A Model Based on Resected Normal Liver Parenchymal Volume (RNLV) to Predict the Risk of Post-Hepatectomy Liver Failure (PHLF)

What this Trial Is About

Researchers are investigating the relationship between the volume of normal liver tissue removed during surgery, called resected normal liver parenchymal volume (RNLV), and the risk of liver failure after liver surgery (post-hepatetotomy liver failure, or PHLF). This observational study focuses on patients diagnosed with hepatocellular carcinoma (HCC) or intracholangiocarcinoma (ICC) who have undergone liver resection. The goal is to build and assess a personalized predictive model using RNLV to better estimate the risk of PHLF before surgery. The study collects data retrospectively from over a thousand patients treated at the investigator’s center. Patients are grouped based on whether they developed liver failure after surgery, defined by two sets of criteria known as the 50-50 criteria and ISGLS criteria. The research evaluates how well the RNLV-based model predicts PHLF and compares its usefulness to other methods, especially for patients with large or multiple liver tumors. Participants' medical records and surgical details are reviewed to calculate RNLV and assess liver failure outcomes within 30 days after surgery. The main outcome is the predicted probability of PHLF using the newly developed model. This approach aims to improve preoperative risk assessment to support safer liver surgeries. The study is sponsored by the National Natural Science Foundation of China and runs through the end of 2026.

A Study on Relationship Between Resected Normal Liver Parenchymal Volume（RNLV）and Post-Hepatectomy Liver Failure (PHLF)