Tibial Bone Density Profiling for Quantitative ACL Integrity Diagnosis
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Solution Overview
Problem
Existing qualitative tests for anterior cruciate ligament (ACL) integrity in knee replacement procedures lack reliability and cannot accurately diagnose injured but intact ACL conditions, often resulting in false negatives.
Innovation Solution
A method and system for diagnosing ACL integrity using bone density profiles of the tibial condyle, comparing them to reference profiles to predict the integrity and severity of ACL deficiencies, utilizing computer systems for autonomous analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If qualitative ACL integrity tests (anterior drawer test) are used, then the diagnostic process is simple and quick, but the reliability is low and false negatives occur
Solution Approach 1:
The patent replaces the manual mechanical anterior drawer test with an automated imaging-based diagnostic system. The system uses medical imaging (MRI or CT) to capture bone images, processes them through image analysis algorithms, and automatically determines ACL integrity based on bone density profiles and anatomical relationships, eliminating manual measurement errors and improving reliability while maintaining ease of use.
Solution Approach 2:
The patent introduces an intermediary computational analysis system between the physical test and the diagnostic conclusion. Instead of directly interpreting manual test results, the system uses image processing algorithms as an intermediary to objectively analyze bone density profiles, sulcus geometry, and anatomical relationships, providing a more reliable and quantifiable diagnostic basis.
2Device complexity
If binary ACL diagnosis (intact or ruptured) is performed, then the diagnostic process is straightforward, but the ability to diagnose injured but intact ACL conditions is lost
Solution Approach 1:
The patent transitions from a binary classification system to a multi-parameter continuous assessment system. Instead of simply determining whether the ACL is intact or ruptured, the system evaluates multiple parameters including bone density profiles, sulcus geometry measurements, anatomical landmark positions, and their relationships, enabling detection of subtle changes indicative of injured but intact ACL conditions.
Solution Approach 2:
The patent segments the ACL diagnosis into multiple components: bone density assessment, sulcus geometry analysis, anatomical landmark positioning, and their integrated interpretation. This segmentation allows the system to evaluate different aspects of ACL integrity separately and combine them to provide a comprehensive assessment that detects partial injuries and graded deficiencies.
3Reliability
If automated computer system analysis is implemented, then diagnostic reliability and precision improve, but device complexity increases
Solution Approach 1:
The patent uses digital copies of anatomical structures (bone images and processed models) instead of directly manipulating physical specimens. The imaging system creates digital representations of the patient's anatomy, which can be repeatedly analyzed, measured, and compared without additional physical intervention, reducing operational complexity while maintaining high diagnostic reliability.
Solution Approach 2:
The patent transforms complex anatomical and physiological information into simplified quantitative parameters (bone density values, geometric measurements, positional coordinates). This parameter transformation reduces the complexity of analysis by converting qualitative anatomical features into quantifiable data that can be processed algorithmically with high reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides reliable, quantitative assessment of ACL integrity, enabling informed surgical decisions and personalized surgical plans that can preserve or replace the ACL based on the severity of the deficiency.
Implementation Method 1
imaging a first bone of the joint of the patient and determining a bone density profile of the first bone based on results of the imaging step
Data Source
AI summary
A system and method of diagnosing tissue integrity related to a joint of a patient may include imaging a first bone of the joint of the patient, determining a bone density profile of the first bone based on results of the imaging step, comparing the bone density profile of the first bone to at least one reference bone density profile of a reference first bone, and predicting an integrity of a tissue with respect to the first bone based on the comparison. The first bone may be a tibia and the bone density profile of the tibia may include a bone density profile of a sulcus of a medial tibial condyle of the tibia. The tissue may be an anterior cruciate ligament (“ACL”) and the predicting step may include predicting the integrity of both an anteromedial bundle and a posterolateral bundle of the ACL.