| 摘要: |
| 目的：探索声速匹配技术与超声剪切波弹性技术鉴别原发性肝癌与肝血管瘤的价值。方法：回顾性分析在2019年2月至2020年8月期间选取的63例肝血管瘤(血管瘤组)患者、41例原发性肝癌(肝癌组)患者,均进行超声剪切波弹性技术、声速匹配技术检测,对比良恶性肿块的超声影像表现为血流信号分级,再比较两组患者Vmax值、Vmean值、超声剪切波弹性成像值、ZSI值,并用ROC曲线分析上述数值预测价值。结果：肝癌组肿块以Ⅱ-Ⅲ级血流信号为主,内部回声不均匀,形态不规则,边界不清晰,表现为低回声；血管瘤组肿块以0-Ⅰ级血流信号为主,形态规则,边界清晰,内部回声均匀。SSC技术和SWE技术检测到的超声表现、血流信号分级无统计学差异性(P＞0.05),肝癌组患者ZSI值、超声剪切波弹性成像值、Vmax、Vmean值高于血管瘤组(P＜0.05),ROC曲线分析显示,ZSI值、超声剪切波弹性成像值、Vmax、Vmean以及四项联合在分辨良恶性肿块时预测AUC分别为0.903、0.885、0.905、0.936、0.989。结论：声速匹配技术与超声剪切波弹性技术在鉴别肝血管瘤、原发性肝癌时均具有一定效能,但两者结合运用,更好降低误诊率,可为临床诊疗提供科学依据。 |
| 关键词: 原发性肝癌 肝血管瘤 声速匹配技术 超声剪切波弹性技术 鉴别 |
| DOI： |
| 投稿时间：2021-06-05修订日期：2022-03-22 |
| 基金项目: |
|
| Value of velocity matching and shear wave viscoelasticity in differentiating primary liver cancer from hepatic hemangioma |
| Ye Lihong,Qin Qingxiu,Liu Shunhui |
| () |
| Abstract: |
| : Objective: Explore the value of sound velocity matching technology and ultrasonic shear wave elasticity technology in distinguishing primary liver cancer from liver hemangioma. Methods: A retrospective analysis of 63 patients with hepatic hemangioma (hemangioma group) and 41 patients with primary liver cancer (liver cancer group) selected from February 2019 to August 2020, all underwent ultrasonic shear wave elasticity technology , Sound velocity matching technology detection, compare the ultrasound images of benign and malignant masses as blood flow signal classification, then compare the two groups of patients Vmax, Vmean, ultrasonic shear wave elastography, ZSI, and use ROC curve to analyze the above-mentioned numerical prediction value . Results: The tumors in the liver cancer group were dominated by grade Ⅱ-Ⅲ blood flow signals, the internal echo was uneven, the shape was irregular, the boundary was not clear, and the appearance was hypoechoic; the tumors in the hemangioma group were dominated by grade 0-Ⅰ blood flow signals with morphology Rules, clear boundaries, uniform internal echo. The ultrasound performance and blood flow signal grades detected by SSC technology and SWE technology were not statistically different (P>0.05). The ZSI value, ultrasound shear wave elastography value, Vmax and Vmean values ??of patients in the liver cancer group were higher than those in the hemangioma group ( P<0.05), ROC curve analysis showed that ZSI value, ultrasonic shear wave elastography value, Vmax, Vmean and the combination of four items predicted AUC of 0.903, 0.885, 0.905, 0.936, 0.989 when distinguishing benign and malignant masses, respectively. Conclusion: Sound velocity matching technology and ultrasonic shear wave elasticity technology have certain effectiveness in distinguishing hepatic hemangioma and primary liver cancer, but the combination of the two can better reduce the misdiagnosis rate and provide scientific basis for clinical diagnosis and treatment. |
| Key words: : primary liver cancer Hepatic hemangioma Sound velocity matching technology Ultrasonic shear wave viscoelastic technique identify |
