MRI Muscle Assessment With Virtual Control Groups for Sarcopenia
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Solution Overview
Problem
Current methods for identifying muscle-related conditions like sarcopenia are ineffective in individuals with varying body sizes, particularly in the presence of obesity, due to inconsistent results from DXA instruments and BIA, and lack of specificity in functional tests, making early diagnosis challenging.
Innovation Solution
A method using magnetic resonance imaging (MRI) to assess muscle quantity and quality, combined with a virtual control group (VCG) based on individualized data parameters, normalizing muscle quantity values for body size, and incorporating muscle fat infiltration (MFI) for a more accurate evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If DXA or BIA methods are used to estimate muscle mass, then measurement can be performed, but results are inconsistent and lack precision especially in obese individuals
Solution Approach 1:
The patent uses MRI as an intermediary imaging modality to directly visualize and quantify muscle tissue, bypassing the indirect estimation methods of DXA and BIA. MRI provides direct structural information about muscle quantity and quality, serving as a more reliable mediator for assessment in obese populations where traditional methods fail.
Solution Approach 2:
The patent changes the measurement parameters from indirect estimates (DXA/BIA) to direct imaging parameters (MRI signal intensity, muscle cross-sectional area, fat infiltration percentages). This parameter transformation enables precise quantification of both muscle quantity and quality, including the critical addition of measuring intramuscular fat content which cannot be assessed by traditional methods.
2Difficulty of detecting and measuring
If functional tests like hand grip strength are used, then low function can be identified, but the tests are not muscle specific and lack sensitivity to aetiology
Solution Approach 1:
The patent segments the assessment into distinct components: muscle quantity (cross-sectional area), muscle quality (signal intensity, fat infiltration), and functional correlation. This segmentation allows specific measurement of muscle properties independent of functional performance, enabling detection of muscle pathology even when functional tests are confounded by non-muscle factors like motivation or neurological issues.
Solution Approach 2:
The patent replaces mechanical functional tests (hand grip strength, chair stand) with imaging-based assessment (MRI). This substitution eliminates the confounding factors inherent in mechanical tests (motivation, pain, neurological status) and provides direct visualization of muscle tissue properties, offering more precise and specific measurement of muscle condition.
3Adaptability or versatility
If body size adjustments are applied to muscle quantity measures, then comparison across individuals is enabled, but there is ongoing debate and no specific recommendation
Solution Approach 1:
The patent creates a virtual control group (VCG) by copying and adapting reference data from healthy individuals matched for age, sex, and BMI. This copied reference framework provides standardized, evidence-based thresholds for muscle quantity and quality that account for body size differences, replacing the need for ad-hoc adjustments and providing universally applicable diagnostic criteria.
4Loss of time
If sarcopenia diagnosis is attempted in obese individuals, then early diagnosis could be achieved, but current methods fail due to increased muscle quantity from carrying larger body weight
Solution Approach 1:
The patent applies local quality assessment by measuring muscle properties in specific anatomical locations (thigh, lumbar paraspinal muscles) and evaluating local fat infiltration within muscle tissue. This localized approach detects regional muscle quality changes and fat infiltration that occur early in sarcopenic obesity, providing precise early diagnosis independent of overall body weight or total muscle mass.
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 individualized, BMI-invariant thresholds for muscle-related conditions, improving the accuracy of sarcopenia diagnosis and tracking muscle-related changes, especially in overweight and obese individuals, with enhanced predictive power for functional outcomes.
Implementation Method 1
Magnetic resonance imaging (MRI), together with computed tomography (CT), is considered gold standard for non-invasive assessment of muscle quantity.
Data Source
AI summary
The present invention relates to a method (100) and system for evaluating a muscle related condition for a subject individual. The method comprises the steps of acquiring (101) a muscle quantity value (20) for the subject individual; acquiring (102) a data parameter value (10) for the subject individual, wherein the data parameter value relates to a quantified parameter of the subject individuals body composition; selecting (103) a number of individuals from a database (30) comprising at least one data parameter value (31) for a plurality of individuals and muscle quantity values (32) for said plurality of individuals, wherein the selection is based on the at least one data parameter value being compared to the subject individuals at least one data parameter value, thereby creating a virtual control group (VCG) (40); calculating (104) a prediction value (50) of the muscle quantity values (42) for the individuals in the VCG (40); and comparing (105) the muscle quantity value (20) for the subject individual to the determined prediction value (50) of the VCG (40).