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Modeling tissue-selective cavitation damage

Mancia, Lauren and Vlaisavljevich, Eli and Yousefi, Nyousha and Rodriguez, Mauro and Ziemlewicz, Timothy J. and Lee, Fred T. and Henann, David and Franck, Christian and Xu, Zhen and Johnsen, Eric (2019) Modeling tissue-selective cavitation damage. Physics in Medicine and Biology, 64 (22). Art. No. 225001. ISSN 0031-9155. https://resolver.caltech.edu/CaltechAUTHORS:20191028-150100328

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Abstract

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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1088/1361-6560/ab5010DOIArticle
ORCID:
AuthorORCID
Mancia, Lauren0000-0003-4366-1944
Vlaisavljevich, Eli0000-0002-4097-6257
Ziemlewicz, Timothy J.0000-0002-7033-1062
Henann, David0000-0002-1497-4143
Additional Information:© 2019 Institute of Physics and Engineering in Medicine. Received 25 July 2019; Revised 8 October 2019; Accepted 22 October 2019; Accepted Manuscript online 22 October 2019.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-18-1-2625
NIH Predoctoral Fellowship5T32GM007863-38
NIHR01-CA-211217
Issue or Number:22
Record Number:CaltechAUTHORS:20191028-150100328
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191028-150100328
Official Citation:Lauren Mancia et al 2019 Phys. Med. Biol. 64 225001
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99499
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Oct 2019 23:00
Last Modified:15 Nov 2019 18:46

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