Patient-Specific PET SUV Correction Using Liver Reference
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Solution Overview
Problem
Current methods for interpreting 18F FDG PET-CT images are subjective and lack reproducibility, with SUV thresholds being inconsistent across patients and devices, leading to decreased accuracy in differentiating malignant and non-malignant tissue uptake.
Innovation Solution
A system and method that utilize the stable glucose uptake in liver tissue to calculate a patient-specific correction value for PET intensity values, allowing for standardized comparison against decision thresholds to determine abnormal glucose uptake in regions of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual comparison of uptake in target lesion with mediastinal blood pool or liver parenchyma is used, then qualitative evaluation is possible, but subjectivity and poor reproducibility occur
Solution Approach 1:
The patent replaces the manual visual comparison method with an automated computer-based system that calculates quantitative metrics (SUV, SUVr, SUVpeak) from PET image data. This substitution of manual visual assessment with automated computational analysis eliminates subjectivity while maintaining ease of operation, directly resolving the contradiction between ease of qualitative evaluation and reproducibility
Solution Approach 2:
The patent transforms the qualitative visual comparison approach into quantitative measurement by introducing standardized parameters (SUV, SUVr, SUVpeak) with defined calculation methods. This parameter standardization enables objective, reproducible measurements while preserving the clinical utility of tissue uptake evaluation, addressing both ease of operation and reliability requirements
2Reliability
If SUV is used for differentiating malignant and non-malignant disease, then objective measurement is achieved, but inconsistency across patients and devices occurs
Solution Approach 1:
The patent introduces multiple standardized SUV parameters (SUV, SUVr, SUVpeak) with precise mathematical definitions and standardized calculation protocols. These parameter variations provide different perspectives on uptake characteristics while maintaining objectivity, and the standardization enables better consistency across different imaging platforms and patient populations
Solution Approach 2:
The patent employs standardized reference regions (mediastinal blood pool, liver parenchyma) as intermediaries to normalize and compare SUV measurements across different patients and devices. These reference regions serve as mediators that enable consistent quantitative comparison while accounting for variations in imaging conditions and patient physiology
3Measurement precision
If standard SUV thresholds are applied, then differentiation of malignant and non-malignant tissue is attempted, but accuracy decreases due to variability across imaging platforms
Solution Approach 1:
The patent provides multiple standardized SUV parameters (SUV, SUVr, SUVpeak) with distinct mathematical formulations that capture different aspects of radiotracer uptake. This parameter diversity enables more accurate tissue differentiation by allowing selection of the most appropriate metric for specific clinical scenarios, thereby improving diagnostic accuracy while maintaining platform consistency
Solution Approach 2:
The patent segments the uptake evaluation into distinct standardized metrics (SUV for overall uptake, SUVr for regional comparison, SUVpeak for maximum intensity). This segmentation allows clinicians to use the most appropriate parameter for specific diagnostic questions, improving accuracy while the standardization ensures reliability across platforms
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
This approach enhances the accuracy of distinguishing between healthy and diseased tissue, improving diagnostic consistency and reducing variability across different imaging platforms and patients, thereby increasing the reliability of disease diagnosis and treatment monitoring.
Implementation Method 1
positron emission tomography (PET) for physiologic imaging of malignancies
Data Source
AI summary
Systems and methods are provided for evaluating tissue for abnormal glucose uptake within a region of interest within a patient. A PET scanner obtains PET imagery including the region of interest and at least part of the liver. An SUV calculator calculates a first set of SUVs representing the region of interest and a second set SUVs representing the liver from the set of at least one PET image. A standardization component calculates a correction value as a function of the second set of SUVs and applies the correction value to either a decision threshold associated with the region of interest or the first set of SUVs. A diagnosis component compares the first set of SUVs to the decision threshold to determine if the glucose uptake within the region of interest is abnormal. A display provides the determination to a user.