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510(k) Data Aggregation

    K Number
    K241356
    Device Name
    Fine Osteotomy™
    Date Cleared
    2024-09-05

    (114 days)

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

    K240703

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

    Fine Osteotomy™ is a system intended for open- and closed-wedge osteotomies, treatment of bone and joint deformities, fixation of fractures and malalignment caused by injury or disease, such as osteoarthritis, of the distal femur and proximal tibia.

    Fine Osteotomy disposable instrumentation is intended to assist in pre-operative planning and/or in guiding the marking of bone and/or guiding of surgical instruments in non-acute, non-joint replacing osteotomies around the knee.

    Fine Osteotomy is a patient-specific device.

    Device Description

    Fine Osteotomy™ is a system for planning osteotomies of the distal femur and proximal tibia, and for stabilizing the bone with bone screws and a patient-specific bone plate that fits the patient's anatomy " consists of patient-specific surgical planning and instrument guides designed from images of the patient-specific bone plate designed from the patient's images, compression and/or locking bone screws, and class 1 reusable manual instruments. The bone plate is a patient-specific, single-use implant; the surgical planning and instrument guides are patient-specific, single-use, and discarded after surgery. Fine Osteotomy™ is offered in three configurations: 1) as a system of patient specific implants and single use instruments for performing osteotomies and implanting hardware to stabilize the resection, 2) as patient specific single use instruments alone for performing osteotomies, and 3) as a patient specific bone plate and screws for stabilizing a bone resection or fracture.

    When used as a system, Fine Osteotomy™ enables the surgeon to perform and stabilize the bone around the knee that matches the pre-surgical plan using the patient-specific cutting guides and bone plate. When the planning guides and resection instruments are used alone, Fine Osteotomy™ enables the surgeon to perform an osteotomy around the knee the presurgical plan using the patient-specific cutting guident's CT images. When the bone plate and screws are used alone. Fine Osteotomy™ enables the surgeon to stabilize fractured or resected bone per the patient's CT images in design of the Bodycad plate and use of the bone models intra operatively to guide placement of bone. The Fine Osteotomy System is provided clean, not sterile to the user.

    This 510(k) submission is intended to notify the FDA of the mechanical locking system, the addition of new screw lengths, and option to use a new in-house for planning and cutting quide design in the Fine Osteotomy System, previously cleared in K240703.

    Materials: Wrought Titanium-6Alum ELI Alloy (Ti6A4V ELJ; ASTM F136-13) for the bone plates and screws, additively manufactured Nylon-12 for patient specific, single use resection guides and models.

    AI/ML Overview

    The provided text is a U.S. FDA 510(k) summary for the "Fine Osteotomy™" device. It describes the device, its intended use, and the basis for substantial equivalence to predicate devices, including non-clinical testing. However, it does not include specific acceptance criteria or a detailed study proving the device meets those criteria in the format requested.

    The document primarily focuses on demonstrating substantial equivalence based on:

    1. Technological comparison: The device retains the same intended use and technological characteristics as predicate devices, with enhancements to the mechanical locking system, additional screw lengths, and a new in-house tool for planning and cutting guide design.
    2. Non-clinical tests: Mechanical testing was conducted to demonstrate performance.

    Here's an attempt to extract and format the information based on the provided text, highlighting what is available and what is explicitly not available:


    Acceptance Criteria and Device Performance Study for Fine Osteotomy™

    The provided 510(k) summary focuses on demonstrating substantial equivalence through technological comparison and non-clinical mechanical testing. It does not present specific quantitative acceptance criteria or a detailed study report in the requested format (e.g., with effect sizes for human readers, sample sizes for test sets with detailed provenance, or adjudication methods for ground truth). The information below is extracted or inferred from the available text.

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria CategorySpecific Metric (Implicit)Acceptance Criteria (Implicit/Inferred)Reported Device Performance (Summary)
    Mechanical PerformanceTorsional StrengthExceed predicate device performanceExceeded performance of predicate devices
    Pull-Out StrengthExceed predicate device performanceExceeded performance of predicate devices
    Bending Resistance (Static)Enhanced structural integrityConfirmed enhanced structural integrity
    Bending Resistance (Dynamic)Enhanced structural integrityConfirmed enhanced structural integrity
    Push-Out ForceCrucial for osteotomy repair stabilityMeasured for stability
    Software Validation(Not specified)Meet necessary performance/safety standardsMet all necessary performance and safety standards

    2. Sample Size for the Test Set and Data Provenance

    The document describes non-clinical mechanical testing and software validation. It does not specify a "test set" in the context of patient data or clinical images. The tests were performed on the device components themselves (locking screws, bone plates) and through software validation. Therefore:

    • Sample size for test set: Not applicable in the context of patient or image data. The "sample" would be the device components tested, but specific numbers are not provided.
    • Data provenance: Not applicable. The data is generated from laboratory mechanical testing and software validation.

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

    This information is not applicable as the described tests are non-clinical mechanical and software validation. There is no "ground truth" derived from expert review of patient data in this context.

    4. Adjudication Method for the Test Set

    This information is not applicable as the described tests are non-clinical mechanical and software validation, not involving human expert adjudication of a test set.

    5. Multi Reader Multi Case (MRMC) Comparative Effectiveness Study

    A MRMC comparative effectiveness study was not performed or described in the provided document. The submission focuses on device performance and substantial equivalence based on physical and software characteristics, not on the effectiveness of human readers with or without AI assistance.

    6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Performance

    The device includes "patient-specific surgical planning and instrument guides" and "in-house for planning and cutting guide design." While the document mentions "software validation," it does not specifically detail a standalone algorithm-only performance study with quantitative metrics for its planning or design components. The software's role is to aid in creating physical instruments and implants.

    7. Type of Ground Truth Used

    For the non-clinical mechanical tests, the "ground truth" is established by standard engineering principles and test methodologies (e.g., ASTM standards for material properties and mechanical strength). For software validation, the "ground truth" refers to meeting predefined functional and non-functional requirements and safety standards. It is not expert consensus, pathology, or outcomes data.

    8. Sample Size for the Training Set

    There is no mention of a "training set" in the context of machine learning or AI algorithm development. The software capabilities mentioned are for "converting medical into 3D models manually" and designing guides, implying a rule-based or CAD-like system rather than a machine learning model that requires a discrete training set.

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

    As there is no mention of a training set for a machine learning model, this information is not provided.

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