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Echo Decorrelation Imaging of Rabbit Liver and VX2 Tumor during In Vivo Ultrasound Ablation.

Authors :
Fosnight TR
Hooi FM
Keil RD
Ross AP
Subramanian S
Akinyi TG
Killin JK
Barthe PG
Rudich SM
Ahmad SA
Rao MB
Mast TD
Source :
Ultrasound in medicine & biology [Ultrasound Med Biol] 2017 Jan; Vol. 43 (1), pp. 176-186. Date of Electronic Publication: 2016 Oct 04.
Publication Year :
2017

Abstract

In open surgical procedures, image-ablate ultrasound arrays performed thermal ablation and imaging on rabbit liver lobes with implanted VX2 tumor. Treatments included unfocused (bulk ultrasound ablation, N = 10) and focused (high-intensity focused ultrasound ablation, N = 13) exposure conditions. Echo decorrelation and integrated backscatter images were formed from pulse-echo data recorded during rest periods after each therapy pulse. Echo decorrelation images were corrected for artifacts using decorrelation measured prior to ablation. Ablation prediction performance was assessed using receiver operating characteristic curves. Results revealed significantly increased echo decorrelation and integrated backscatter in both ablated liver and ablated tumor relative to unablated tissue, with larger differences observed in liver than in tumor. For receiver operating characteristic curves computed from all ablation exposures, both echo decorrelation and integrated backscatter predicted liver and tumor ablation with statistically significant success, and echo decorrelation was significantly better as a predictor of liver ablation. These results indicate echo decorrelation imaging is a successful predictor of local thermal ablation in both normal liver and tumor tissue, with potential for real-time therapy monitoring.<br /> (Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1879-291X
Volume :
43
Issue :
1
Database :
MEDLINE
Journal :
Ultrasound in medicine & biology
Publication Type :
Academic Journal
Accession number :
27712923
Full Text :
https://doi.org/10.1016/j.ultrasmedbio.2016.08.025