Dynamic PET Kinetic Modeling for Non-Invasive Liver Inflammation Scoring
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Solution Overview
Problem
Current methods for diagnosing nonalcoholic steatohepatitis (NASH) are invasive, painful, and time-consuming, with liver biopsy and clinical histopathology introducing risks and delays, and lacking in ability to quantify liver inflammation effectively.
Innovation Solution
Dynamic positron emission tomography (PET) scanning using tracer transport kinetic imaging to determine kinetic parameters associated with a kinetic model of an imaging agent in the liver, generating hepatic scores for characterizing NASH through a non-invasive, safer, and quicker process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If liver biopsy and clinical histopathology are used to diagnose NASH, then diagnostic accuracy is improved, but patient risk and procedure complexity increase
Solution Approach 1:
The patent replaces the mechanical invasive procedure of liver biopsy with a non-invasive PET imaging system. The imaging agent and kinetic modeling system substitute for the physical tissue extraction method, eliminating procedural risks while maintaining diagnostic capability through functional imaging measurements
2Loss of information
If liver biopsy is performed to characterize liver inflammation, then diagnostic information is obtained, but time delay and loss of time occur
Solution Approach 1:
The PET imaging system performs diagnostic characterization in advance without requiring subsequent confirmation procedures. The kinetic parameter measurements and hepatic scores are generated immediately from the imaging data, eliminating the weeks-long delay associated with tissue processing and pathologist analysis that follows biopsy
3Measurement precision
If liver biopsy and expert pathologist analysis are used, then detailed liver inflammation assessment is achieved, but device complexity and procedure complexity increase
Solution Approach 1:
The imaging system performs automated kinetic modeling and hepatic score generation from the PET imaging data. The system self-processes the diagnostic information through algorithmic analysis of time-activity curves and kinetic parameters, eliminating the need for external expert pathologist interpretation while maintaining assessment accuracy
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
Enables immediate, non-invasive characterization of liver inflammation and associated conditions, reducing patient risk and improving diagnostic efficiency compared to traditional biopsy methods.
Implementation Method 1
dynamic positron emission tomography (PET) scanning
Data Source
AI summary
A system and method for determining kinetic parameters associated with a kinetic model of an imaging agent in a liver is provided. An image reconstruction device can receive radiotracer activities corresponding to a predetermined time period. For example, these radiotracer activities can include PET scan data corresponding to a number of time frames. The radiotracer activities can be used to determine a liver time activity curve and a circulatory input function. The liver time activity curve and circulatory input function can be used along with a kinetic model of the liver to produce kinetic parameters. These kinetic parameters can be used to determine hepatic scores, such as a hepatic steatosis score, a hepatic inflammation score, and a cirrhosis score. These scores are indicative of diseases of the liver, including nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, and hepatic fibrosis.