Histotripsy is the controlled use of ultrasound cavitation to mechanically fractionate tissue volumes noninvasively under image guidance. With an appropriate understanding of the dynamics of bubble cloud initiation and extinction, a precise volume of tissue can be fractionated with very narrow boundaries between normal and affected tissue. Since the fractionation occurs at the tissue, cellular, and molecular levels, the results are easily seen by both ultrasound and MR imaging. Moreover, the degree of fractionation is correlated with survival of cells in the treated volume. As fractionation (or liquefaction) progresses, the amount of backscattered sound decreases as well a cell survival. Eventually, when the tissue is highly fractionated, no recognizable cellular organelles can be observed, even with electron microscopy, and the homogenized tissue looks like a fluid with few remaining ultrasound scattering particles. Since the effects of histotripsy are apparent in standard images both during and after treatment, the opportunity to develop image based feedback schemes correlating image parameters with eventual clinical outcomes is obvious. Unlike many other ablation techniques, the imaging based feedback approaches proposed herein can now be developed on a rational basis since the tissue effects can be easily seen and characterized by histological analysis and chronic animal studies where some clinical "outcome" can be determined. Thus, we will develop methods to predict clinical outcome from image parameters available both during and after treatment. This will provide an answer to the critical question for most noninvasive ablative technologies, i.e., when should the treatment be stopped and what will be the spatial extent of the desired treatment? Development of these image guidance techniques could result in a significant transformation in the effectiveness of ablative therapies in a wide range of clinical applications, e.g., prostate cancer, benign prostatic hyperplasia (BPH), breast cancer, fibroadenomas of the breast, liver cancer and metastases, kidney cancer, uterine fibroids, thrombolysis, cardiac ablations for arrhythmia control, lung and brain cancer (under certain conditions), treatment of infected wounds and abscesses, etc.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA134579-05
Application #
8274879
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Tandon, Pushpa
Project Start
2008-08-04
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2014-05-31
Support Year
5
Fiscal Year
2012
Total Cost
$464,137
Indirect Cost
$159,005
Name
University of Michigan Ann Arbor
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Vlaisavljevich, Eli; Maxwell, Adam; Warnez, Matthew et al. (2014) Histotripsy-induced cavitation cloud initiation thresholds in tissues of different mechanical properties. IEEE Trans Ultrason Ferroelectr Freq Control 61:341-52
Lin, Kuang-Wei; Duryea, Alexander P; Kim, Yohan et al. (2014) Dual-beam histotripsy: a low-frequency pump enabling a high-frequency probe for precise lesion formation. IEEE Trans Ultrason Ferroelectr Freq Control 61:325-40
Kim, Yohan; Maxwell, Adam D; Hall, Timothy L et al. (2014) Rapid prototyping fabrication of focused ultrasound transducers. IEEE Trans Ultrason Ferroelectr Freq Control 61:1559-74
Kim, Y; Vlaisavljevich, E; Owens, G E et al. (2014) In vivo transcostal histotripsy therapy without aberration correction. Phys Med Biol 59:2553-68
Lin, Kuang-Wei; Kim, Yohan; Maxwell, Adam D et al. (2014) Histotripsy beyond the intrinsic cavitation threshold using very short ultrasound pulses: microtripsy. IEEE Trans Ultrason Ferroelectr Freq Control 61:251-65
Lin, Kuang-Wei; Hall, Timothy L; McGough, Robert J et al. (2014) Synthesis of monopolar ultrasound pulses for therapy: the frequency-compounding transducer. IEEE Trans Ultrason Ferroelectr Freq Control 61:1123-36
Vlaisavljevich, Eli; Kim, Yohan; Owens, Gabe et al. (2014) Effects of tissue mechanical properties on susceptibility to histotripsy-induced tissue damage. Phys Med Biol 59:253-70
Wang, Tzu-Yin; Hall, Timothy L; Xu, Zhen et al. (2014) Imaging feedback for histotripsy by characterizing dynamics of acoustic radiation force impulse (ARFI)-induced shear waves excited in a treated volume. IEEE Trans Ultrason Ferroelectr Freq Control 61:1137-51
Miller, Ryan M; Kim, Yohan; Lin, Kuang-Wei et al. (2013) Histotripsy cardiac therapy system integrated with real-time motion correction. Ultrasound Med Biol 39:2362-73
Vlaisavljevich, Eli; Kim, Yohan; Allen, Steven et al. (2013) Image-guided non-invasive ultrasound liver ablation using histotripsy: feasibility study in an in vivo porcine model. Ultrasound Med Biol 39:1398-409

Showing the most recent 10 out of 16 publications