Automated PET-CT Tumor Quantification for Diffuse Lesions
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Solution Overview
Problem
Current cancer treatment assessment methods, particularly for systemic diseases like leukemia and lymphoma, face challenges in accurately measuring diffuse or non-localized lesions across a large volume of body tissue, leading to reduced sensitivity and incomplete understanding of disease progression.
Innovation Solution
An automated system using PET-based molecular and functional imaging with anatomical masking to identify and measure multiple dispersed lesions, guided by cancer type and imaging agent uptake, providing comprehensive and sensitive assessments of cancer progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CT imaging with RECIST guidelines is used to monitor cancer treatment, then the measurement process is simple and widely applicable, but measurement precision is reduced due to errors in characterizing single dimension, measuring small tumors, and measuring tumor size when tumor tissue is replaced with necrotic or fibrotic tissue
Solution Approach 1:
The patent combines PET functional imaging with CT anatomical imaging to create a hybrid system that overcomes the limitations of each individual modality. PET provides metabolic information to distinguish viable tumor tissue from necrotic or fibrotic tissue, while CT provides anatomical context, together enabling precise tumor volume measurement and treatment response assessment.
Solution Approach 2:
The patent introduces automated image processing software as an intermediary that integrates data from PET and CT scans, applies segmentation algorithms, and generates quantitative tumor measurements. This software mediator translates complex multi-modal imaging data into precise, objective treatment response metrics.
2Measurement precision
If PET imaging is used to characterize tumors during treatment, then measurement precision is improved by distinguishing necrotic and fibrotic tissue from healthy and tumor tissue, but device complexity increases due to the need for radioactive tracer compounds and specialized imaging equipment
Solution Approach 1:
The patent merges PET functional imaging capabilities with CT anatomical imaging in a hybrid system. This combination allows the system to leverage PET's superior tissue differentiation accuracy for identifying viable tumor tissue while using CT's anatomical framework to provide spatial context and reduce the operational complexity of PET alone.
Solution Approach 2:
The patent implements automated image processing and analysis algorithms that self-correct and self-optimize the interpretation of PET imaging data. The software automatically segments tumors, distinguishes tissue types, and quantifies treatment response without requiring manual intervention, thereby reducing the operational burden despite the complexity of PET equipment.
3Measurement precision
If manual identification of tumors by drawing ROI is used, then ease of operation is maintained with simple physician interaction, but measurement precision is reduced due to subjectivity and inconsistency in defining tumor boundaries
Solution Approach 1:
The patent implements automated image processing software that performs tumor segmentation and measurement without requiring manual physician intervention. The system automatically identifies tumor boundaries, calculates volumes, and quantifies treatment response, thereby eliminating subjective variability while maintaining ease of use through automated workflows.
Solution Approach 2:
The patent replaces the manual mechanical process of drawing ROIs by physicians with automated computational algorithms. These algorithms use image processing techniques to objectively define tumor boundaries and measure treatment response, substituting human manual operations with automated mechanical/computational processes that provide consistent, precise measurements.
4Reliability
If focused measurement of a single representative tumor is used, then ease of operation is maintained with simple analysis, but reliability is reduced because a particular tumor may not be representative of the disease as a whole
Solution Approach 1:
The patent segments the body into multiple anatomical regions and identifies all tumors within each region using automated image processing. This segmentation approach allows the system to analyze multiple dispersed lesions throughout the body, ensuring comprehensive disease assessment rather than relying on a single representative tumor.
Solution Approach 2:
The patent creates a universal analysis system that can handle multiple tumor types, locations, and sizes within a single integrated framework. The automated software universally applies segmentation and measurement algorithms across all lesions, providing comprehensive disease progression assessment regardless of the number or distribution of tumors.
5Reliability
If measurement of multiple dispersed lesions is performed to get comprehensive disease overview, then reliability is improved for assessing systemic diseases, but device complexity increases due to difficulty in isolating lesions from large volume of surrounding tissue
Solution Approach 1:
The patent replaces manual lesion identification and isolation processes with automated computational algorithms. The software automatically segments lesions from surrounding tissue using image processing techniques, eliminating the need for manual isolation while enabling comprehensive measurement of multiple dispersed lesions throughout the body.
Solution Approach 2:
The patent implements self-service automated analysis that performs lesion identification, segmentation, and measurement without requiring manual intervention. The system automatically handles the complex task of isolating multiple dispersed lesions from large volumes of surrounding tissue using integrated image processing and analysis algorithms.
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 enables accurate characterization of cancer progression by isolating and measuring multiple lesions with high sensitivity, offering a better overview of disease progression and providing clinical insights into individual tumors or groups, even in cases of diffuse or systemic diseases.
Implementation Method 1
PET that can distinguish among different types of tissue based on different uptake of a radioactive tracer compound targeted to a tumor
Data Source
AI summary
A sensitive method of assessing treatment using molecular and anatomical imaging scans provides automatic tumor identification and quantification within anatomical zones based on treatment criteria. Absolute or comparative measures of tumors in pre- and/or post-scans are thereby isolated from other tissue to accentuate the progress of the treatment when multiple scattered disease lesions are present.