Dynamics of MRI-Guided Thermal Ablation of VX2 Tumor in Paraspinal Muscle of Rabbits

This study combines fast magnetic resonance imaging (MRI) and model simulation of tissue thermal ablation for monitoring and predicting the dynamics of lesion size for tumor destruction. In vivo experiments were conducted using radiofrequency (RF) thermal ablation in paraspinal muscle of rabbit with...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2008-03, Vol.55 (3), p.1004-1014
Main Authors: Chen, Xin, Barkauskas, Kestutis J., Weinberg, Brent D., Duerk, Jeffrey L., Abdul-Karim, Fadi W., Paul, Simi, Saidel, Gerald M
Format: Article
Language:English
Subjects:
Algorithms
Animals
Computer Simulation
Fast magnetic resonance imaging (MRI)
fast simulation
Hyperthermia, Induced - methods
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
In vivo
Information Storage and Retrieval - methods
lesion monitoring
Lesions
Magnetic resonance imaging
Magnetic Resonance Imaging, Interventional - methods
Models, Biological
Monitoring
Muscle Neoplasms - pathology
Muscle Neoplasms - therapy
Muscles
Neoplasms
Predictive models
pretreatment planning
Rabbits
Radio frequency
radio frequency (RF) thermal ablation
Reproducibility of Results
Sensitivity and Specificity
Temperature distribution
tissue temperature distribution
Treatment Outcome
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Summary:This study combines fast magnetic resonance imaging (MRI) and model simulation of tissue thermal ablation for monitoring and predicting the dynamics of lesion size for tumor destruction. In vivo experiments were conducted using radiofrequency (RF) thermal ablation in paraspinal muscle of rabbit with a VX2 tumor. Before ablation, turbo-spin echo (TSE) images visualized the 3-D tumor (necrotic core and tumor periphery) and surrounding normal tissue. MR gradient-recalled echo (GRE) phase and magnitude images were acquired repeatedly in 3.3 s at 30-s intervals during and after thermal ablation to follow tissue temperature distribution dynamics and lesion development in tumor and surrounding normal tissue. Final lesion sizes estimated from GRE magnitude, post-ablation TSE, and stained histologic images were compared. Model simulations of temperature distribution and lesion development dynamics closely corresponded to the experimental data from MR images in tumor and normal tissue. The combined use of MR image monitoring and model simulation has the potential for improving pretreatment planning and real-time prediction of lesion-size dynamics for guidance of thermal ablation of tumors.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2008.915694