Musculoskeletal Spine Modeling for Postoperative Sagittal Alignment
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Solution Overview
Problem
Existing surgical planning methods fail to adequately consider sagittal alignment and its impact on post-operative balance, leading to potential pain and disability due to malalignment in spinal deformity and degenerative cases.
Innovation Solution
A system and method for surgical planning that utilizes a biomechanical model aligned to patient-specific vertebral bodies, simulating spinal corrections and predicting post-operative alignment through inverse-inverse dynamics to optimize posture and minimize muscle effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional surgical planning methods are used, then the surgical procedure can be performed with standard protocols, but sagittal alignment and post-operative balance are not adequately considered, leading to potential pain and disability
Solution Approach 1:
The system performs preliminary simulation of spinal corrections before actual surgery by creating a biomechanical model of the patient's spine and testing different correction scenarios in advance. This allows surgeons to predict post-operative alignment and balance outcomes before committing to the surgical procedure.
Solution Approach 2:
The system creates a virtual copy (biomechanical model) of the patient's spine and musculoskeletal system that can be manipulated and simulated without risking the actual patient. This digital twin allows repeated testing of surgical scenarios and prediction of outcomes with high fidelity to the real anatomy.
2Ease of operation
If sagittal alignment is optimized using biomechanical modeling, then post-operative balance and muscle efficiency are improved, but the complexity of the planning process increases
Solution Approach 1:
The system replaces complex mechanical measurements and physical trial procedures with computational biomechanical modeling. Instead of relying on physical measurements or trial surgeries to assess alignment, the system uses computer-based simulations that incorporate musculoskeletal anatomy, muscle forces, and spinal mechanics to predict outcomes.
Solution Approach 2:
The system systematically varies key parameters such as vertebral body positions, spinal curvature angles, and muscle force vectors to simulate different surgical scenarios. By changing these parameters in the biomechanical model, the system can predict how different correction approaches affect alignment and balance without physical experimentation.
3Measurement precision
If full-body musculoskeletal modeling is implemented, then prediction accuracy of post-operative alignment is improved, but computational requirements and system complexity increase
Solution Approach 1:
The system divides the complex human body into segmented anatomical regions (vertebral bodies, intervertebral discs, muscles, ligaments) that can be modeled and simulated independently. This segmentation allows the full-body musculoskeletal model to be constructed from manageable components, improving computational efficiency while maintaining overall accuracy.
Solution Approach 2:
The biomechanical modeling system is designed to serve multiple functions: it can simulate different surgical scenarios, predict post-operative outcomes, optimize alignment parameters, and plan muscle reattachment procedures. This multi-functionality justifies the computational complexity by providing comprehensive planning capabilities that address various aspects of spinal surgery.
Data Source
AI summary
A system for surgical planning and assessment of spinal pathology or spinal deformity correction in a subject, the system comprises a control unit configured to align one or more vertebral bodies of a biomechanical model to one or more vertebral bodies of the radiograph. The control unit is configured to receive one or more spinal correction inputs. The control unit is configured to, based on the received one or more spinal correction inputs, simulate the biomechanical model in a predetermined posture. The control unit is configured to provide for display one or more characteristics of the simulated biomechanical model.