Nomogram based on liver stiffness and spleen area with ultrasound for posthepatectomy liver failure: A multicenter study

Role of two-dimensional shear wave elastography in predicting post-hepatectomy liver failure: A step forwards in hepatic surgery

This study explores the significance of using two-dimensional shear wave elastography (2D-SWE) to assess liver stiffness (LS) and spleen area (SPA) for predicting post-hepatectomy liver failure (PHLF). By providing a non-invasive method to measure LS, which correlates with the degree of liver fibrosis, and SPA, an indicator of portal hypertension, 2D-SWE offers a comprehensive evaluation of a patient's hepatic status. These advancements are particularly crucial in hepatic surgery, where accurate preoperative assessments are essential for optimizing surgical outcomes and minimizing complications. This letter highlights the practical implications of integrating 2D-SWE into clinical practice, emphasizing its potential to improve patient safety and surgical precision by enhancing the ability to predict PHLF and tailor surgical approaches accordingly.

Prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma through ultrasound elastography

In this article, we comment on the article by Cheng et al published in recently. Posthepatectomy liver failure (PHLF) remains a leading cause of hepatectomy-related mortality and can be evaluated according to liver reserve function. Liver stiffness (LS) measured by ultrasonic elastography and spleen area demonstrate a strong correlation with hepatic proliferation, fibrosis, and portal vein congestion, thus indirectly reflecting liver reserve function. This article highlights a meticulous study aimed at investigating the potential of two-dimensional shear wave elastography in assessing LS, as well as its integration with spleen area, surgical factors, and laboratory indicators, for predicting the risk of PHLF in hepatocellular carcinoma patients. In this article, we discussed the non-invasive elastography modality by ultrasound and magnetic resonance imaging to assess LS. Based on literature data, we subsequently suggested that several risk factors may contribute to PHLF, including excessive intrahepatic neutrophil accumulation, the formation of neutrophil extracellular traps, end-stage liver disease scores, and albumin-bilirubin scores. Therefore, a more comprehensive study incorporating detailed information requires further investigation.

Application of ultrasound elastography and splenic size in predicting post-hepatectomy liver failure: Unveiling new clinical perspectives

In this article, we discuss the study by Cheng et al, published in the World Journal of Gastroenterology, focusing on predictive methods for post-hepatectomy liver failure (PHLF). PHLF is a common and serious complication, and accurate prediction is critical for clinical management. The study examines the potential of ultrasound elastography and splenic size in predicting PHLF. Ultrasound elastography reflects liver functional reserve, while splenic size provides additional predictive value. By integrating these factors with serological markers, we developed a comprehensive prediction model that effectively stratifies patient risk and supports personalized clinical decisions. This approach offers new insights into predicting PHLF. These methods not only assist clinicians in identifying high-risk patients earlier but also provide scientific support for personalized treatment strategies. Future research will aim to validate the model's accuracy with larger sample sizes, further enhancing the clinical application of these non-invasive indicators.

Current strategies for predicting post-hepatectomy liver failure and a new ultrasound-based nomogram

Liver cancer is associated with a few factors, such as viruses and alcohol consumption, and hepatectomy is an important treatment for patients with liver cancer. However, post-hepatectomy liver failure (PHLF) is the most serious complication and has a high mortality rate. Effective prediction of PHLF allows for the adjustment of clinical treatment strategies and is critical to the long-term prognosis of patients. Many factors have been associated with the development of PHLF, so there is an increasing interest in the development of predictive models for PHLF, such as nomograms that integrate intra-operative factors, imaging and biochemical characteristics of the patient. Ultrasound, as a simple and important examination method, plays an important role in predicting PHLF, especially the Nomogram established based on ultrasound measurements of liver stiffness and spleen area provides a more convenient way to predict the occurrence of PHLF.