Search Filters

Search Results

Found 2 results

510(k) Data Aggregation

    K Number
    K152757
    Date Cleared
    2015-11-13

    (50 days)

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

    SIGN Hip Construct (SHC)

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

    Indications for the SIGN Hip Construct (SHC) include all peritrochanteric, reverse oblique, subtrochanteric fractures and osteotomies in the proximal femur, with proper soft tissue management.

    Device Description

    The SHC is an internal fixation device consisting of multiple components; Standard Hip Nail, Fin Hip Nail (Intramedullary Nails), Bone Plates, Interlocking Screws, Compression Screws, Bone Screws, and a set of Surgical Instruments. Each implant component is made from Stainless Steel, per requirements in ASTM F138 or F139. All implants are single use and provided nonsterile.

    AI/ML Overview

    This document is an FDA 510(k) Premarket Notification for the SIGN Hip Construct (SHC). It focuses on establishing substantial equivalence to a predicate device rather than presenting a detailed study proving the device meets clinical acceptance criteria. Therefore, much of the requested information regarding clinical studies, sample sizes, expert involvement, and ground truth generation is not available in this document.

    Here's a breakdown of the available and unavailable information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly state quantitative acceptance criteria for clinical performance that would be found in a clinical study. Instead, it relies on bench testing to demonstrate equivalent mechanical performance to a previously cleared predicate device.

    Acceptance Criteria (typically for clinical performance)Reported Device Performance (based on non-clinical testing)
    Not Applicable (Clinical performance criteria not defined in this document)Cyclic fatigue testing simulating walking gait was performed.
    Not Applicable (Clinical performance criteria not defined in this document)Results "did not raise any issues on the safety or effectiveness of the device" compared to predicates.
    Not Applicable (Clinical performance criteria not defined in this document)Device demonstrated "equivalent mechanical performance, based on intended use" to predicate devices.

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

    • Sample size for test set: Not applicable and not mentioned. This document describes non-clinical bench testing, not a clinical trial with a "test set" of patient data.
    • Data provenance: Not applicable. The "data" refers to results from mechanical bench testing, not patient data.

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

    Not applicable. Ground truth for clinical cases is not established as this document describes non-clinical bench testing.

    4. Adjudication method for the test set

    Not applicable. There is no clinical test set requiring adjudication.

    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 is a medical device (intramedullary fixation rod), not an AI diagnostic tool.

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

    Not applicable. This is a medical device, not an algorithm.

    7. The type of ground truth used

    Not applicable. The "ground truth" here is the physical properties and mechanical performance of the device as measured in controlled laboratory settings (bench testing), compared against established standards and predicate device performance.

    8. The sample size for the training set

    Not applicable. This document does not describe the development of a machine learning model or an algorithm that requires a training set.

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

    Not applicable. As above, there is no training set for an algorithm.


    Summary of what the document does provide regarding device performance:

    The document focuses on demonstrating substantial equivalence for the SIGN Hip Construct (SHC) to its predicate devices, primarily K083582 (SIGN Hip Construct (SHC)), K022632 (SIGN IM Nail), and K021932 (Synthes 6.5mm Cannulated Screw).

    The study that proves the device meets the acceptance criteria (of substantial equivalence) is non-clinical performance data (bench testing).

    • Type of Study: Cyclic fatigue testing simulating walking gait. These tests were explicitly stated to be duplicates of tests performed for the primary predicate device.
    • Purpose: To validate that the device can withstand patient use until fracture consolidation occurs and to ensure safety and effectiveness given the expanded indications (reverse oblique fractures and osteotomies) and additional lengths compared to the predicate SHC.
    • Results: "The results did not raise any issues on the safety or effectiveness of the device." The conclusion states that the testing data indicates the proposed device is "safe and effective, and performs as well or better than the predicates," supporting the substantial equivalence claim.
    • Grounds for Acceptance: Substantial equivalence is established based on the similar design, performance, functions, intended use, and materials to the predicate devices, substantiated by the non-clinical bench testing results.
    Ask a Question

    Ask a specific question about this device

    K Number
    K083582
    Date Cleared
    2009-08-26

    (265 days)

    Product Code
    Regulation Number
    888.3030
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    SIGN HIP CONSTRUCT (SHC), MODEL: 701

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

    Indications for the SIGN Hip Construct (SHC) include all peritrochanteric fractures of the hip with proper soft tissue management. This does not include femoral neck fractures and may include subtrochanteric fractures.

    Device Description

    The SIGN Hip Construct (SHC) is composed of a Fin Nail Flat (Intramedullary Nail, a Rod Plate, a Rod Connector, an Interlocking Screw, two Compression Screws, a Unicortical Screw and a set of surgical instruments. Each implant component is made from stainless steel, per requirements in ASTM F138.

    AI/ML Overview

    The provided document is a 510(k) summary for the SIGN Hip Construct (SHC). It describes a medical device, specifically a metallic bone fixation appliance, and its submission for regulatory clearance.

    This document describes mechanical testing for the device, not a study involving human subjects or AI. Therefore, most of the requested information (related to AI, human readers, experts, ground truth methodologies, etc.) is not applicable.

    Here's an analysis of the available information:

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

    Acceptance CriteriaReported Device Performance
    Sufficient strength for static loading modesDemonstrated sufficient strength
    Sufficient strength for dynamic compressive loading modesDemonstrated sufficient strength
    Sufficient strength for torsional loading modesDemonstrated sufficient strength
    Resistance to subsidenceDemonstrated resistance to subsidence
    Resistance to expulsionDemonstrated resistance to expulsion

    The document states: "Mechanical testing was performed on the SHC implant and the results demonstrated sufficient strength for static and dynamic compressive and torsional loading modes and resistance to subsidence and expulsion. The results did not raise any issues on the safety or effectiveness of the device."

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

    The document does not specify the sample size used for the mechanical testing. It also does not provide details on "data provenance" as this typically refers to patient data, which is not relevant for this type of mechanical engineering study.

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

    Not applicable. This was a mechanical engineering study, not a study requiring expert consensus for ground truth on clinical data.

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

    Not applicable. This was a mechanical engineering study, not a study requiring adjudication of expert interpretations.

    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, an MRMC study was not done. The device is a physical orthopedic implant, not an AI-assisted diagnostic tool.

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

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

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

    The "ground truth" for this mechanical study would be established engineering standards and specifications for orthopedic implants (e.g., ASTM standards for material strength, fatigue testing protocols). The reported results indicate that the device met these intrinsic engineering performance metrics.

    8. The sample size for the training set

    Not applicable. This was a mechanical engineering study; there is no "training set" in the context of machine learning.

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

    Not applicable.

    Ask a Question

    Ask a specific question about this device

    Page 1 of 1