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510(k) Data Aggregation

    K Number
    K183684
    Date Cleared
    2019-08-23

    (238 days)

    Product Code
    Regulation Number
    888.3353
    Why did this record match?
    Device Name :

    Libertas – Taper Uncemented Femoral Stem

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

    The Libertas™ Hip Replacement System is intended for use in total hip arthroplasty. Total hip arthroplasty is intended to provide patient mobility and reduce pain by replacing the damaged hip joint articulation in patients where there is evidence of sufficient sound bone to fix and support the components.

    Total hip replacement is indicated for the following conditions:

    • · Non-inflammatory degenerative joint diseases including osteoarthritis, post traumatic arthritis and avascular necrosis.
    • · Rheumatoid arthritis.
    • · Congenital hip dysplasia.
    • · Acute traumatic fracture of the femoral head or neck.
    • · Certain cases of Ankylosis.
    • Dislocation of the hip.
    • · Correction of functional deformity.
    • · Revision of failed joint reconstruction or treatment.
    • · Treatment of nonunion, femoral neck and trochanteric fractures of the proximal femur.

    NOTE:

    • · The Modular Shell, Uncemented Stem and Taper uncemented stem are intended for press-fit, uncemented use only.
    • · The Cemented stem is intended for cemented use only.
    Device Description

    The Libertas™ - Taper uncemented femoral stem is fabricated from Ti6Al4V - ELI (Titanium-6Aluminum-4Vanadium Extra Low Interstitial) and it is intended to be used with Libertas Femoral heads, previously cleared under K180973. The proximal portion of stem is coated with commercially pure Titanium with plasma spray method. Libertas™ - Taper uncemented femoral stem is available in two designs (Standard i.e. full profile design and distally reduced design is available in different sizes with three neck angles (132° Standard, 132° Lateral, and 128° Standard).

    AI/ML Overview

    The provided text is a 510(k) summary for the Libertas™ - Taper Uncemented Femoral Stem, a medical device used in hip arthroplasty. This document focuses on demonstrating substantial equivalence to predicate devices through technical comparisons and non-clinical performance testing.

    It does not contain information about acceptance criteria or a study proving the device meets acceptance criteria in the context of an AI/ML medical device, which would typically involve clinical performance metrics like sensitivity, specificity, or reader studies. The document describes mechanical and material testing for an orthopedic implant.

    Therefore, I cannot provide the requested information about acceptance criteria and a study proving those criteria are met, as the provided text pertains to a different type of medical device (a mechanical implant) and a different regulatory pathway (510(k) for substantial equivalence based on physical and material properties, not AI/ML performance).

    To answer your prompt, imagine the prompt was for an AI/ML medical device submission. Here's how I would structure the answer if the provided text contained the relevant information for an AI/ML device:

    Hypothetical Answer (if the provided text were about an AI/ML medical device):

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Metric)Threshold/TargetReported Device PerformanceOutcome
    Standalone Performance
    Sensitivity for Condition X≥ 90%92.5%Met
    Specificity for Condition X≥ 85%88.2%Met
    AUC for Condition Y≥ 0.900.915Met
    Human-in-the-Loop Performance (Reader Study)
    Average Sensitivity (Reader + AI) vs. (Reader Only)Improvement ≥ 5%7.2% improvementMet
    False Positive Rate (Reader + AI) vs. (Reader Only)Reduction ≥ 10%12.1% reductionMet
    Inter-reader Agreement (Kappa) with AI assistanceIncrease of ≥ 0.1Increase of 0.15Met

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

    • Test Set Sample Size: [Number, e.g., 500 cases]
    • Data Provenance: [e.g., Retrospective cohort from hospitals in the USA and Europe]

    3. Number of Experts Used to Establish Ground Truth and Qualifications

    • Number of Experts: [e.g., 3]
    • Qualifications: [e.g., Board-certified radiologists with 10-15 years of experience specializing in [relevant specialty, e.g., musculoskeletal imaging]]

    4. Adjudication Method for the Test Set

    • Method: [e.g., 2+1 adjudication, where two experts independently labeled cases, and a third, senior expert resolved any disagreements. Or, consensus reading by all three experts.]

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done, and its effect size.

    • Was an MRMC study done? [Yes/No]
    • Effect Size (if Yes): [e.g., Human readers showed an average improvement of 7.2% in sensitivity and a 12.1% reduction in false positives when assisted by the AI compared to reading without AI assistance. This translate to a statistically significant improvement in AUC of 0.05 (p
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