In vivo thermal ablation monitoring by echo decorrelation imaging
In vivo thermal ablation monitoring by echo decorrelation imaging
复制标题
通过回波去相关成像进行体内热消融监测
DOI：
10.1063/1.4757364
复制
发表时间：
2012
影响因子：
2.3
通讯作者：
T. D. Mast
中科院分区：
文献类型：
--
作者：
S. Subramanian;S. Rudich;Amel Alqadah;Chandra Karunakaran;T. D. Mast
在此报告的研究中，测试了回声去相关成像预测体内热消融的能力。对正常猪肝脏（N=5）进行射频消融（RFA），对植入 VX2 肿瘤的兔子（N=3）进行使用图像消融阵列的超声消融。回波去相关成像能够以高精度预测射频消融和超声消融的消融和过度治疗。通过比较有治疗和无治疗的平均累积去相关来研究组织运动的影响。发现治疗后的平均累积去相关性显着大于未治疗时的平均累积去相关性（RFA 的 p=0.0347，超声消融的 p=0.024）。使用受试者工作特征曲线测试消融预测的准确性，ROC 曲线下面积 (AUROC) 对于 RFA 的消融和过度治疗具有显着性 (N=5)。然而，AUROC 仅对于检测超声消融具有重要意义......
In the studies reported here, the ability of echo decorrelation imaging to predict thermal ablation in vivo is tested. Radiofrequency ablation (RFA) was performed on a normal swine liver (N=5) and ultrasound ablation using image-ablate arrays was performed on a rabbit implanted with VX2 tumors (N=3). Echo decorrelation imaging was able to predict ablation and overtreatment with high accuracy for both RFA and ultrasound ablation. The effect of tissue motion was studied by comparing the mean cumulative decorrelation with and without treatment. The mean cumulative decorrelation with treatment was found to be significantly greater than the mean cumulative decorrelation without treatment (p=0.0347 for RFA, p=0.024 for ultrasound ablation). The accuracy of ablation predictions was tested using receiver operating characteristic curves and the area under the ROC curve (AUROC) was significant for ablation and overtreatment for RFA (N=5). However, the AUROC was significant for only detecting ablation for the ultras...