Bulk ablation of soft tissue with intense ultrasound: modeling and experiments.
Methods for the bulk ablation of soft tissue using intense ultrasound, with potential applications in the thermal treatment of focal tumors, are presented. An approximate analytic model for bulk ablation predicts the progress of ablation based on tissue properties, spatially averaged ultrasonic heat deposition, and perfusion. The approximate model allows the prediction of threshold acoustic powers required for ablation in vivo as well as the comparison of cases with different starting temperatures and perfusion characteristics, such as typical in vivo and ex vivo experiments. In a full three-dimensional numerical model, heat deposition from array transducers is computed using the Fresnel approximation and heat transfer in tissue is computed by finite differences, accounting for heating changes caused by boiling and thermal dose-dependent absorption. Similar ablation trends due to perfusion effects are predicted by both the simple analytic model and the full numerical model. Comparisons with experimental results show the efficacy of both models in predicting tissue ablation effects. Phenomena illustrated by the simulations and experiments include power thresholds for in vivo ablation, differences between in vivo and ex vivo lesioning for comparable source conditions, the effect of tissue boiling and absorption changes on ablation depth, and the performance of a continuous rotational scanning method suitable for interstitial bulk ablation of soft tissue.
Mast
T Douglas
TD
Ethicon Endo-Surgery, 4545 Creek Rd., Cincinnati, Ohio 45242, USA. doug.mast@uc.edu
Makin
Inder Raj S
IR
Faidi
Waseem
W
Runk
Megan M
MM
Barthe
Peter G
PG
Slayton
Michael H
MH
D000818:Animals; D016063:Blood Loss, Surgical / Q000517:prevention & control; D002417:Cattle; D006801:Humans; D066298:In Vitro Techniques; D008099:Liver / Q000601:surgery*; D008954:Models, Biological; D009369:Neoplasms / Q000601:surgery*; D013552:Swine; D014159:Transducers; D014464:Ultrasonic Therapy / Q000379:methods*