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Published on: March 3, 2023
Computer-assisted needle positioning for liver tumour radiofrequency ablation (RFA)
Laurent Mundeleer1, David Wikler, Thierry Leloup
1Laboratory of Image Synthesis and Analysis, Université Libre de Bruxelles, 50 Avenue F. Roosevelt, Brussels, Belgium. lmundele@ulb.ac.be
Summary
New optimization techniques improve radiofrequency ablation (RFA) tumor removal by ensuring precise electrode placement and complete tumor coverage. This enhances surgical accuracy and effectiveness for better patient outcomes.
Area of Science:
- Medical technology
- Surgical innovation
- Oncology
Background:
- Radiofrequency ablation (RFA) requires precise electrode positioning for complete tumor destruction.
- Current RFA procedures face challenges in optimizing tumor coverage and ensuring accurate electrode placement.
Purpose of the Study:
- To present novel optimization techniques for improving RFA surgical procedures.
- To enhance tumor coverage and precision in RFA treatments.
Main Methods:
- Development of a method to optimize tumor coverage using successive RFA destructions.
- Implementation of an in vitro procedure with simulated tumors for testing.
Main Results:
- A guidance system and optimization coverage method were tested on 3D simulations and in vitro on a heifer liver.
- The RFA electrode was optically tracked and guided during the in vitro procedure.
Conclusions:
- The optimization method ensures theoretical complete tumor ablation through precise needle placements.
- The guidance system effectively assists surgeons in reaching planned destruction positions.
