BMC Gastroenterol. 2017 Dec 29;17(1):171. doi: 10.1186/s12876-017-0732-4.
Prediction of posthepatectomy liver failure using transient elastography in patients with hepatitis B related hepatocellular carcinoma.Lei JW1, Ji XY2, Hong JF1,3, Li WB4, Chen Y1, Pan Y5, Guo J6. Author information 1Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital (EHBH), Second Military Medical University, Shanghai, China.2People's Liberation Army Military Academy, Second Military Medical University, Shanghai, China.3Department of Ultrasound, FuZhou General Hospital (Dongfang Hospital), Xiamen University, Fuzhou, Fujian, China.4Department of Ultrasound, Shanghai First People's Hospital, Shanghai, China.5Department of Ultrasound, Yuhuangding Hospital, Yantai, Shandong, China.6Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital (EHBH), Second Military Medical University, Shanghai, China. [email protected].
AbstractBACKGROUND: It is essential to accurately predict Postoperative liver failure (PHLF) which is a life-threatening complication. Liver hardness measurement (LSM) is widely used in non-invasive assessment of liver fibrosis. The aims of this study were to explore the application of preoperative liver stiffness measurements (LSM) by transient elastography in predicting postoperative liver failure (PHLF) in patients with hepatitis B related hepatocellular carcinoma.
METHODS: The study included 247 consecutive patients with hepatitis B related hepatocellular carcinoma who underwent hepatectomy between May 2015 and September 2015. Detailed preoperative examinations including LSM were performed before hepatectomy. The endpoint was the development of PHLF.
RESULTS: All of the patients had chronic hepatitis B defined as the presence of hepatitis B surface antigen (HBsAg) for more than 6 months and 76 (30.8%) had cirrhosis. PHLF occurred in 37 (14.98%) patients. Preoperative LSM (odds ratio, OR, 1.21; 95% confidence interval, 95% CI: 1.13-1.29; P < 0.001) and international normalized ratio (INR) (OR, 1.07; 95% CI: 1.01-1.12; P < 0.05) were revealed to be independent risk factors for PHLF, and a new model was defined as LSM-INR index (LSM-INR index = 0.191*LSM + 6.317*INR-11.154). The optimal cutoff values of LSM and LSM-INR index for predicting PHLF were 14 kPa (AUC 0.86, 95% CI: 0.811-0.901, P < 0.001) and -1.92 (AUC 0.87, 95% CI: 0.822-0.909, P < 0.001), respectively.
CONCLUSIONS: LSM can be helpful for surgeons to make therapeutic decisions in patients with hepatitis B related hepatocellular carcinoma.