Objective: To investigate the value of two-dimensional shear wave elastography (2D SWE) combined with clinical biochemical data in predicting posthepatoectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC). Methods: A total of 274 HCC patients who underwent hepatectomy in Zhongshan Hospital Fudan University from January 2015 to January 2016 were retrospectively collected, including 235 males and 39 females, age 19-80 (56±11) years. All patients were confirmed to be HCC by postoperative pathology. The preoperative 2D SWE examination, laboratory examination results and intraoperative indicators were analyzed. According to the occurrence of PHLF after surgery, single factor analysis and multiple logistic regression analysis were performed on the above indicators to obtain a binary logistic regression model, and evaluate the diagnostic effect of the model on PHLF. In addition, 103 HCC patients from October 2019 to January 2020 were retrospectively collected as an external validation set, including 89 males and 14 females, age 23-80 (55±11) years old. Results: The liver stiffness measurement (LSM) obtained from 2D SWE, INR and Laminin (LN) were independent predictors of PHLF. The formula of prediction model PM=-15.451+0.095×LSM+11.7×INR+0.012×LN was obtained by combining above three factors. The area under the curve (AUC) of PHLF was 0.82, which was higher than that of end-stage liver disease model (MELD) score and Child-Pugh grading diagnosis of PHLF. The AUC of PHLF predicted by PM in the external validation group was 0.81. Conclusion: 2D SWE is helpful for clinicians to evaluate liver reserve function preoperatively and to predict the occurrence of PHLF in patients with HCC.
目的： 探讨二维剪切波弹性成像（2D SWE）技术结合临床生化指标等资料预测原发性肝细胞癌（HCC）切除术后肝衰竭（PHLF）的价值。 方法： 回顾性收集2015年1月至2016年1月于复旦大学附属中山医院行肝切除术的274例患者，术后病理均证实为HCC，其中男235例，女39例，年龄19~80（56±11）岁。分析其术前2D SWE检查、实验室检查结果及术中各项指标，根据术后是否发生PHLF，对以上指标进行单因素分析及多因素logistic回归分析，得到二元logistic回归模型，评价该模型对PHLF的诊断效能。另外回顾性收集2019年10月至2020年1月的103例HCC患者作为外部验证组，其中男89例，女14例；年龄23~80（55±11）岁。 结果： 2D SWE所得的肝脏硬度测值（LSM）及国际标准化比值（INR）、层粘连蛋白（LN）是PHLF的独立预测因子，三者结合得到预测模型PM=-15.451+0.095×LSM+11.7×INR+0.012×LN，其诊断PHLF的受试者工作特征曲线下面积（AUC）为0.82，高于终末期肝病模型（MELD）评分及Child-Pugh分级诊断PHLF的AUC。外部验证组中PM预测PHLF的AUC为0.81。 结论： 2D SWE技术有助于临床医师术前评估肝脏储备功能，帮助预测原发性HCC患者PHLF的发生。.
Keywords: Hepatectomy; Hepatocellular carcinoma; Liver failure; Two-dimensional shear wave elastography.