Multi-Voxel MRS Tumor Boundary Detection via Metabolic Overlay
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Solution Overview
Problem
Current magnetic resonance spectroscopy (MRS) technologies have low accuracy for detecting tumor tissue boundaries and stromal cell distribution, which hinders their clinical application in cancer diagnosis.
Innovation Solution
The method combines multi-voxel 1H MRS with anatomical superimposed pseudocolor imaging to detect specific metabolic factors like lactic acid, enabling more accurate determination of tumor tissue boundaries and stromal cell distributions by generating detailed metabolic factor content-distribution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional MRS technology is used for detecting tumor tissue boundaries, then the detection method is simple, but the measurement precision is low
Solution Approach 1:
The patent combines multi-voxel 1H MRS technology with anatomical imaging to create a composite detection system. The MRS data showing metabolic factor distributions is overlaid on anatomical images, merging functional metabolic information with structural information to achieve precise tumor boundary delineation while maintaining clinical workflow integration
Solution Approach 2:
The patent transitions from conventional single-voxel or limited-coverage MRS to multi-voxel MRS that maps metabolic factor distributions across three-dimensional tumor volumes. This dimensional expansion allows simultaneous detection of multiple metabolic parameters (lactate, choline, lipids) across the entire tumor region, dramatically improving boundary detection accuracy
2Loss of information
If MRS technology is applied to detect tumor distribution ranges, then diagnostic information is enhanced, but the reliability of clinical application is reduced due to low accuracy
Solution Approach 1:
The patent employs pseudocolor mapping to visualize metabolic factor concentrations, where different colors represent different concentration levels of lactate, choline, and lipids. This visual encoding transforms complex spectral data into intuitive anatomical overlays that clearly delineate tumor boundaries and metabolic heterogeneity, making the information clinically actionable and reliable
Solution Approach 2:
The patent uses specific metabolic factors (lactate, choline, lipids) as intermediary markers that reflect underlying tumor biology and boundaries. These metabolic intermediaries provide indirect but reliable information about tumor cell distribution, viability, and boundaries without requiring direct visualization of tumor cells themselves
3Manufacturing precision
If only tumor cells are considered for treatment planning, then the treatment target is simple to identify, but the treatment effectiveness is reduced because tumor stromal cells determine patient survival
Solution Approach 1:
The patent applies different metabolic markers to identify different tumor components: lactate for tumor cells, choline for tumor stromal cells, and lipids for necrotic regions. This localized application of different metabolic criteria allows precise differentiation and delineation of various tumor compartments, enabling comprehensive treatment target definition that accounts for both tumor cells and stromal cells
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 provides more precise tumor tissue boundary delineation, including both core and peripheral regions, enhancing diagnostic accuracy and guiding tumor treatment, particularly surgery.
Implementation Method 1
Magnetic resonance spectroscopy (MRS) is a detecting method as a diagnostic means by using the magnetic properties of an atomic nucleus containing an odd proton in vivo and applying a magnetic field for magnetization and vibration, and to generate a magnetic resonance signal
Data Source
AI summary
A method for detecting tumor tissue boundaries or a tumor stromal cell distribution range, more specifically, a diagnostic or non-diagnostic method for determining the boundaries of a tumor tissue; the boundaries of the tumor tissue are determined by means of determining the boundaries of the tumor stromal cells in the tumor tissue. The present method can more accurately determine the boundaries of tumor tissue, which serves to more accurately instruct the treatment of tumors, especially with respect to surgical treatment.