The incidence of complications after liver resection is closely related to functional future liver remnant (FLR). The standard approach to augment FLR is surgical or radiological occlusion of the artery or portal vein on the tumor side. Associated liver partition and portal vein ligation for staged hepatectomy (ALLPS) has been introduced as an alternative method to augment FLR. It offers rapid and effective hypertrophy for resecting liver metastases. However, data regarding its application in patients with hepatocellular carcinoma (HCC) with a background of chronic liver disease are limited. Here we describe the use of ALPPS procedure to manage a large solitary HCC with a background of chronic liver disease. The rising incidence of HCC has increased the number of surgical resections in patients with advanced stage liver disease not considered for liver transplantation. We reviewed reported experience of ALPPS in established chronic liver disease and current therapeutic modalities for HCC on a background of chronic liver disease in patients with potential liver insufficiency where tumor burden is beyond liver transplant criteria.
Arteries ; Carcinoma, Hepatocellular* ; Hepatectomy* ; Hepatic Insufficiency ; Humans ; Hypertrophy ; Incidence ; Ligation* ; Liver Cirrhosis ; Liver Diseases* ; Liver Transplantation ; Liver* ; Neoplasm Metastasis ; Portal Vein* ; Tumor Burden

Inflammation is the key driver of liver fibrosis progression in non-alcoholic fatty liver disease (NAFLD). Unfortunately, it is often challenging to assess inflammation in NAFLD due to its dynamic nature and poor correlation with liver biochemical markers. Liver histology keeps its role as the standard tool, yet it is well-known for substantial sampling, intraobserver, and interobserver variability. Serum proinflammatory cytokines and apoptotic markers, namely cytokeratin-18, are well-studied with reasonable accuracy, whereas serum metabolomics and lipidomics have been adopted in some commercially available diagnostic models. Ultrasound and computed tomography imaging techniques are attractive due to their wide availability; yet their accuracies may not be comparable with magnetic resonance imaging-based tools. Machine learning and deep learning models, be they supervised or unsupervised learning, are promising tools to identify various subtypes of NAFLD, including those with dominating liver inflammation, contributing to sustainable care pathways for NAFLD.

Background/Aims: Serum fibrosis scores comprised of common laboratory tests have high utility to assess severity of liver fibrosis. We aimed to derive and validate a hepatocellular carcinoma (HCC) risk score based on serum fibrosis scores to predict HCC in treatment-naïve chronic hepatitis B (CHB) patients. Methods: Fifteen thousand one hundred eighty-seven treatment-naïve adult CHB patients were identified to form the training cohort in this retrospective study. Individual fibrosis score was included to construct a new HCC prediction score. The score was externally validated in an independent treatment-naïve Korean CHB cohort. Results: 180/15,187 patients (1.2%) in training cohort and 47/4,286 patients (1.1%) in validation cohort developed HCC during a mean follow-up of 52 and 50 months, respectively. The newly developed HCC risk score, Liang score, is composed of gender, age, hepatitis B virus DNA, fibrosis-4 (FIB-4) index, and ranges from 0 to 22. Area under the time-dependent receiver operating characteristic curve of Liang score was 0.79 (95% confidence interval, 0.70–0.89). A cutoff value of nine provided an extremely high negative predictive value of 99.9% and high sensitivity of 90.0% at 5 years in the validation cohort. Patients with Liang score ≤9 had HCC incidence <0.2% per year in both training and validation cohorts, in whom HCC surveillance might be exempted. Conclusion A novel HCC risk score, Liang score, based on FIB-4 index, is applicable and accurate to identify treatment-naïve CHB patients with very low risk of HCC to be exempted from HCC surveillance.