DBSI-EIS MRI for Tumor Heterogeneity Quantification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current imaging techniques, such as MRI and PET, face challenges in non-invasively and accurately quantifying tumor heterogeneity, particularly in brain tumors, due to limitations in resolving complex tissue pathologies and the need for invasive procedures or radiative tracers that can cause harm and provide incomplete visualization.
Innovation Solution
The use of diffusion basis spectrum imaging (DBSI) with extended isotropic spectrum (DBSI-EIS) provides a non-invasive method to differentiate and quantify tumor heterogeneity by measuring tumor cell microstructures, edema, and vascular structures in a single clinical imaging scan without the need for exogenous contrast agents, enabling the generation of multiple parametric images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PET imaging is used to non-invasively image brain tumors, then radiation exposure and incomplete visualization occur, but non-invasive imaging capability is achieved
Solution Approach 1:
The patent replaces PET imaging (which uses radiative tracers) with diffusion MRI imaging (which uses magnetic field gradients). This substitution eliminates radiation exposure while maintaining non-invasive imaging capability. The diffusion MRI technique measures water molecule diffusion patterns to generate multiple parametric images that visualize different tumor components without introducing harmful radiation into the patient.
Solution Approach 2:
The patent makes a single diffusion MRI scan perform multiple diagnostic functions by generating multiple parametric images from different diffusion compartments. The technique simultaneously visualizes tumor cells, edema, and vascular structures in one scan, replacing the need for multiple separate imaging procedures and providing comprehensive tumor characterization without radiation exposure.
2Measurement precision
If biopsy is performed to accurately characterize tumor cells, then complete tissue characterization is achieved, but invasive procedures and potential brain damage occur
Solution Approach 1:
The patent creates non-invasive copies of histological information through diffusion MRI parametric images. Different diffusion compartments (restricted, slow, fast) correspond to different tissue structures (tumor cells, edema, vasculature), providing a 'virtual biopsy' that characterizes tumor heterogeneity without physically removing tissue. This copying approach maintains diagnostic accuracy while eliminating the risks of invasive biopsy procedures.
Solution Approach 2:
The patent uses water molecule diffusion as an intermediary to indirectly measure tumor cell properties. Instead of directly observing cells through biopsy, the technique measures how water diffuses through different tissue compartments, with diffusion patterns serving as mediators that reveal information about cell density, structure, and composition without requiring direct tissue contact or removal.
3Loss of information
If multiple imaging modalities are used to comprehensively evaluate tumor heterogeneity, then complete tumor profiling is achieved, but imaging time and complexity increase
Solution Approach 1:
The patent merges multiple imaging functions into a single diffusion MRI scan. By acquiring diffusion-weighted images with multiple b-values and directions, the technique simultaneously generates multiple parametric images (ADC maps, diffusion kurtosis, compartment-specific images) that together provide comprehensive tumor heterogeneity evaluation. This merging approach consolidates what would otherwise require multiple separate imaging sessions into one procedure.
Solution Approach 2:
The patent enables a single diffusion MRI sequence to perform multiple diagnostic functions by decomposing the diffusion signal into different compartments (restricted, slow, fast). Each compartment provides information about specific tissue structures, allowing one scan to simultaneously assess tumor cellularity, edema, and vascularization—functions that traditionally required multiple different imaging modalities.
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
DBSI-EIS effectively differentiates various grades of tumor cells and identifies regions of hyperperfusion or hypoperfusion, offering a more accurate and comprehensive diagnosis, reducing the need for invasive procedures and improving treatment planning and post-treatment evaluation.
Implementation Method 1
diffusion magnetic resonance (MR) signals
Data Source
AI summary
Provided herein are methods for imaging and diagnosing at least one disorder in a patient utilizing diffusion basis spectrum imaging MRI with extended isotropic spectrum (DBSI-EIS). The methods may be used as a tool to image and diagnose heterogeneities within tumors. As a result, different tumor types can be detected, distinguished from one another, and individually quantified without the need to inject exogenous contrast agents.