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High-Throughput Capable Three-Dimensional Tissue Model for Quantification of Electroporation Thresholds
Published on: August 19, 2025
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Evaluation of Soft Tissue Sarcoma Tumors Electrical Conductivity Anisotropy Using Diffusion Tensor Imaging for
K Ghazikhanlou-Sani1, S M P Firoozabadi2, L Agha-Ghazvini3
1PhD student of Medical Physics, Tarbiat Modares University, Medical Physics Department, Tehran, Iran.
Journal of Biomedical Physics & Engineering
|September 28, 2016
Summary
Diffusion tensor imaging (DTI) can assess electrical conductivity anisotropy in sarcoma tumors. Ignoring this anisotropy in numerical models introduces a significant error, highlighting the need for DTI-based quantification in electroporation treatments.
Area of Science:
- Medical Imaging
- Biophysics
- Oncology
Background:
- Assessing tumor electrical conductivity anisotropy is vital for accurate electroporation treatment modeling.
- Electrical conductivity anisotropy influences electric and thermal field distribution during electroporation.
- Current methods for assessing anisotropy are varied, necessitating reliable techniques for clinical application.
Purpose of the Study:
- To calculate the electrical conductivity anisotropy in sarcoma tumors using diffusion tensor imaging (DTI).
- To evaluate the feasibility of DTI for quantifying tissue electrical conductivity anisotropy.
- To determine the impact of neglecting electrical conductivity anisotropy on numerical modeling accuracy.
Main Methods:
- Three patients with extremity sarcoma tumors underwent MRI, including T1, T2, and DTI sequences.
- Fractional anisotropy (FA) maps were generated using FSL software from DTI data.
- A 3D matrix of FA values was reconstructed for tumor, normal soft tissue, and bone to calculate anisotropy.
Main Results:
- Mean FA values in sarcoma tumors ranged from 0.475-0.690.
- Assuming isotropy (FA=0.577) leads to a mean 20% error in electrical conductivity calculations.
- A statistically significant difference (P<0.05) was found between mean FA values of tumor and normal soft tissues.
Conclusions:
- Diffusion tensor imaging (DTI) is a feasible technique for assessing tissue electrical conductivity anisotropy.
- Quantifying electrical conductivity anisotropy is crucial for accurate numerical modeling of electroporation treatments.
- DTI-derived anisotropy data can improve the precision of electroporation simulations and treatment planning.
