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510(k) Data Aggregation

    K Number
    K022779
    Date Cleared
    2002-11-20

    (90 days)

    Product Code
    Regulation Number
    888.3590
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    OTI UNICONDULAR INTERPOSITIONAL SPACER

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

    The OTI Unicondular Interpositional Spacer is intended for use in the Osteoarthritic knee, where substantial amounts of articular cartlige have been lost as a result of the disease.

    The prostheses will be used in indications for uncemented treatment of the Tibia articulating surfaces (Medial and Lateral) of the following:

    Moderate degeneration of the Medial and/or Lateral compartment of the knee (grade II-IV chondromalicia ) and minimal degeneration (grade I-II chondromalacia, no loss of joint space) in the patellofemoral components.

    Device Description

    OTI Unicondular Interpositional Spacer System

    AI/ML Overview

    This is an FDA Premarket Notification (510(k)) letter for a medical device called the "OTI Unicondular Interpositional Spacer System." This type of document primarily confirms that the device is substantially equivalent to a legally marketed predicate device and grants permission to market the device.

    This document does not contain the detailed information required to answer your specific questions about acceptance criteria and the study that proves the device meets those criteria.

    510(k) clearances typically do not include:

    • A table of acceptance criteria and reported device performance from a specific study. The substantial equivalence determination is often based on design similarities, material properties, and sometimes limited bench or preclinical testing, rather than extensive clinical efficacy studies with predefined acceptance criteria as might be seen for a PMA (Premarket Approval) or De Novo pathway.
    • Details about sample size, data provenance, number of experts, adjudication methods, MRMC studies, or standalone algorithm performance. These are more relevant to AI/ML-driven device evaluations or devices requiring clinical trials to demonstrate efficacy.
    • Specifics on how ground truth was established for training or testing sets.

    To reiterate, the provided text does not contain the information requested in your prompt. It solely outlines the FDA's decision to clear the device for marketing based on substantial equivalence.

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