Image-based 3D modeling and validation of radiofrequency interstitial tumor ablation using a tissue-mimicking breast phantom

Wang, Zhigang, Aarya, Isshaa, Gueorguieva, Mariana, Liu, Dun, Luo, Hongyan, Manfredi, Luigi, Wang, Lijun, McLean, Donald, Coleman, Stuart, Brown, Stuart and Cuschieri, Alfred (2012) Image-based 3D modeling and validation of radiofrequency interstitial tumor ablation using a tissue-mimicking breast phantom. International Journal of Computer Assisted Radiology and Surgery, 7 6: 941-948. doi:10.1007/s11548-012-0769-3


Author Wang, Zhigang
Aarya, Isshaa
Gueorguieva, Mariana
Liu, Dun
Luo, Hongyan
Manfredi, Luigi
Wang, Lijun
McLean, Donald
Coleman, Stuart
Brown, Stuart
Cuschieri, Alfred
Title Image-based 3D modeling and validation of radiofrequency interstitial tumor ablation using a tissue-mimicking breast phantom
Journal name International Journal of Computer Assisted Radiology and Surgery   Check publisher's open access policy
ISSN 1861-6410
1861-6429
Publication date 2012-11-01
Sub-type Article (original research)
DOI 10.1007/s11548-012-0769-3
Open Access Status DOI
Volume 7
Issue 6
Start page 941
End page 948
Total pages 8
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Formatted abstract
Purpose: Minimally invasive treatment of solid cancers, especially in the breast and liver, remains clinically challenging, despite a variety of treatment modalities, including radiofrequency ablation (RFA), microwave ablation or highintensity focused ultrasound. Each treatment modality has advantages and disadvantages, but all are limited by placement of a probe or US beam in the target tissue for tumor ablation and monitoring. The placement is difficult when the tumor is surrounded by large blood vessels or organs. Patientspecific image-based 3D modeling for thermal ablation simulation was developed to optimize treatment protocols that improve treatment efficacy.

Methods: A tissue-mimicking breast gel phantom was used to develop an image-based 3D computer-aided design (CAD) model for the evaluation of a planned RF ablation. First, the tissue-mimicking gel was cast in a breast mold to create a 3D breast phantom, which contained a simulated solid tumor. Second, the phantom was imaged in a medical MRI scanner using a standard breast imaging MR sequence. Third, the MRimages were converted into a 3DCADmodel using commercial software (ScanIP, Simpleware), whichwas input into another commercial package (COMSOL Multiphysics) for RFAsimulation and treatment planning using a finite element method (FEM). For validation of the model, the breast phantom was experimentally ablated using a commercial (RITA) RFA electrode and a bipolar needle with an electrosurgi- cal generator (DRE ASG-300). The RFA results obtained by pre-treatment simulation were compared with actual experimental ablation.

Results: A 3D CAD model, created from MR images of the complex breast phantom, was successfully integrated with an RFA electrode to perform FEM ablation simulation. The ablation volumes achieved both in the FEM simulation and the experimental test were equivalent, indicating that patientspecific models can be implemented for pre-treatment planning of solid tumor ablation.

Conclusion: A tissue-mimicking breast gel phantom and its MR images were used to perform FEM 3D modeling and validation by experimental thermal ablation of the tumor. Similar patient-specific models can be created from preoperative images and used to perform finite element analysis to plan radiofrequency ablation. Clinically, the method can be implemented for pre-treatment planning to predict the effect of an individual's tissue environment on the ablation process, and this may improve the therapeutic efficacy.
Keyword Cancer treatment
FEM simulation
Image-based 3D modeling
Radiofrequency ablation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Advanced Imaging Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 06 Apr 2017, 01:00:31 EST by Web Cron on behalf of Learning and Research Services (UQ Library)