Performance of spleen stiffness measurement to rule out high-risk varices in patients with porto-sinusoidal vascular disorder

Advances in imaging-Elastography

Chronic liver disease affects over a billion people worldwide. Liver fibrosis is the key driver of liver-related complications and mortality. Elastography has been a transformative tool in hepatology, allowing for the diagnosis and staging of liver fibrosis noninvasively, and is evolving beyond these purposes into a prognostication tool. By measuring tissue stiffness, elastography techniques such as shear-wave and magnetic resonance elastography offer critical insights into liver fibrosis, portal hypertension, and the progression of disease. Magnetic resonance elastography stands out for its reliability across fibrosis stages and robustness in obese patients affected by metabolic liver disease. Spleen stiffness measurement complements liver assessments, enhancing the identification of portal hypertension and refining patient risk stratification. This review covers current clinical applications but also anticipates future innovations such as artificial intelligence-based algorithms that could expand elastography's clinical impact, thereby improving patient outcomes.

Future of Endoscopy in Surveillance of Esophageal Varices

PURPOSE OF REVIEW

tTo assess the evolving role of endoscopy assessment for esophageal varices in cirrhosis.

RECENT FINDINGS

The approach to screening endoscopy for varices has significantly changed in the last 10 years with the refinement of non-diagnostic tests. Non-invasive diagnostic methods have reduced the need of upper endoscopies for variceal screening in patients with compensated cirrhosis, focusing primarily on those with ambiguous risk assessments or contraindications to non-selective beta-blockers (NSBBs). In contrast, decompensated cirrhosis patients require more frequent endoscopic evaluations due to their heightened risk of complications and the potential benefit of combination therapy (NSBBs + variceal ligation). In patients with hepatocellular carcinoma (HCC) the performance of non-invasive tests is suboptimal and most patients require endoscopy. Emerging applications of artificial intelligence (AI) can assist in patient triage and the interpretation of endoscopic findings, potentially improving care. Further research is essential to validate these technologies within clinical practice and optimize their integration into patient management strategies.