Percutaneous Nephrolithotomy Guidance via Intraoperative 3D Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional medical procedures, such as percutaneous nephrolithotomy (PCNL), face challenges in accurately identifying a percutaneous path to a target location within anatomic structures like the kidney while avoiding sensitive organs and tissues, due to shifts in patient position and deformable organ structures, leading to increased complexity and reliance on highly trained professionals.
Innovation Solution
A system that generates an intraoperative 3D model of the anatomic structure using point cloud data from sensors within the elongate flexible device, identifies substructures for access, and provides a graphical representation of optimal approach paths to the target, minimizing contact with sensitive tissues and reducing the need for multiple attempts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging and navigation methods are used for PCNL procedures, then the procedure can be performed with standard equipment, but the ability to accurately identify percutaneous path and avoid sensitive organs is compromised due to patient position shifts and organ deformation
Solution Approach 1:
The system performs preliminary 3D modeling and path planning before the actual puncture procedure. Sensors capture point cloud data and the system generates a 3D model of the anatomic structure, identifies substructures providing access to the target, and determines optimal approach paths in advance, allowing the operator to plan the procedure before patient position shifts or organ deformation occur
Solution Approach 2:
The system employs real-time sensor tracking and dynamic 3D model updating during the procedure. The sensor system continuously monitors the positions of anatomical structures and the access tool, allowing the system to adapt to patient position shifts and organ deformation by updating the 3D model and recalculating approach paths as needed
2Object-affected harmful factors
If real-time 3D modeling and path guidance systems are implemented, then accurate navigation and reduced risk of injury are achieved, but the device complexity and procedural setup requirements increase
Solution Approach 1:
The sensor system serves multiple functions: it captures point cloud data for 3D modeling, tracks the positions of anatomical structures, monitors the access tool during insertion, and provides real-time feedback for path verification. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated device
Solution Approach 2:
The system introduces a computational model (3D representation) as an intermediary between the physical anatomical structures and the operator's decision-making. The 3D model visualizes the target, substructures, and optimal approach paths, translating complex spatial relationships into an intuitive graphical interface that guides the operator without requiring direct complex measurements
3Manufacturing precision
If multiple attempts are made to access the target due to difficult path identification, then the procedure may eventually succeed, but the procedure time increases and tissue damage risk increases
Solution Approach 1:
The system determines optimal approach paths through the identified substructures before the puncture procedure begins. The 3D model displays multiple potential paths with their respective advantages, allowing the operator to select the best approach in advance, thereby avoiding multiple unsuccessful attempts and reducing procedure time
Solution Approach 2:
The sensor system provides real-time feedback during the puncture procedure by tracking the access tool's position and comparing it against the pre-planned optimal approach paths. This feedback allows the operator to make immediate corrections if deviating from the optimal path, ensuring precise target access on the first attempt and reducing procedure time
Data Source
AI summary
Medical instrument guidance systems and associated devices and methods are disclosed herein. In some embodiments, a method for providing guidance for percutaneous access to a target within an anatomic structure, includes receiving point cloud data from a sensor system coupled to an internal instrument as the internal instrument is moved within the anatomic structure; generating a 3D model of the anatomic structure based at least in part on the point cloud data; and receiving information for identifying a substructure within the 3D anatomic model. The substructure can provide access to the target. The method can further include determining an entry to the substructure; determining an approach path through the entry; and providing a graphical representation of the approach path.