Progressive liver fibrosis may result in cirrhosis, portal hypertension and increased risk of hepatocellular carcinoma. We performed a meta-analysis to compare liver fibrosis staging in chronic liver disease patients using 2-D shear wave elastography (2-D SWE) and point shear wave elastography (pSWE). The PubMed, Web of Science and Cochrane Library databases were searched until May 31, 2020 for studies evaluating the diagnostic performance of 2-D SWE and pSWE in assessing liver fibrosis. Pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratios and area under receiver operating characteristic curve were estimated using the bivariate random effects model. As a result, 71 studies with 11,345 patients were included in the analysis. The pooled sensitivities of 2-D SWE and pSWE significantly differed for the detection of significant fibrosis (F 2; 0.84 vs. 0.76, p < 0.001) and advanced fibrosis (F 3; 0.90 vs. 0.83, p = 0.003), but not for detection of cirrhosis (F = 4; 0.89 vs. 0.85, p = 0.090). The pooled specificities of 2-D SWE and pSWE did not significantly differ for detection of F 2 (0.81 vs. 0.79, p = 0.753), F 3 (0.87 vs. 0.83, p = 0.163) or F = 4 (0.87 vs. 0.84, p = 0.294). Both 2-D SWE and pSWE have high sensitivity and specificity for detecting each stage of liver fibrosis. Two-dimensional SWE has higher sensitivity than pSWE for detection of significant fibrosis and advanced fibrosis.

BackgroundAssociating liver partition and portal vein ligation for staged hepatectomy (ALPPS) can induce a stronger regenerative ability than traditional 2-stage hepatectomy (TSH). ALPPS has become popular for achieving fast hypertrophy in patients with an insufficient future liver remnant (FLR). However, ALPPS is associated with high morbidity and mortality. Partial ALPPS is a variation that may decrease the morbidity and mortality. The purpose of this study was to perform a meta-analysis comparing outcomes of ALLPS and partial ALLPS.MethodsPubMed, Embase, and Cochrane Library databases were searched for studies comparing partial ALPPS and complete ALPPS up to April 2019. Included studies were assessed by the Newcastle-Ottawa Scale (NOS). Weighted mean difference (WMD)/standard mean difference (SMD) and odds ratios (OR) with 95% confidence intervals (CIs) were calculated to compare FLR, time interval between stages, postoperative complications, and mortality between partial and complete ALPPS.ResultsFour studies including 124 patients were included. FLR hypertrophy of partial ALPPS was comparable to complete ALPPS (p = 0.09). The time interval between stages was not different between the 2 procedures (p = 0.57). The postoperative complications rate of partial ALPPS was significantly lower than that of complete ALPPS (OR = 0.38; p = 0.03). The mortality rate of partial ALLPS (4.9%) was lower than that of complete ALLPS (18.9%), but the difference was not significant (OR = 0.37; p = 0.12).ConclusionsPartial ALLPS is associated with similar FLR hypertrophy and time interval between stages as complete ALLPS, and a lower complication rate. Further studies are needed to examine patient selection and outcomes of the 2 procedures.

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Background: Hepatocellular carcinoma (HCC) is one of the most common aggressive solid malignant tumors and current research regards HCC as a type of metabolic disease. This study aims to establish a metabolism-related mRNA signature model for risk assessment and prognosis prediction in HCC patients.Methods: HCC data were obtained from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC) and Gene Enrichment Analysis (GSEA) website. Least absolute shrinkage and selection operator (LASSO) was used to screen out the candidate mRNAs and calculate the risk coefficient to establish the prognosis model. A high-risk group and low-risk group were separated for further study depending on their median risk score. The reliability of the prediction was evaluated in the validation cohort and the whole cohort.Results: A total of 548 differential mRNAs were identified from HCC samples (n = 374) and normal controls (n = 50), 45 of which were correlated with prognosis. A total of 373 samples met the screening criteria and there were randomly divided into the training cohort (n = 186) and the validation cohort (n = 187). In the training cohort, six metabolism-related mRNAs were used to construct a prognostic model with a LASSO regression model. Based on the risk model, the overall survival rate of the high-risk cohort was significantly lower than that of the low-risk cohort. The results of a time-ROC curve proved that the risk score (AUC = 0.849) had a higher prognostic value than the pathological grade, clinical stage, age or gender.Conclusion: The model constructed by the six metabolism-related mRNAs has a significant value for survival prediction and can be applied to guide the evaluation of HCC and the designation of clinical therapy.

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