Change in arterial tumor perfusion is an early biomarker of lenvatinib efficacy in patients with unresectable hepatocellular carcinoma.

BACKGROUND: Lenvatinib is one of the first-line tyrosine kinase inhibitors used for unresectable hepatocellular carcinoma (HCC). In the present study, we evaluated the potential of early changes in the time-intensity curve (TIC) of arterial phase on contrast-enhanced ultrasound (CEUS) as early imaging biomarkers of lenvatinib efficacy. AIM: To evaluate the potential of the early changes in the TIC of CEUS as early imaging biomarkers of lenvatinib efficacy in patients with unresectable HCC. METHODS: We analyzed 20 consecutive patients with unresectable HCC treated with lenvatinib from March to November 2018. Tumor response at 8 wk was assessed by computed tomography using the modified Response Evaluation Criteria in Solid Tumors (mRECIST). CEUS was performed at baseline before treatment (Day 0) and on day 7 (Day 7), and the images were analyzed in the arterial phase for 20 seconds after the contrast agent arrived at the target tumor. Three perfusion parameters were extracted from the TICs: the slope of wash-in (Slope), time to peak (TTP) intensity, and the total area under the curve (AUC) during wash-in. The rate of change in the TIC parameters between Day 0 and Day 7 was compared between treatment responders and non-responders based on mRECIST. RESULTS: The rate of change for all TIC parameters showed significant differences between the responders (n = 9) and non-responders (n = 11) (Slope, P = 0.025; TTP, P = 0.004; and AUC, P = 0.0003). The area under the receiver operating curve values for slope, TTP, and AUC for the prediction of responders were 0.805, 0.869, and 0.939, respectively. CONCLUSION: CEUS may be useful for the early prediction of tumor response to lenvatinib therapy in patients with unresectable HCC.

Occurrence of hepatocellular carcinoma 24 years after successful interferon therapy in a patient with chronic hepatitis C: a case report.

An 82-year-old man presented with hepatocellular carcinomas (HCCs) 24 years after achieving a sustained virological response (SVR) to an interferon for hepatitis C. His hepatic fibrosis stage was F1 when he was treated at 58 years. He was followed-up by annual blood tests and abdominal ultrasonography or computed tomography. After the IFN treatment, he had drunk approximately 100 g of ethanol. Serum aspartate aminotransferase and gamma-glutamyl transpeptidase levels had been elevated since 2012. To investigate the possible factors that affect hepatocarcinogenesis over 10 years after achieving an SVR, we reviewed the literature. Of 39 reported patients, 26, as well as ours, had one or more lifestyle-related factors, including body mass index ≥ 25 kg/m2, diabetes mellitus, impaired glucose tolerance, hepatosteatosis, or alcohol consumption. In our patient, aging and daily alcohol consumption might have triggered the development of HCCs.

Evaluation of ballooned hepatocytes as a risk factor for future progression of fibrosis in patients with non-alcoholic fatty liver disease.

BACKGROUND: The prevalence of non-alcoholic fatty liver disease (NAFLD) has increased. Non-alcoholic steatohepatitis (NASH) shows progression of liver fibrosis in NAFLD. It remains unclear which patients with NAFLD will show progression of liver fibrosis. Therefore, we aimed to investigate the risk factor associated with the progression of liver fibrosis among patients with NAFLD. METHODS: This observational study enrolled 157 patients with biopsy-proven NAFLD. Thirty-two patients were excluded because of lack of data. The accuracy of the formulae for estimating liver fibrosis, i.e., the FIB-4 index, APRI, and Forns index, was compared. Using serial changes of the best formula for liver fibrosis, we identified factors associated with the progression of liver fibrosis. Histological liver fibrosis was quantified using the Brunt stage. RESULTS: Sixty-three patients were diagnosed as having NASH. The FIB-4 index provided the best diagnostic accuracy for liver fibrosis [Brunt stage 0 versus 1-4, areas under the curve (AUC) 0.74; 0-1 versus 2-4, AUC 0.77; 0-2 versus 3-4, AUC 0.78; and 1-3 versus 4, AUC 0.87]. The association between body mass index, sex, observation period, and histological findings (liver fat content, bridging fibrosis, and hepatocyte ballooning) with the change in the FIB-4 index was evaluated among patients with NASH, using multivariate analysis. Among these factors, hepatocyte ballooning was associated with an increase in the FIB-4 index. CONCLUSION: The FIB-4 index was the best formula for estimating liver fibrosis in patients with biopsy-proven NAFLD, and the presence of ballooned hepatocytes was a risk factor for the progression of liver fibrosis.