Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Liver Stiffness Measurement (LSM) in Predicting Progress of Liver Fibrosis After TACE for Hepatocellular Carcinoma

Nanfang Hospital, Southern Medical University · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
Open Source ↗
hepatocellular-carcinoma
Objective: To evaluate the efficacy of preoperative liver stiffness measurement(LSM) by FibroScan in predicting the progress of liver fibrosis and prognosis after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma (HCC). Background: Progress of liver fibrosis and liver failure and related poor prognosis after TACE which are not completely predictable by current method including Child-Pugh Classification. LSM is used to calculate the degree of liver fibrosis and is affected by several liver injury, e.g. elevated Alanine aminotransferase(ALT), Aspartate transaminase(AST) and Bilirubin et al. The investigators assume that LSM could be use to predict progress of liver fibrosis and adverse effects after TACE in HCC. Methods: At least 200 patients will be recruited in this prospective observational study with preoperative LSM, demographic, laboratory, radiological and other treatment-related factors. Participants will be followed up till death or to the end of study no matter the liver failure occurs or not. Data will be analyzed to build a mathematical predicting model. Research hypothesis:TACE is related to progress of liver fibrosis and a mathematical model with LSM is able to predict the risk of liver failure and prognosis in HCC.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1103828
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive