This research project is part of a larger, long-term effort to develop a minimally invasive and cost-effective method to ablate solid tumors using interventional MRI (iMRI) to guide and monitor therapy. A low-field, open magnet system is used to guide the tip of an ablation probe into the tumor and to monitor tissue destruction during the ablation procedure. Ablation occurs by heating from a radiofrequency (RF) energy source at the probe tip. Not only does MR provide tumor visualization, it can reveal the thermal lesion in various acquisition sequences (T2, STIR, etc.) and measure temperature changes. Potentially, these measurements can be used during clinical ablation procedures to determine tumor cell death and to minimize damage to normal surrounding tissue. The research addresses how well these MR measurements predict the actual tissue response. In this proposal, the applicants propose to address this issue using animal models. They will develop three-dimensional techniques to accurately register and correlate MR images with gross pathology and histology techniques. Ultimately, the goal will be to quantitatively predict cell damage and death using MR image acquisition and analysis methods, and a probabilistic state model that accounts for the cellular response to temperature history. With this research, the applicants expect to establish an analysis paradigm suitable for many future studies of contrast agents, ablation techniques, localized drug release, and other iMRI-guided therapies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA084433-01
Application #
6041681
Study Section
Special Emphasis Panel (ZRG1-DMG (04))
Program Officer
Croft, Barbara
Project Start
2000-06-01
Project End
2004-05-31
Budget Start
2000-06-01
Budget End
2001-05-31
Support Year
1
Fiscal Year
2000
Total Cost
$372,356
Indirect Cost
Name
Case Western Reserve University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
Breen, Michael S; Breen, Miyuki; Butts, Kim et al. (2007) MRI-guided thermal ablation therapy: model and parameter estimates to predict cell death from MR thermometry images. Ann Biomed Eng 35:1391-403
Breen, Michael S; Lancaster, Tanya L; Wilson, David L (2005) Correcting spatial distortion in histological images. Comput Med Imaging Graph 29:405-17
Lazebnik, Roee S; Weinberg, Brent D; Breen, Michael S et al. (2005) Semiautomatic parametric model-based 3D lesion segmentation for evaluation of MR-guided radiofrequency ablation therapy. Acad Radiol 12:1491-501
Breen, Michael S; Lazebnik, Roee S; Wilson, David L (2005) Three-dimensional registration of magnetic resonance image data to histological sections with model-based evaluation. Ann Biomed Eng 33:1100-12
Lewin, Jonathan S; Nour, Sherif Gamal; Connell, Cindy F et al. (2004) Phase II clinical trial of interactive MR imaging-guided interstitial radiofrequency thermal ablation of primary kidney tumors: initial experience. Radiology 232:835-45
Breen, Michael S; Lazebnik, Roee S; Nour, Sherif G et al. (2004) Three-dimensional comparison of interventional MR radiofrequency ablation images with tissue response. Comput Aided Surg 9:185-91
Breen, Michael S; Lazebnik, Roee S; Fitzmaurice, Maryann et al. (2004) Radiofrequency thermal ablation: correlation of hyperacute MR lesion images with tissue response. J Magn Reson Imaging 20:475-86
Nour, Sherif Gamal; Lewin, Jonathan S; Gutman, Michael et al. (2004) Percutaneous MR imaging-guided radiofrequency interstitial thermal ablation of tongue base in porcine models: implications for obstructive sleep apnea syndrome. Radiology 230:359-68
Lazebnik, Roee S; Breen, Michael S; Lewin, Jonathan S et al. (2004) Automatic model-based evaluation of magnetic resonance-guided radio frequency ablation lesions with histological correlation. J Magn Reson Imaging 19:245-54
Fei, Baowei; Kemper, Corey; Wilson, David L (2003) A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. Comput Med Imaging Graph 27:267-81

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