Aortic Aneurysm Classification Using Reference Point Distances
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating and classifying aortic aneurysm morphology are lacking in consensus definitions and simplified protocols, which hinders the success of endovascular aneurysm repair (EVAR) by failing to accurately define and characterize critical sealing segments.
Innovation Solution
A system for defining and classifying aortic aneurysm anatomy using objective and easily identifiable points of reference, where the diameter and relative location of these points are used in a formulaic manner to characterize sealing segments and other anatomic variables, enabling the classification of aneurysms based on measured distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods for evaluating and classifying aortic aneurysm morphology are used, then the evaluation process is simple, but the accuracy and reliability of treatment evaluation is insufficient due to lack of consensus definitions
Solution Approach 1:
The patent segments the aortic aneurysm anatomy into distinct classification categories based on specific morphological features such as neck length, neck diameter, and presence of branch vessels. This segmentation allows for precise characterization of different aneurysm types while maintaining a structured evaluation framework that balances detail with usability.
2Ease of operation
If simplified protocols are used for aneurysm evaluation, then the ease of operation is improved, but the ability to accurately define and characterize critical sealing segments deteriorates
Solution Approach 1:
The patent applies local quality by defining specific measurement criteria and classification rules for different anatomical regions of the aortic aneurysm. Each sealing segment and anatomical feature has its own tailored evaluation parameters, allowing the system to maintain high reliability for critical measurements while keeping the overall protocol streamlined and easy to follow.
Data Source
AI summary
A method of anatomic classification of blood vessel anatomy in aneurysms includes the steps of accessing an image of a blood vessel, analyzing the image to identify a point of divergence of the blood vessel and one or more additional points of reference of the blood vessel. One or more distances are then measured between the point of divergence of the blood vessel and at least one of the one or more additional points of reference. The aneurysm is then classified based upon the measured distances. A method of treatment of an aneurysm in a blood vessel further includes implanting one or more devices within the blood vessel for treatment of the aneurysm.