In this article, we discuss the study by Cheng , published in the , 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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11718641 | PMC |
http://dx.doi.org/10.3748/wjg.v31.i4.98886 | DOI Listing |
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