Biomedical Engineering Program, University of Cincinnati, Cincinnati, Ohio, USA.
Ultrasound Med Biol. 2014 Jan;40(1):102-14. doi: 10.1016/j.ultrasmedbio.2013.09.007. Epub 2013 Nov 14.
Previous work indicated that ultrasound echo decorrelation imaging can track and quantify changes in echo signals to predict thermal damage during in vitro radiofrequency ablation (RFA). In the in vivo studies reported here, the feasibility of using echo decorrelation imaging as a treatment monitoring tool was assessed. RFA was performed on normal swine liver (N = 5), and ultrasound ablation using image-ablate arrays was performed on rabbit liver implanted with VX2 tumors (N = 2). Echo decorrelation and integrated backscatter were computed from Hilbert transformed pulse-echo data acquired during RFA and ultrasound ablation treatments. Receiver operating characteristic (ROC) curves were employed to assess the ability of echo decorrelation imaging and integrated backscatter to predict ablation. Area under the ROC curves (AUROC) was determined for RFA and ultrasound ablation using echo decorrelation imaging. Ablation was predicted more accurately using echo decorrelation imaging (AUROC = 0.832 and 0.776 for RFA and ultrasound ablation, respectively) than using integrated backscatter (AUROC = 0.734 and 0.494).
先前的工作表明，超声回波去相关成像是一种能够跟踪和量化回波信号变化的技术，可用于预测体外射频消融（RFA）过程中的热损伤。本研究报道了在体内应用该技术作为治疗监测工具的可行性。在正常猪肝脏（N=5）中进行 RFA，对 VX2 肿瘤兔肝脏应用图像消融阵列进行超声消融。在 RFA 和超声消融治疗过程中，对希尔伯特变换脉冲回波数据进行计算，得到回波去相关和积分反向散射。采用受试者工作特征（ROC）曲线评估回波去相关成像和积分反向散射预测消融的能力。使用回波去相关成像确定 RFA 和超声消融的 ROC 曲线下面积（AUROC）。与使用积分反向散射（AUROC=0.734 和 0.494）相比，使用回波去相关成像（AUROC=0.832 和 0.776）更能准确地预测消融。
