Literature DB >> 28502665

Can the Contrast-Enhanced Ultrasound Washout Rate Be Used to Predict Microvascular Invasion in Hepatocellular Carcinoma?

Wei Zhu1, Xiachuan Qing2, Feng Yan3, Yan Luo3, Yongzhong Li3, Xiang Zhou4.   

Abstract

The objective of this study was to investigate use of the washout rate of hepatocellular carcinoma on contrast-enhanced ultrasound (CEUS) for pre-operative determination of the presence of microvascular invasion. The study included 271 patients who underwent liver resection for hepatocellular carcinoma between April 2008 and December 2012, and were examined with contrast-enhanced ultrasound before surgery. Patients were followed up at 3-mo intervals for 3 y. Four washout patterns were classified according to the start time of washout: rapid, portal, delayed and slow. Rapid washout, presence of two or more tumors and tumor size ≥5 cm were identified as independent pre-operative predictors of microvascular invasion on multivariate analysis. Recurrence rates for patients with none, one, two or three predictors were 22.6%, 34.7%, 57.6% and 75.0%, respectively. In combination with tumor number and tumor size, contrast-enhanced ultrasound washout rate may have a role in identifying hepatocellular carcinoma patients with microvascular invasion.
Copyright © 2017 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Contrast-enhanced ultrasound; Hepatocellular carcinoma; Microvascular invasion; Washout rate

Mesh:

Substances:

Year:  2017        PMID: 28502665     DOI: 10.1016/j.ultrasmedbio.2017.04.003

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  8 in total

Review 1.  Microvascular Invasion in HCC: The Molecular Imaging Perspective.

Authors:  Vincenzo Cuccurullo; Giuseppe Danilo Di Stasio; Giuseppe Mazzarella; Giuseppe Lucio Cascini
Journal:  Contrast Media Mol Imaging       Date:  2018-10-04       Impact factor: 3.161

2.  Contrast-enhanced ultrasound approach to the diagnosis of focal liver lesions: the importance of washout.

Authors:  Hyun Kyung Yang; Peter N Burns; Hyun-Jung Jang; Yuko Kono; Korosh Khalili; Stephanie R Wilson; Tae Kyoung Kim
Journal:  Ultrasonography       Date:  2019-03-17

3.  Preoperative Prediction of Microvascular Invasion in Patients With Hepatocellular Carcinoma Based on Radiomics Nomogram Using Contrast-Enhanced Ultrasound.

Authors:  Di Zhang; Qi Wei; Ge-Ge Wu; Xian-Ya Zhang; Wen-Wu Lu; Wen-Zhi Lv; Jin-Tang Liao; Xin-Wu Cui; Xue-Jun Ni; Christoph F Dietrich
Journal:  Front Oncol       Date:  2021-09-07       Impact factor: 6.244

4.  Radiomics for the Preoperative Evaluation of Microvascular Invasion in Hepatocellular Carcinoma: A Meta-Analysis.

Authors:  Liujun Li; Chaoqun Wu; Yongquan Huang; Jiaxin Chen; Dalin Ye; Zhongzhen Su
Journal:  Front Oncol       Date:  2022-04-07       Impact factor: 5.738

5.  Diagnostic accuracy of contrast-enhanced ultrasound for microvascular invasion of hepatocellular carcinoma: A protocol for systematic review and meta-analysis.

Authors:  Yanli Chen; Haiyan Qiao; Zhaoan Lian; Chunlin Li; Yi Xiang
Journal:  Medicine (Baltimore)       Date:  2022-04-15       Impact factor: 1.817

6.  Prediction of early recurrence of HCC after hepatectomy by contrast-enhanced ultrasound-based deep learning radiomics.

Authors:  Hui Zhang; Fanding Huo
Journal:  Front Oncol       Date:  2022-09-28       Impact factor: 5.738

7.  A Nomogram Based on Combining Clinical Features and Contrast Enhanced Ultrasound LI-RADS Improves Prediction of Microvascular Invasion in Hepatocellular Carcinoma.

Authors:  Hang Zhou; Jiawei Sun; Tao Jiang; Jiaqi Wu; Qunying Li; Chao Zhang; Ying Zhang; Jing Cao; Yu Sun; Yifan Jiang; Yajing Liu; Xianli Zhou; Pintong Huang
Journal:  Front Oncol       Date:  2021-07-08       Impact factor: 6.244

8.  Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images.

Authors:  Yi Dong; Liu Zhou; Wei Xia; Xing-Yu Zhao; Qi Zhang; Jun-Ming Jian; Xin Gao; Wen-Ping Wang
Journal:  Front Oncol       Date:  2020-03-19       Impact factor: 6.244

  8 in total

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