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Haworth K, Salgaonkar VA, Corregan NM, et al. Spatial specificity and sensitivity of passive cavitation imaging for monitoring high-intensity focused ultrasound thermal ablation in ex vivo bovine liver. Proc Meet Acoust. 2013;19(1):075022doi: 10.1121/1.4800327.
Haworth, K., Salgaonkar, V. A., Corregan, N. M., Holland, C. K., & Mast, T. D. (2013). Spatial specificity and sensitivity of passive cavitation imaging for monitoring high-intensity focused ultrasound thermal ablation in ex vivo bovine liver. Proceedings of meetings on acoustics. Acoustical Society of America, 19(1), 075022. https://doi.org/10.1121/1.4800327
Haworth, Kevin, et al. "Spatial specificity and sensitivity of passive cavitation imaging for monitoring high-intensity focused ultrasound thermal ablation in ex vivo bovine liver." Proceedings of meetings on acoustics. Acoustical Society of America vol. 19,1 (2013): 075022. doi: https://doi.org/10.1121/1.4800327
Haworth K, Salgaonkar VA, Corregan NM, Holland CK, Mast TD. Spatial specificity and sensitivity of passive cavitation imaging for monitoring high-intensity focused ultrasound thermal ablation in ex vivo bovine liver. Proc Meet Acoust. 2013 Jun 02;19(1):075022. doi: 10.1121/1.4800327. PMID: 24817990; PMCID: PMC4013003.
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Proc Meet Acoust. 2013 Jun 02;19(1):075022. doi: 10.1121/1.4800327.

Spatial specificity and sensitivity of passive cavitation imaging for monitoring high-intensity focused ultrasound thermal ablation in ex vivo bovine liver.

Proceedings of meetings on acoustics. Acoustical Society of America

Kevin Haworth, Vasant A Salgaonkar, Nicholas M Corregan, Christy K Holland, T D Mast

PMID: 24817990 PMCID: PMC4013003 DOI: 10.1121/1.4800327

Abstract

Passive cavitation images (PCIs) generated from scattered acoustic waves are a potential technique for monitoring lesion formation during high-intensity focused ultrasound (HIFU) thermal ablation. HIFU lesion prediction by PCIs was assessed in ex vivo bovine liver samples (N=14) during 30-s sonications with 1.1-MHz continuous-wave ultrasound (1989 W/cm^2 estimated spatial-peak intensity). Treated samples were sectioned, optically scanned, and the HIFU lesions segmented based on tissue discoloration. During each insonation, a 192-element, 7-MHz linear array (L7/Iris 2, Ardent Sound) passively recorded emissions from a plane containing the HIFU propagation axis oriented parallel to the image azimuth direction. PCIs were formed from beamformed A-lines filtered into fundamental, harmonic, ultraharmonic, and inharmonic frequency bands. Lesion prediction was tested using binary classification of local tissue ablation based on thresholded PCIs, with spatial specificity and sensitivity of lesion prediction quantified by the area under receiver operating characteristic curves (AUROC). Tadpole-shaped lesions were best predicted by harmonic emissions (AUROC=0.76), prefocal lesions were best predicted by harmonic or ultraharmonic emissions (AUROC=0.86), and cigar-type focal lesions were best predicted by fundamental and harmonic emissions (AUROC=0.65). These results demonstrate spatial specificity and sensitivity when predicting HIFU lesions with PCIs.

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