Adipose Radiomic Signature for Non-Invasive Dysfunction Detection
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Solution Overview
Problem
Current methods for studying adipose tissue biology are invasive and inadequate for accurately capturing phenotypic characteristics, such as adipocyte hyperplasia, hypertrophy, adipogenesis capacity, and inflammation, which are crucial for understanding insulin resistance and obesity-related vascular disease.
Innovation Solution
A non-invasive method using a radiomic signature calculated from medical imaging data to characterize adipose tissue texture, comprising a weighted sum of selected radiomic features, which are statistically associated with adipose tissue dysfunction, allowing for the prediction of metabolic disorders like diabetes or insulin resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive biopsies are used to study adipose tissue biology, then measurement precision of adipose tissue phenotypes is improved, but ease of operation deteriorates and loss of time increases
Solution Approach 1:
The patent replaces the mechanical invasive biopsy procedure with a non-invasive radiomic analysis system that uses medical imaging data (CT, MRI, or X-ray) to extract phenotypic characteristics of adipose tissue. The system substitutes physical tissue sampling with computational analysis of imaging features, thereby eliminating the need for invasive procedures while maintaining measurement precision for adipose tissue phenotyping.
2Ease of operation
If simple volumetric quantification is used to measure body adiposity, then ease of operation is improved, but measurement precision of adipose tissue biology deteriorates
Solution Approach 1:
The patent segments the adipose tissue analysis into multiple radiomic features extracted from medical imaging data, including texture features, intensity features, and shape features. Instead of treating adipose tissue as a single volumetric quantity, the system divides the analysis into distinct phenotypic characteristics that can be independently measured and combined to provide comprehensive biological phenotyping while maintaining operational simplicity through automated computation.
3Measurement precision
If PET/CT imaging is used to study adipose tissue metabolic activity, then measurement precision of metabolic function is improved, but loss of energy increases and device complexity worsens
Solution Approach 1:
The patent uses standard medical imaging modalities (CT, MRI, or X-ray) that are more readily available and involve lower radiation exposure compared to PET/CT imaging. These imaging modalities serve as substitute 'short-living' diagnostic tools that can be performed more frequently and with less resource consumption while still providing sufficient information for adipose tissue phenotyping through radiomic analysis.
Data Source
AI summary
A method for characterising a region of interest comprising adipose tissue using medical imaging data of a subject is disclosed. The method comprises calculating the value of a radiomic signature of the region of interest using the medical imaging data. Also disclosed is a method for deriving a radiomic signature indicative of adipose tissue dysfunction. The method comprises obtaining a radiomic dataset and using the radiomic dataset to construct a radiomic signature of a region of interest comprising adipose tissue. Also disclosed are systems for performing the aforementioned methods.