4.6 Article

Modeling tissue-selective cavitation damage

期刊

PHYSICS IN MEDICINE AND BIOLOGY
卷 64, 期 22, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-6560/ab5010

关键词

cavitation; histotripsy; bubble dynamics; tissue damage; cavitation injury; cavitation in soft matter

资金

  1. NIH [5T32GM007863-38]
  2. ONR [N00014-18-1-2625]
  3. National Institute of Health under the National Cancer Institute [R01-CA-211217]

向作者/读者索取更多资源

The destructive growth and collapse of cavitation bubbles are used for therapeutic purposes in focused ultrasound procedures and can contribute to tissue damage in traumatic injuries. Histotripsy is a focused ultrasound procedure that relies on controlled cavitation to homogenize soft tissue. Experimental studies of histotripsy cavitation have shown that the extent of ablation in different tissues depends on tissue mechanical properties and waveform parameters. Variable tissue susceptibility to the large stresses, strains, and strain rates developed by cavitation bubbles has been suggested as a basis for localized liver tumor treatments that spare large vessels and bile ducts. However, field quantities developed within microns of cavitation bubbles are too localized and transient to measure in experiments. Previous numerical studies have attempted to circumvent this challenge but made limited use of realistic tissue property data. In this study, numerical simulations are used to calculate stress, strain, and strain rate fields produced by bubble oscillation under histotripsy forcing in a variety of tissues with literature-sourced viscoelastic and acoustic properties. Strain field calculations are then used to predict a theoretical damage radius using tissue ultimate strain data. Simulation results support the hypothesis that differential tissue responses could be used to design tissue-selective treatments. Results agree with studies correlating tissue ultimate fractional strain with resistance to histotripsy ablation and are also consistent with experiments demonstrating smaller lesion size under exposure to higher frequency waveforms. Methods presented in this study provide an approach for modeling tissue-selective cavitation damage in general.

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