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Force prediction for spinal implant optimization

A technology of implants and orthopedic implants, applied in the field of spinal internal fixation, can solve the problems of not being able to provide actual data in real time

Pending Publication Date: 2021-05-28
MAZOR ROBOTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This virtual analysis can predict the likely long-term effects of a given surgical intervention, but does not provide real-time data related to a specific implant in real time

Method used

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  • Force prediction for spinal implant optimization
  • Force prediction for spinal implant optimization
  • Force prediction for spinal implant optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0085] now refer to figure 1, which schematically illustrates an exemplary system the use of which enables implementation of the disclosed method for practical use of a potentially acceptable bone-implant system to optimize bone over time - Integration and function of the implant. In step A, a subject 14 is shown lying on an operating table 17 during a surgical implant procedure of the subject's spine 15 . The implant 12 (in this case a multi-layer spinal fusion rod) is selected, its shape according to the pre-operative plan or the surgeon's adaptation, and has been analyzed to suit the patient's clinical situation. One or more implant rods have a photoelastic coating on their outer surface, or have another type of stress sensor attached thereto, and are connected by pedicle screws 16 or other hardware to the vertebral location to be fused Or attach to the vertebral area to be repositioned. A real-time imaging device 11 , such as but not limited to a CCD camera or scanner, ...

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PUM

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Abstract

A method for optimizing orthopedic spinal implant survival using preoperative finite element analysis combined with intraoperative stress analysis. Based on clinically relevant data, finite element analysis, and corrected values of spinal parameters, an acceptable long-term stress score is determined for an appropriate implant, which is selected from a set of potential implants, such that the shape of the implant minimizes predicted stress values. From a preoperative medical image set, values of selected spinal alignment parameters are determined; finite element analysis is performed on potential implants to determine stress values; and a selected implant is digitally positioned in the medical image set to create a virtual bone / implant configuration. After the selected implant is inserted and bent to shape, actual stress values are measured intraoperatively. The process of bending and measuring stress values is repeated until the bone / implant configuration falls within the acceptable long-term stress score range.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of spinal fixation, particularly spinal fixation for predicting and optimizing long-term implant survival and surgical outcome. Background technique [0002] Lower back pain caused by axial skeletal instability is debilitating and requires extensive surgery each year to stabilize the lumbar spine. Other causes of spine-related weakness requiring surgical stabilization include kyphosis, scoliosis, and other abnormal curvatures of the spine. Some surgical procedures that immobilize adjacent vertebrae use intervertebral rods to stabilize and straighten the spine. Due to the strong forces generated on both the spine and the implant rod, many of these spinal fixation procedures fail to achieve fusion of the fixed bone, or the implant even fails, resulting in pain, disability, and the need for revision therapy. This failure requires additional surgical procedures, which are almost always more comple...

Claims

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Application Information

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IPC IPC(8): A61B34/10G16H50/50G16H10/60G06T19/20
CPCG16H50/50A61B34/10A61B2034/104A61B2034/108A61B2034/2061G06N20/00A61B17/7002G16H50/30G16H20/40G16H50/20G16H30/40A61B2034/102A61B2090/376A61B2090/3762A61B2090/374A61B2034/256A61B90/361A61B2034/105G16H30/20
Inventor S·施泰因贝格M·肖汉姆
Owner MAZOR ROBOTICS