1D Thermoembolization Model Using CT Imaging Data for Porcine Liver
Rohan Amare1, Danielle Stolley2, Steve Parrish3
1Department of Imaging Physics, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Arxiv
|September 24, 2024
Summary
A new mathematical model predicts thermoembolization effects in the hepatic artery. This minimally invasive therapy combines thermal ablation and embolization, offering improved care for liver cancer patients.
Area of Science:
- Biophysics
- Medical Imaging
- Computational Fluid Dynamics
Background:
- Thermoembolization is an innovative, minimally invasive therapy combining thermal ablation and embolization.
- Understanding the biophysical complexities of thermoembolization is crucial for clinical application, particularly in treating hepatocellular carcinoma.
- Mathematical modeling offers a pathway to comprehend these complex processes and support clinical decision-making.
Purpose of the Study:
- To develop and validate a mathematical model for predicting mass transport and embolization in hepatic arteries during thermoembolization.
- To utilize a Hagen-Poiseuille 1D blood flow model for analyzing endovascular procedures.
Main Methods:
- A Hagen-Poiseuille 1D blood flow model was applied to in-vivo porcine hepatic artery imaging data.
- The hydrolysis time constant for the acid chloride reaction was optimized for each subject.
- Leave-one-out cross-validation (LOOCV) was employed to assess the model's predictive accuracy.
Main Results:
- The 1D flow model achieved a balanced accuracy of 66.8% in predicting potential embolization locations within the hepatic artery.
- The model successfully identified possible sites of vascular damage.
Conclusions:
- The developed mathematical model provides initial insights into the vascular transport phenomena associated with thermoembolization.
- This modeling approach can aid clinicians in understanding and predicting the outcomes of thermoembolization procedures.
