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Updated: Mar 19, 2026

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Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model
Published on: April 18, 2015
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MRI contrast agent concentration and tumor interstitial fluid pressure
1Department of Physics, University of Windsor, Windsor, Ontario, Canada N9B 3P4.
Journal of Theoretical Biology
|June 26, 2016
Summary
This study links tumor interstitial fluid pressure (TIFP) to contrast agent concentration in DCE-MRI. A new method simplifies TIFP estimation by measuring along fluid velocity, aiding cancer research.
Area of Science:
- Biomedical Imaging
- Medical Physics
- Oncology
Background:
- Tumor interstitial fluid pressure (TIFP) significantly impacts drug delivery and treatment efficacy.
- Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is crucial for characterizing tumor microenvironments.
- Quantifying TIFP is essential for understanding tumor pathophysiology but remains challenging.
Purpose of the Study:
- To establish a relationship between TIFP and contrast agent concentration in DCE-MRI.
- To develop a practical method for predicting the spatial distribution of TIFP.
- To explore TIFP estimation using DCE-MRI parameters like interstitial volume fraction (ve) and transfer constant (Ktrans).
Main Methods:
- Modeling the spatial distribution of TIFP based on contrast agent concentration data from DCE-MRI.
- Investigating the correlation between linear fluid velocity distribution and quadratic TIFP distribution.
- Proposing measurement strategies along the direction of linear fluid velocity for simplified TIFP calculation.
Main Results:
- A linear fluid velocity distribution can correspond to a quadratic TIFP distribution.
- Measuring parameters along the fluid velocity direction simplifies TIFP estimation.
- The proposed method offers a practical approach to TIFP calculation in tumors.
Conclusions:
- DCE-MRI data can be utilized to predict TIFP spatial distribution.
- A simplified method for TIFP estimation is presented, leveraging fluid dynamics principles.
- This work provides a foundation for improved non-invasive TIFP assessment in oncology.
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