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Using Patient-Specific 3D Modeling and Simulations to Optimize Microwave Ablation Therapy for Liver Cancer.

Amirreza Heshmat¹, Caleb S O'Connor¹, Jessica Albuquerque Marques Silva²

¹Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.

|June 19, 2024

Summary

This summary is machine-generated.

Personalized 3D models accurately predict microwave ablation (MWA) zones in liver tumors, improving treatment planning. Simulations show prolonged MWA offers minimal benefit once adequate margins are reached, reducing healthy tissue damage.

Keywords:

3D model ablation zone finite element method image-guided cancer therapy liver cancer microwave ablation necrotic tissue thermal ablation

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Thermal Ablation for the Treatment of Abdominal Tumors

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Area of Science:

Medical Physics
Oncology
Biomedical Engineering

Background:

Microwave ablation (MWA) for liver tumors faces challenges with imprecise ablation margins, risking incomplete tumor destruction or damage to surrounding healthy tissues.
Accurate prediction of ablation zones is crucial for optimizing MWA treatment efficacy and patient outcomes.

Purpose of the Study:

To develop and validate patient-specific three-dimensional (3D) models for simulating MWA in liver tumors.
To compare predicted ablation zones with clinical outcomes to enhance MWA treatment planning.

Main Methods:

Creation of patient-specific 3D models from contrast-enhanced CT images.
Simulation of MWA using coupled electromagnetic wave propagation and bioheat transfer models.
Analysis of predicted temperature distribution, tumor destruction, and ablation margins.

Main Results:

Simulations demonstrated that extended ablation times beyond achieving adequate margins did not significantly improve tumor destruction but increased collateral tissue damage.
High overlap was observed between predicted and clinically achieved ablation zones, with Dice scores ranging from 0.73 to 0.86 across three patients.
Sensitivity and specificity values indicated good predictive accuracy for MWA outcomes.

Conclusions:

Patient-specific 3D models show significant potential for accurately predicting MWA-induced ablation zones in liver tumors.
These models can optimize MWA treatment strategies by providing pre-therapeutic insights, leading to more precise and effective liver tumor ablation.