Xu S, Zhang T, He BB, Liu J, Kong T, Zeng QY. Application of ultrasound elastography and splenic size in predicting post-hepatectomy liver failure: Unveiling new clinical perspectives. World J Gastroenterol 2025; 31(4): 98886 [PMID: 39877707 DOI: 10.3748/wjg.v31.i4.98886]
Corresponding Author of This Article
Tao Zhang, Associate Chief Physician, MD, PhD, Department of Gastroenterology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, No. 97 Renmin South Road, Shunqing District, Nanchong 637000, Sichuan Province, China. yyzx1962@sina.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Jan 28, 2025; 31(4): 98886 Published online Jan 28, 2025. doi: 10.3748/wjg.v31.i4.98886
Application of ultrasound elastography and splenic size in predicting post-hepatectomy liver failure: Unveiling new clinical perspectives
Shan Xu, Tao Zhang, Bin-Bo He, Jie Liu, Tao Kong, Qing-Yu Zeng
Shan Xu, Tao Zhang, Bin-Bo He, Jie Liu, Tao Kong, Qing-Yu Zeng, Department of Gastroenterology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
Author contributions: Xu S was responsible for designing the study and writing the paper; Zhang T contributed to this work as corresponding authors, he was responsible for designing the study and guiding important content of the article; He BB, Liu J, Kong T and Zeng QY contributed to the discussion and design of the manuscript. All authors have read and approved the final manuscript.
Supported by Sichuan Province Science and Technology Department Key Research and Development Project, No. 2023YFS0473.
Conflict-of-interest statement: The authors declare that they have no competing interests.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Tao Zhang, Associate Chief Physician, MD, PhD, Department of Gastroenterology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, No. 97 Renmin South Road, Shunqing District, Nanchong 637000, Sichuan Province, China. yyzx1962@sina.com
Received: July 8, 2024 Revised: November 19, 2024 Accepted: December 2, 2024 Published online: January 28, 2025 Processing time: 174 Days and 17.9 Hours
Abstract
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.
Core Tip: This article discusses a study on predictive methods for post-hepatectomy liver failure (PHLF), highlighting the potential of ultrasound elastography and splenic size in predicting PHLF, as these factors reflect liver function and portal hemodynamics. By combining these variables with serological markers, a comprehensive prediction model was developed to aid in risk stratification and inform personalized clinical decisions. This approach offers new insights into the early identification of high-risk patients and supports personalized treatment strategies. Future research will validate the model’s accuracy using with larger sample sizes for broader clinical application.