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510(k) Data Aggregation

    K Number
    K093991
    Date Cleared
    2010-04-15

    (112 days)

    Product Code
    Regulation Number
    888.3353
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K072852, K052792, K001942

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

    The SLR-PLUS Hip Stem is indicated for uncemented use in individuals undergoing primary and revision surgery where other treatments or devices have failed in rehabilitating hips damaged as a result of trauma, inflammatory joint disease such as rheumatoid arthritis, or noninflammatory degenerative joint disease (NIDJD) or any of its composite diagnoses such as osteoarthritis; avascular necrosis; traumatic arthritis; slipped capital epiphysis; fused hip; fracture of the pelvis; diastrophic variant; old, remote osteomyelitis with an extended drainage-free period; nonunion, femoral neck fracture and trochanteric fractures of the proximal femur with head involvement that are unmanageable using other techniques; femoral osteotomy, or Girdlestone resection; fracture dislocation of the hip; and correction of deformity. Smith & Nephew Orthopaedics AG SLR-PLUS Hip Stems are intended for single use only.

    Device Description

    Subject of this Traditional 510(k) premarket notification is the SLR-PLUS Standard and Lateral Femoral Stems. The subject devices are intended for primary hip arthroplasties and to replace previously failed femoral hip arthroplasties. The SLR-PLUS Standard Femoral Stems are designed for prosthetic arthroplasty in primary and revision surgery. The SLR-PLUS Lateral stem has been designed to optimize the lateralization of the femur (offset) in hip arthroplasty surgery. Both stems are manufactured from Ti-6Al-7Nb titanium alloy.

    AI/ML Overview

    The provided document is a 510(k) summary for a medical device (femoral stems), and it does not describe an AI/ML powered device. Therefore, many of the requested categories related to AI/ML device evaluations, such as ground truth, sample sizes for training/test sets, expert qualifications, adjudication methods, or MRMC studies, are not applicable.

    The document focuses on demonstrating substantial equivalence to previously cleared predicate devices through mechanical testing.

    Here's an attempt to answer the questions based solely on the provided text, recognizing the limitations for an AI/ML context:

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

    Acceptance Criteria (Standard)Reported Device PerformanceComments
    Neck fatigue testing per ASTM F 2068-03Implied to meet or exceed."A review of the mechanical data indicates that the SLR-PLUS Standard and Lateral Femoral Stems are capable of withstanding expected in vivo loading without failure."
    Neck fatigue testing per ISO 7206-6Implied to meet or exceed."A review of the mechanical data indicates that the SLR-PLUS Standard and Lateral Femoral Stems are capable of withstanding expected in vivo loading without failure."
    Distal fatigue testing per ISO 7206-4/8Implied to meet or exceed."A review of the mechanical data indicates that the SLR-PLUS Standard and Lateral Femoral Stems are capable of withstanding expected in vivo loading without failure."
    Range of Motion per EN ISO 21535Implied to meet or exceed.(See above)

    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 does not specify the sample size for the mechanical tests. The data provenance is not mentioned, but it would typically be from laboratory testing rather than clinical data for this type of device.

    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)

    This is not applicable for a mechanical device. The "ground truth" for mechanical testing is established by compliance with the specified international standards (ASTM and ISO). No human experts are used to interpret the "ground truth" in this context.

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

    Not applicable. Mechanical tests have objective outputs that are compared directly to standard specifications, not adjudicated by human experts.

    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 physical hip stem, not an AI/ML diagnostic or assistive tool for 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 hip stem, not an algorithm.

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

    The "ground truth" for the performance of this device is adherence to mechanical performance standards (ASTM F 2068-03, ISO 7206-6, ISO 7206-4/8, EN ISO 21535). The performance is assessed against the requirements and specifications defined in these standards.

    8. The sample size for the training set

    Not applicable. This is not an AI/ML device that requires a training set.

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

    Not applicable.

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    Why did this record match?
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Total hip components are indicated for individuals undergoing primary and revision surgery where other treatments or devices have failed in rehabilitating hips damaged as a result of trauma, inflammatory joint disease such as rheumatoid arthritis, or noninflammatory degenerative joint disease (NIDJD) or any of its composite diagnoses such as osteoarthritis; avascular necrosis; traumatic arthritis; slipped capital epiphysis; fused hip; fracture of the pelvis; diastrophic variant; old, remote osteomyelitis with an extended drainage-free period; nonunion, femoral neck fracture and trochanteric fractures of the proximal femur with head involvement that are unmanageable using other techniques; femoral osteotomy, or Girdlestone resection; fracture dislocation of the hip; and correction of deformity. Smith & Nephew Oxinium DH femoral heads are for single use only.

    Device Description

    The Oxinium DH femoral heads are designed for use with existing Smith & Nephew hip stems featuring a 12/14 taper and will articulate against existing acetabular shell and liner constructs. A complete list of hip stems and acetabular components intended for use with the Oxinium DH heads is provided in Tables 1 and 2, respectively. The overall design of the Oxinium DH femoral heads is based upon the existing Total Hip 12/14 Taper Femoral Heads cleared via K021673 and the Oxinium femoral heads cleared as part of K022958 for Total Hip Femoral Heads & Liners.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the Smith & Nephew Oxinium DH Femoral Heads:

    The provided document (K081566) is a 510(k) Summary of Safety and Effectiveness for a medical device. It's important to understand that 510(k) clearances are based on demonstrating "substantial equivalence" to a predicate device, rather than proving stand-alone clinical efficacy through randomized controlled trials. Therefore, the information you're requesting regarding "acceptance criteria" and a "study that proves the device meets the acceptance criteria" in the context of performance metrics like sensitivity, specificity, human reader improvement with AI, etc., will likely not be present in this type of regulatory submission.

    Instead, the "acceptance criteria" for a 510(k) device like this are typically related to:

    • Mechanical performance: Ensuring the device meets strength, durability, and biocompatibility standards.
    • Indications for Use: Confirming the device is intended for the same or similar purposes as the predicate device.
    • Design and Materials: Demonstrating similarity in overall design and materials to a legally marketed predicate.

    The "study" proving these criteria are met is often a combination of mechanical testing and a comparison to predicate devices.

    Given this context, here's the information extracted from the provided text, addressing your questions where possible:


    1. Table of Acceptance Criteria and Reported Device Performance

    Note: As explained above, "acceptance criteria" for a 510(k) submission are generally not expressed in clinical performance metrics (like sensitivity/specificity) but rather in engineering and design equivalence.

    Acceptance Criteria CategoryReported Device Performance (from text)
    Mechanical Performance"A review of the mechanical testing results indicated that the Smith & Nephew Oxinium DH femoral heads are equivalent to devices currently used clinically and are capable of withstanding expected in vivo loading without failure."
    Indications for UseThe stated Indications for Use are identical to the predicate devices, covering rehabilitation of hips damaged by trauma, inflammatory/degenerative joint disease, avascular necrosis, fractures, etc.
    Design & Materials"The Smith & Nephew Oxinium DH femoral heads are similar in overall design, indications, and materials to the Total Hip 12/14 Taper Femoral Heads cleared via K021673 and the Oxinium femoral heads cleared as part of K022958 for Total Hip Femoral Heads & Liners."
    Biocompatibility(Not explicitly detailed in the provided text, but implied through substantial equivalence to predicate devices likely already deemed biocompatible.)

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

    • Test Set Sample Size: Not applicable in the context of clinical performance evaluation (like for diagnostic AI). The "test set" here refers to the samples used in mechanical testing. The document states "A review of the mechanical testing results," implying tests were conducted, but does not specify the sample size (e.g., number of heads tested for fatigue, static strength, etc.).
    • Data Provenance: Not applicable in the context of clinical data. The "data" primarily comes from mechanical laboratory testing performed on the device prototypes or production samples. The country of origin for such testing is not specified. It is a prospective test in the sense that the device was manufactured and then tested to confirm its properties.

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

    • Number of Experts: Not applicable. For mechanical testing, "ground truth" is established by engineering standards, specifications, and physical measurements, not by expert consensus in a clinical sense. The review of these results would be done by internal engineers, potentially external consultants, and ultimately FDA reviewers.
    • Qualifications of Experts: Not specified. If "experts" refers to those who designed or evaluated the mechanical tests, they would typically be biomechanical engineers, materials scientists, or other relevant technical professionals.

    4. Adjudication Method for the Test Set

    • Adjudication Method: Not applicable. Adjudication methods like 2+1 or 3+1 are used for establishing clinical ground truth (e.g., diagnosis from imaging). For mechanical testing, the "adjudication" is typically a direct comparison of measured values against established engineering specifications or performance of predicate devices. There isn't a "consensus" process for adjudicating if a material broke at a certain load.

    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 evaluating diagnostic tools or AI systems where human readers interpret results. This submission is for a physical implantable device (femoral head) and focuses on mechanical and material equivalence.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    • No. This question is irrelevant to the device described. This is a physical orthopedic implant, not an algorithm or AI system.

    7. The Type of Ground Truth Used

    • Ground Truth Type:
      • For mechanical performance: Engineering specifications, material properties, and performance data from predicate devices. The "ground truth" is that the device must withstand "expected in vivo loading without failure," which is assessed via standardized biomechanical testing (e.g., fatigue testing, static load testing to ISO or ASTM standards, though specific standards aren't cited in this summary).
      • For design, materials, and indications: The characteristics and performance of the legally marketed predicate devices (K021673 and K022958).

    8. The Sample Size for the Training Set

    • Sample Size for Training Set: Not applicable. This document is not describing an AI/machine learning model, so there is no "training set" in that context. If interpreted very broadly as the historical data used to design the device, it would be the cumulative knowledge and clinical experience with previous hip prostheses, but specific numbers are not given.

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

    • How Ground Truth for Training Set Was Established: Not applicable, as there is no "training set" in the common understanding for an AI/ML device. The "ground truth" for the design of the device is based on established biomechanical principles, historical clinical performance of similar devices, and regulatory standards for orthopedic implants.

    In summary: The K081566 document is a regulatory submission for substantial equivalence for a physical medical device. It relies on a comparison to existing, legally marketed predicate devices and demonstrates equivalence through mechanical testing and design/material similarity, rather than clinical performance studies (like those used for diagnostic AI or new drug approvals). The terms "acceptance criteria" and "study" in this context are interpreted differently than they would be for software-as-a-medical-device (SaMD) or AI medical devices.

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