Literature DB >> 30059953

The role of imaging in prediction of post-hepatectomy liver failure.

Yi-Nan Shen1, Meng-Lin Zheng2, Cheng-Xiang Guo1, Xue-Li Bai1, Yao Pan3, Wei-Yun Yao4, Ting-Bo Liang5.   

Abstract

Post-hepatectomy liver failure (PHLF) is not only a leading cause of mortality but also a leading cause of life-threatening complications in patients undergoing liver resection. The ability to accurately detect the emergence of PHLF represents a crucially important step. Currently, PHLF can be predicted by a comprehensive evaluation of biological, clinical, and anatomical parameters. With the development of new technologies, imaging methods including elastography, diffusion-weighted magnetic resonance imaging, and gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid-enhanced MRI play a more significant role in the pre-operative prediction and assessment of PHLF. In this review, we summarize the mainstream studies, with the aim of evaluating the role of imaging and improving the clinical value of existing scoring systems for predicting PHLF.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Imaging; Liver resection; Post-hepatectomy liver failure; Risk factors; Scoring system

Mesh:

Substances:

Year:  2018        PMID: 30059953     DOI: 10.1016/j.clinimag.2018.07.019

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  5 in total

1.  Advanced liver imaging using MR to predict outcomes in chronic liver disease: a shift from morphology to function liver assessment.

Authors:  Francesco Verde; Valeria Romeo; Simone Maurea
Journal:  Quant Imaging Med Surg       Date:  2020-03

2.  Development and Validation of a Nomogram Based on Noninvasive Liver Reserve and Fibrosis (PALBI and FIB-4) Model to Predict Posthepatectomy Liver Failure Grade B-C in Patients with Hepatocellular Carcinoma.

Authors:  Wenhui Zhong; Feng Zhang; Kaijun Huang; Yiping Zou; Yubin Liu
Journal:  J Oncol       Date:  2021-04-07       Impact factor: 4.375

3.  Systematic review on peri-operative lactate measurements to predict outcomes in patients undergoing liver resection.

Authors:  Catherine Connolly; Stefan Stättner; Thomas Niederwieser; Florian Primavesi
Journal:  J Hepatobiliary Pancreat Sci       Date:  2020-03-11       Impact factor: 7.027

4.  A nomogram for prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma: A retrospective study.

Authors:  Yi-Nan Shen; Tian-Yu Tang; Wei-Yun Yao; Cheng-Xiang Guo; Wei Song; Ting-Bo Liang; Xue-Li Bai
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.889

5.  A Nomogram Based on Preoperative Inflammatory Indices and ICG-R15 for Prediction of Liver Failure After Hepatectomy in HCC Patients.

Authors:  Tongdi Fang; Guo Long; Dong Wang; Xudong Liu; Liang Xiao; Xingyu Mi; Wenxin Su; Liuying Zhou; Ledu Zhou
Journal:  Front Oncol       Date:  2021-07-02       Impact factor: 6.244

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.