K Number
K080569
Manufacturer
Date Cleared
2008-05-07

(68 days)

Product Code
Regulation Number
888.3060
Panel
OR
Reference & Predicate Devices
Predicate For
N/A
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The ROI-T Implant is indicated for use to replace a vertebral body that has been resected or excised due to tumor or trauma/fracture. The device is intended for use as a partial vertebral body replacement in the thoracolumbar spine (from T1 to L5) and is intended for use with supplemental internal fixation. The ROI-T may be implanted singularly or in pairs. Supplemental internal fixation is required to properly utilize this system.

Device Description

The ROI-T Implants are crescent shaped blocks in a variety heights and lordosis angles. The shape of the ROI-T offers more options to the surgeon to adapt to the patient' anatomy.

The ROI-T Implant features a closed graft space and offers superior vascularization of that space. The inferior and superior surfaces of the devices have a pattern of teeth to provide increased stability and inhibit movement of the implants.

AI/ML Overview

This device, the LDR Spine ROI-T Implant, is a medical device and not an AI/ML-driven diagnostic tool. Therefore, the questions related to AI/ML specific acceptance criteria, studies, ground truth, and expert involvement are not applicable in this context.

Acceptance Criteria and Device Performance:

The primary acceptance criteria for medical devices like the LDR Spine ROI-T Implant, especially for 510(k) submissions, revolve around demonstrating substantial equivalence to a legally marketed predicate device. This typically involves non-clinical performance data (e.g., mechanical testing, biocompatibility) rather than clinical studies with human readers or AI performance metrics.

Study Proving Device Meets Acceptance Criteria:

The study proving the device meets the acceptance criteria is a non-clinical performance study focused on mechanical properties.

  1. Table of Acceptance Criteria and Reported Device Performance:

    Acceptance Criteria (Implied)Reported Device Performance
    Substantial equivalence to predicate device (ROI-T System) for mechanical properties."Finite Element Analysis results demonstrated that the proposed ROI-T Implant is substantially equivalent to the predicate device."
  2. Sample Size used for the test set and the data provenance:

    • Sample Size: Not applicable in the context of Finite Element Analysis (FEA). FEA is a computer-based simulation, not a traditional test set with a sample size of physical units.
    • Data Provenance: Not applicable. FEA is a computational method.
  3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • Not applicable. FEA uses engineering principles and material properties as its "ground truth" or input data, not expert consensus in a medical diagnostic sense. Engineers or biomechanical experts would design and validate the FEA model.
  4. Adjudication method for the test set:

    • Not applicable. FEA results are analyzed and validated against engineering standards or established methods, not through an adjudication process.
  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:

    • No. This is not an AI/ML device.
  6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done:

    • No. This is not an AI/ML device.
  7. The type of ground truth used:

    • The "ground truth" for non-clinical performance data like FEA is based on:
      • Material properties: Established scientific and engineering data for the materials used (e.g., titanium alloys).
      • Biomechanical principles: Accepted biomechanical models and principles related to spinal load-bearing and stability.
      • Predicate device performance: The known mechanical performance characteristics of the legally marketed predicate device, against which the new device's FEA results are compared.
  8. The sample size for the training set:

    • Not applicable. This is not an AI/ML device. FEA involves defining geometries, material properties, and boundary conditions, not a data training set.
  9. How the ground truth for the training set was established:

    • Not applicable. This is not an AI/ML device.

§ 888.3060 Spinal intervertebral body fixation orthosis.

(a)
Identification. A spinal intervertebral body fixation orthosis is a device intended to be implanted made of titanium. It consists of various vertebral plates that are punched into each of a series of vertebral bodies. An eye-type screw is inserted in a hole in the center of each of the plates. A braided cable is threaded through each eye-type screw. The cable is tightened with a tension device and it is fastened or crimped at each eye-type screw. The device is used to apply force to a series of vertebrae to correct “sway back,” scoliosis (lateral curvature of the spine), or other conditions.(b)
Classification. Class II.