramedullary Nail System." It is a medical device submission, and therefore, the acceptance criteria and study data provided are related to the substantial equivalence of the proposed device to a predicate device, rather than a standalone clinical AI or diagnostic performance study.

    Here's an analysis of the provided information:

    1. Table of Acceptance Criteria and Reported Device Performance

    For medical devices seeking 510(k) clearance, the "acceptance criteria" isn't typically phrased as a specific numerical performance target, but rather as demonstrating substantial equivalence (SE) to a legally marketed predicate device. This is achieved by showing that the new device has the same intended use and technological characteristics as the predicate, or if there are differences, that those differences do not raise new questions of safety and effectiveness.

    The document presents a comparison between the proposed device and the predicate device (K132078) to demonstrate this substantial equivalence.

    Acceptance Criteria (Demonstrates Substantial Equivalence to Predicate)Reported Device Performance (Comparison to Predicate)
    Product Code: HSBSame
    Regulation Number: 21 CFR 888.3020Same
    Intended Use: Simple, compound first- and second-degree tibial shaft fractures; Pseudarthrosis and delayed unionSame
    Configuration: Nail, Screw and End CapSame
    Sterile: Supplied non-sterile, sterilized by hospital to achieve SAL 1x10-6Same
    Single Use: YesSame
    Material: Titanium Alloy (TI -6A1-4 V ELI)Same
    Physical Specification (Nail): Proximal/Distal diameter: φ10/φ8 mm, φ10/φ9 mm, φ10/φ10 mm; Length: 240~340 mmSame
    Physical Specification (Screw): Diameter: φ6mm; Length: 20~95 mmSimilar (Implies slight variations within acceptable limits, not explicitly stated as "same")
    Mechanical Specification (Nail): Static bending, Dynamic bending and Static Torsional performance tested per ASTM F1264Same (Implies meeting the same test standards and performance levels)
    Mechanical Specification (Screw): Dynamic bending performance tested per ASTM F1264; Driving torque and pull-out performance tested per ASTM F543Same (Implies meeting the same test standards and performance levels)
    Non-clinical tests verify design specifications and SE to predicate.Complies with ASTM F1264-03, ASTM F543-13, ASTM F136-13, ASTM F138-13, ISO 17665-1:2006 (See Section 6 of the 510(k) Summary)

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

    This document explicitly states: "No clinical study is included in this submission."

    Therefore, there is no "test set" in the context of clinical or diagnostic performance data. The "tests" mentioned are non-clinical (mechanical, material, sterilization) and are typically performed on samples of the device components (e.g., a certain number of nails, screws). The sample sizes for these non-clinical tests are not detailed in this summary. The data provenance would be from the manufacturing and testing facilities of Changzhou Waston Medical Appliance Co., Ltd. in China.

    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)

    Not applicable. As stated, no clinical study or ground truth establishment based on expert review was performed or included in this 510(k) submission.

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

    Not applicable. No clinical test set requiring adjudication was used.

    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

    Not applicable. This device is a metallic intramedullary nail system for fracture fixation, not an AI or diagnostic imaging device involving human readers.

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

    Not applicable. This device is a physical implant, not an algorithm.

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

    Not applicable for clinical ground truth. For non-clinical tests, the "ground truth" would be established by reference to international consensus standards (e.g., ASTM, ISO) for material properties and mechanical performance.

    8. The sample size for the training set

    Not applicable. This is not an AI or machine learning device requiring a training set.

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

    Not applicable. This is not an AI or machine learning device.

    Ask a Question

    Ask a specific question about this device

    Page 1 of 1