Monitoring ablation growth and determining treatment efficacy has become one of the most significant challenges facing thermal tumor ablation. Post-ablation imaging provides no way to monitor the ablation as it develops and current real time strategies fail to provide sufficient spatial resolution of the ablation zone. Without a means to monitor ablation growth, there is no way to prevent unintended thermal damage before it occurs, nor is it possible to alter the course of treatment at the most effective times. In this application, we will begin to develop, optimize and validate a new treatment monitoring technique using technology already available on most scanners using periodic contrast-enhanced computed- tomography (CECT). Periodic CECT will allow monitoring at several time points during the course of treatment while minimizing the total contrast load to the patient. Specifically, we propose to: 1. Measure the uptake and transport of contrast media during thermal ablation Here we will measure the retention or expulsion of contrast media in normal liver and kidney, and two tumor models during ablation. 2. Optimize administration of contrast media and image acquisition parameters for ablation monitoring with periodic CECT In this aim we will characterize periodic CECT during thermal ablation and optimize scan timing, radiation dose and contrast infusion rate using simplex methods. 3. Automate HYPR processing for periodic CECT ablation monitoring.
This aim will focus on developing applicator discovery, block matching and registration algorithms to facilitate automated HYPR processing during each imaging sequence. 4. Validate the periodic CECT technique with histopathology and standard CECT In this aim the validity of periodic CECT will be verified by comparing the imaging appearance and histopathology of ablations created in normal liver and kidney, and two tumor models.

Public Health Relevance

This proposal addresses one of the most challenging aspects of tumor ablation today: adequate procedure monitoring. Using periodic contrast-enhanced CT and HYPR reconstruction, we plan to create and optimize a simple ablation monitoring technique that makes use of common technology in every imaging center, minimizes radiation and contrast dose, and provides high-quality images for periodic ablation monitoring and improved assessment of treatment success.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA149379-02
Application #
8110637
Study Section
Radiation Therapeutics and Biology Study Section (RTB)
Program Officer
Farahani, Keyvan
Project Start
2010-07-12
Project End
2014-04-30
Budget Start
2011-05-01
Budget End
2012-04-30
Support Year
2
Fiscal Year
2011
Total Cost
$295,769
Indirect Cost
Name
University of Wisconsin Madison
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
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Liu, Dong; Brace, Christopher L (2017) Numerical simulation of microwave ablation incorporating tissue contraction based on thermal dose. Phys Med Biol 62:2070-2086
Wu, Po-Hung; Borden, Zachary; Brace, Christopher L (2017) Ablation zone visualization enhancement by periodic contrast-enhancement computed tomography during microwave ablation. Med Phys 44:2132-2140
Wu, Po-Hung; Brace, Chris L (2016) Analysis of iodinated contrast delivered during thermal ablation: is material trapped in the ablation zone? Phys Med Biol 61:6041-54
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Lubner, Meghan G; Ziemlewicz, Tim J; Hinshaw, J Louis et al. (2014) Creation of short microwave ablation zones: in vivo characterization of single and paired modified triaxial antennas. J Vasc Interv Radiol 25:1633-40
Hinshaw, J Louis; Lubner, Meghan G; Ziemlewicz, Timothy J et al. (2014) Percutaneous tumor ablation tools: microwave, radiofrequency, or cryoablation--what should you use and why? Radiographics 34:1344-62
Knavel, Erica M; Brace, Christopher L (2013) Tumor ablation: common modalities and general practices. Tech Vasc Interv Radiol 16:192-200
Chiang, Jason; Wang, Peng; Brace, Christopher L (2013) Computational modelling of microwave tumour ablations. Int J Hyperthermia 29:308-17

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