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510(k) Data Aggregation

    K Number
    K163585
    Date Cleared
    2017-06-02

    (164 days)

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

    Responsive Orthopedics Total Hip Arthroplasty System

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

    The Responsive Orthopedics Total Hip Arthroplasty System is indicated for cementless use only in the following cases:

    • · Noninflammatory degenerative joint disease including osteoarthritis and avascular necrosis;
    • · Rheumatoid arthritis;
    • · Correction of functional deformity;
    • · Revision procedures where other treatments or devices have failed; and
      · Nonunions, femoral neck and trochanteric fractures of the proximal femur with head involvement that are unmanageable using other techniques.

    The Responsive Orthopedics Total Hip Arthroplasty System Acetabular screws are indicated for supplemental fixation of Responsive Orthopedics Acetabular Cup.

    Device Description

    The Responsive Orthopedics Total Hip Arthroplasty (RO THA) System is a total hip system that allows for the restoration of alignment, stability and range of motion, and alleviates pain, by replacing the articulating surfaces of the hip joint. The system includes both femoral and acetabular components. The implants are available in a variety of sizes to accommodate varying patient anatomy.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for a medical device, the "Responsive Orthopedics Total Hip Arthroplasty System." However, this document primarily focuses on the substantial equivalence of the subject device to predicate devices based on indications for use, technological characteristics, materials, and performance bench testing.

    Crucially, the document does NOT contain information about a study proving the device meets acceptance criteria related to clinical performance, particularly in the context of AI/algorithm performance with human involvement or standalone performance (e.g., accuracy, sensitivity, specificity, or reader improvement). The performance data mentioned refers exclusively to bench testing of the physical properties and durability of the hip implant components.

    Therefore, I cannot fulfill most of your request as the information is not present in the provided document. The document discusses mechanical, material, and assembly testing for a physical orthopedic implant, not an AI or algorithmic device that would typically involve acceptance criteria, test sets, expert adjudication, or MRMC studies for clinical performance on data.

    Here's what I can extract from the provided text regarding the closest relevant sections (Performance Data and Acceptance Criteria for bench testing), and explanations for why other sections cannot be answered:


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

    The document broadly states: "The subject devices met the pre-determined acceptance criteria for all tests. Therefore, design verification testing determined that the subject devices are substantially equivalent to the predicate devices."

    However, it does not provide a specific table detailing:

    • The exact numerical acceptance criteria for each test (e.g., "Fatigue life must exceed X cycles at Y load").
    • The specific numerical results obtained for each test (e.g., "Femoral Stem Fatigue Test result: Z cycles at Y load").

    It only lists the types of performance bench tests conducted:

    Test TypeReported Device Performance (General)
    Femoral Stem Fatigue TestingMet pre-determined acceptance criteria for all tests.
    Femoral Neck Fatigue TestingMet pre-determined acceptance criteria for all tests.
    Axial Disassembly TestingMet pre-determined acceptance criteria for all tests.
    Fretting and Corrosion TestingMet pre-determined acceptance criteria for all tests.
    Cup and Liner Disassembly TestingMet pre-determined acceptance criteria for all tests.
    Screw Characteristics TestingMet pre-determined acceptance criteria for all tests.
    Ceramic Femoral Head Comparative Burst TestingMet pre-determined acceptance criteria for all tests.
    Ceramic Femoral Head Fatigue and Post-Fatigue Burst TestingMet pre-determined acceptance criteria for all tests.
    Ceramic Femoral Head Axial Disassembly TestingMet pre-determined acceptance criteria for all tests.
    Ceramic Femoral Head Torque TestingMet pre-determined acceptance criteria for all tests.
    Pyrogenicity TestingMet pre-determined acceptance criteria for all tests.
    Wear and impingement performance of linersAddressed based on comparison of minimum thickness with predicate devices.

    Regarding the sections typically relevant to AI/Algorithm performance studies for medical devices:

    2. Sample size used for the test set and the data provenance: Not applicable. The "test set" here refers to physical components undergoing bench testing, not a dataset of patient images/records.
    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. Ground truth for an AI/algorithm (e.g., disease presence in an image) is not relevant to the described mechanical/material testing of a hip implant.
    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set: Not applicable. Adjudication methods are used in clinical studies or expert reviews of data, not for bench testing of physical properties.
    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 study type is for evaluating the impact of AI assistance on human performance (e.g., radiologists interpreting images). The device described is a physical hip implant.
    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable. The device is a physical implant, not an algorithm.
    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.): Not applicable. "Ground truth" in this context would be related to the physical properties measured during bench testing (e.g., the actual force applied, the measured fatigue cycles until failure), established by engineering standards and measurement tools.
    8. The sample size for the training set: Not applicable. There is no "training set" in the context of testing a physical medical device. This concept applies to machine learning models.
    9. How the ground truth for the training set was established: Not applicable.


    In summary: The provided document is a 510(k) clearance letter and summary for a physical medical device (a hip replacement system), not a software or AI-based device. Therefore, the detailed information sought regarding acceptance criteria and study designs for AI/algorithm performance (e.g., involving clinical data, expert readers, MRMC studies) is not present and is not relevant to the type of device described. The "performance data" discussed refers exclusively to bench testing for the physical and mechanical properties of the implant components.

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