Body Composition Prediction for Quantile and Body Age Evaluation
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Solution Overview
Problem
Existing methods for assessing body composition, such as ultrasound or CT scans, provide only muscle or fat mass of a single individual, lacking clinical significance and requiring physician evaluation, and do not allow precise determination of correlation between body composition and health status due to insufficient data volume.
Innovation Solution
A body composition normal model is established using a prediction model that inputs a body composition index and individual variables from medical images, enabling rapid and precise health evaluation by predicting quantile values and body age based on muscle, fat, or comprehensive indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing techniques (ultrasound or CT scans) are used to assess muscle mass, then muscle mass measurement is achieved, but the data lacks clinical significance and requires physician evaluation
Solution Approach 1:
The system automatically evaluates body composition data and generates health status assessments without requiring physician intervention. The prediction model self-service功能 compares measured values with reference ranges and provides automated interpretations, transforming raw measurement data into clinically actionable insights independently.
Solution Approach 2:
A computer-based prediction model serves as an intermediary between the measurement device and the physician. This intermediary automatically processes muscle mass data, compares it with reference populations, and generates standardized evaluation results, reducing the burden on physicians while maintaining measurement precision.
2Quantity of substance
If body composition data from single individuals is collected, then measurement is obtained, but correlation with health status cannot be precisely determined due to insufficient data volume
Solution Approach 1:
The system merges data from multiple individuals into a comprehensive reference database. By combining body composition measurements with corresponding health status information from numerous subjects, the system builds a robust reference population that enables precise correlation analysis between body composition metrics and health outcomes.
Solution Approach 2:
A reference database is preliminarily established before actual clinical use. This pre-built database contains body composition data and health status information from a large reference population, allowing the system to immediately provide accurate correlation analysis without requiring physicians to manually collect and analyze large datasets.
3Productivity
If traditional methods provide only single individual measurements, then simplicity is maintained, but rapid health evaluation and tracking cannot be achieved
Solution Approach 1:
The prediction model is designed with universal applicability to evaluate multiple body composition parameters (muscle mass, fat mass, bone density) across different populations. This multi-functional system can rapidly assess various health metrics using the same underlying technology, enabling comprehensive health evaluation without requiring separate specialized systems for each measurement type.
Data Source
AI summary
The present invention provides a method for evaluating body composition and a system for using thereof. The method comprises inputting a body composition index and an individual variable to a body composition prediction model so as to produce a body composition evaluation index. The body composition index, comprising a muscle index, a fat index or a comprehensive index, is measured according to a medical image, and the individual variable corresponds to an individual variable of the medical image. The system is configured to obtain the body composition index and the individual variable, and produces the body composition evaluation index accordingly. By using the method and the system, a quantile and a body age evaluation value of a corresponding individual among a normal population can be obtained, and requires only a medical image or a body composition index produced according thereto, which assists judgement of the individual's health status.