RESUMO
BACKGROUND: Despite continuous changes in treatment methods, the survival rate for advanced hepatocellular carcinoma (HCC) patients remains low, highlighting the importance of diagnostic methods for HCC. AIM: To explore the efficacy of texture analysis based on multi-parametric magnetic resonance (MR) imaging (MRI) in predicting microvascular invasion (MVI) in preoperative HCC. METHODS: This study included 105 patients with pathologically confirmed HCC, categorized into MVI-positive and MVI-negative groups. We employed Original Data Analysis, Principal Component Analysis, Linear Discriminant Analysis (LDA), and Non-LDA (NDA) for texture analysis using multi-parametric MR images to predict preoperative MVI. The effectiveness of texture analysis was determined using the B11 program of the MaZda4.6 software, with results expressed as the misjudgment rate (MCR). RESULTS: Texture analysis using multi-parametric MRI, particularly the MI + PA + F dimensionality reduction method combined with NDA discrimination, demonstrated the most effective prediction of MVI in HCC. Prediction accuracy in the pulse and equilibrium phases was 83.81%. MCRs for the combination of T2-weighted imaging (T2WI), arterial phase, portal venous phase, and equilibrium phase were 22.86%, 16.19%, 20.95%, and 20.95%, respectively. The area under the curve for predicting MVI positivity was 0.844, with a sensitivity of 77.19% and specificity of 91.67%. CONCLUSION: Texture analysis of arterial phase images demonstrated superior predictive efficacy for MVI in HCC compared to T2WI, portal venous, and equilibrium phases. This study provides an objective, non-invasive method for preoperative prediction of MVI, offering a theoretical foundation for the selection of clinical therapy.
RESUMO
Hepatic fibrosis, resulted from hepatoxicity and other diseases such as diabetes, is an important pathological characteristic of chronic liver diseases. Establishment of hepatic fibrosis animal models is of great importance and a prerequisite for human clinical studies. The common models for liver fibrosis are often established in lower small animals such as rats, but non-human primates are a much better model for human diseases because of the physiological similarity with humans. In this study, we investigated the method to induce liver fibrosis in cynomolgus monkeys using carbon tetrachloride (CCl4) and to establish a model that more closely mimics human liver fibrosis. We successfully established the liver fibrosis model in 15 of the 20 cynomolgus monkeys (success rate 75%), by CCl4 administration at a dose of 1.0 mL/kg (400 mL/L) twice a week. Liver biopsy showed that liver fibrosis progressed with time and gradually advanced into early-stage cirrhosis in 10 of the 15 established models at 16 weeks. Our study provides a better research platform for the prevention and treatment of chronic liver diseases.
