Related Experiment Video
Updated: Feb 22, 2026
08:23
High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds
Published on: August 19, 2025
606
Uncertainty Quantification in Irreversible Electroporation Simulations
1Engineering Science & Mechanics, The Pennsylvania State University, State College, PA 16801, USA. nal5047@psu.edu.
Bioengineering (Basel, Switzerland)
|September 28, 2017
Summary
Uncertainty in tissue conductivity impacts irreversible electroporation (IRE) ablation predictions. This study quantifies how variations in conductivity affect electrical field distribution for cancer treatment planning.
Area of Science:
- Oncology
- Biomedical Engineering
- Medical Physics
Background:
- Irreversible electroporation (IRE) is an emerging minimally invasive cancer treatment.
- IRE uses electrical pulses to ablate tumor cells via inserted needle electrodes.
- Accurate ablation predictions are crucial for effective treatment planning.
Purpose of the Study:
- To investigate the impact of conductivity uncertainty on IRE ablation predictions.
- To analyze how variations in tissue and tumor conductivity influence electrical field distribution.
- To provide data for refining IRE treatment planning.
Main Methods:
- Two-dimensional simulations of a liver tumor model with monopolar electrodes.
- Modeling conductivity values as random variables based on published data.
- Utilizing Monte Carlo simulations at varying voltages to assess variability.
Main Results:
- Quantified the propagation of conductivity uncertainty into electrical field predictions.
- Reported average and standard deviation for key electrical field properties within the tumor.
- Visualized the variability in electrical field distribution across the tumor volume.
Conclusions:
- Tissue and tumor conductivity variability significantly affects IRE ablation predictions.
- Understanding this uncertainty is essential for optimizing treatment planning and improving patient outcomes.
- The findings support the development of more robust IRE treatment strategies.
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