Patient-Specific Spinal Implants Using 3D Modeling and Intraoperative Tracking
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Solution Overview
Problem
Current spinal surgery techniques lack precision in customizing spinal implants to individual patient anatomy, leading to variable surgical outcomes due to non-specific implant dimensions and placement, which can result in suboptimal correction of spinal curvature and potential further deterioration.
Innovation Solution
A system that utilizes medical imaging and predictive modeling to generate patient-specific spinal implants, including rods, cages, and screws, by determining precise dimensions and curvatures based on individual patient anatomy, and provides intraoperative tracking for real-time guidance during surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If standard spinal implants are used for general application, then device complexity is reduced and ease of manufacture is improved, but manufacturing precision and adaptability to individual patient anatomy deteriorate
Solution Approach 1:
The system performs preliminary actions by conducting medical imaging scans (CT, MRI, X-ray) and creating 3D digital models of the patient's spine before surgery. This preoperative planning includes simulating implant placement and determining optimal implant dimensions, which are then used to manufacture custom implants with precise patient-specific geometry.
Solution Approach 2:
The invention applies local quality by creating implants with patient-specific dimensions, curvatures, and geometries tailored to the unique anatomy of each patient's spinal column. Each implant is customized to match the specific vertebral bodies, intervertebral spaces, and curvature requirements of the individual patient rather than using standardized sizes.
2Adaptability or versatility
If patient-specific spinal implants are customized, then adaptability to individual anatomy is improved, but ease of manufacture and production time worsen
Solution Approach 1:
The system replaces traditional mechanical manufacturing processes with digital manufacturing technologies. A digital 3D model of the patient's spine is created from medical images, and this digital model is used to generate manufacturing instructions for additive manufacturing (3D printing) or CNC machining, enabling precise customization while streamlining the manufacturing process.
Solution Approach 2:
The invention utilizes parameter changes by varying key geometric parameters of the implants based on patient-specific measurements. The system adjusts implant length, diameter, curvature radius, and angular orientation to precisely match the patient's spinal anatomy, transforming standard implant designs into customized solutions through systematic parameter modification.
3Reliability
If precise implant dimensions are determined through imaging and simulation, then surgical outcome reliability is improved, but measurement precision requirements and device complexity increase
Solution Approach 1:
The system transitions from 2D medical images to 3D digital models, adding a dimensional layer that enables more accurate spatial representation of the patient's spine. The 3D models allow for volumetric analysis, multi-planar measurements, and virtual implant placement simulations that provide comprehensive anatomical information for determining optimal implant dimensions.
Solution Approach 2:
The invention implements feedback by using the measured anatomical parameters from patient imaging to iteratively refine implant design and placement simulation. The system compares simulated implant placement with actual anatomical constraints, adjusts parameters to optimize fit and function, and validates the design before manufacturing, ensuring reliable surgical outcomes.
4Adaptability or versatility
If custom spinal implants are manufactured for each patient, then product adaptability is improved, but productivity and surgical time worsen
Solution Approach 1:
The system performs all implant customization, dimensional determination, and placement planning before the surgical procedure. The 3D models and simulation results are finalized in advance, allowing custom implants to be manufactured and ready for implantation, eliminating time-consuming intraoperative adjustments and improving surgical efficiency.
Data Source
AI summary
The disclosure herein relate to systems, methods, and devices for developing patient-specific spinal treatments, operations, and procedures. In some embodiments, systems, methods, and devices described herein for developing patient-specific spinal treatments, operations, and procedures can comprise an iterative virtuous cycle. The iterative virtuous cycle can further comprise pre-operative, intra-operative, and post-operative techniques or processes. For example, the iterative virtuous cycle can comprise imaging analysis, case simulation, implant production, case support, data collection, machine learning, and/or predictive modeling. One or more techniques or processes of the iterative virtuous cycle can be repeated.