A novel method for pharmacokinetic parameters quantification in DCE-MRI: Application in prostate cancer

Area of Science:

• Medical Imaging
• Oncology
• Pharmacokinetics

Background:

• Accurate detection and quantification of tumor vascularity are crucial for cancer diagnosis, therapy guidance, and monitoring disease progression.
• Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a key tool for assessing tumor vascularity.

Purpose of the Study:

• To quantify pharmacokinetic parameters from multi-compartment models using DCE-MRI data of prostate cancer lesions.
• To analyze and process DCE-MRI data for enhanced prostate cancer characterization.

Main Methods:

• Employed a novel point-wise interpolation method for extracting pharmacokinetic parameters within compartmental models.
• Utilized voxel-based analysis and a three-time-point method to classify regions based on kinetic patterns.
• Extracted key parameters like vascular elimination rate ($k_{el}$) and extravascular transfer rate ($k_{ep}$).

Main Results:

• A two-compartment model identified fast and slow exchange regions, indicating potential for more complex models.
• Generated parameter distribution maps correlating with pathological and unaffected glandular regions.
• A three-compartment model revealed an intermediate exchange rate, supporting tissue heterogeneity beyond a two-compartment framework.

Conclusions:

• A two-compartment model effectively describes contrast media kinetics in prostate cancer.
• The novel voxel-wise method allows for estimation of tissue exchange parameters and their spatial distribution.
• Findings support applications in prostate cancer diagnostic evaluation and therapeutic monitoring.