Literature DB >> 25584708

Differentiation of Atypical Hepatocellular Carcinoma from Focal Nodular Hyperplasia: Diagnostic Performance of Contrast-enhanced US and Microflow Imaging.

Wei Li1, Wei Wang, Guang-Jian Liu, Li-Da Chen, Zhu Wang, Yang Huang, Jin-Ya Liu, Xiao-Yan Xie, Ming-De Lu.   

Abstract

PURPOSE: To evaluate diagnostic performance of contrast-enhanced (CE) ultrasonography (US) and microflow (MF) imaging in differentiation of atypical hepatocellular carcinoma (HCC) from focal nodular hyperplasia (FNH).
MATERIALS AND METHODS: Institutional review board approval was obtained, and informed consent was waived. A total of 103 patients (mean age, 43.9 years; age range, 17-75 years) were included; 38 patients with HCC and 65 with FNH underwent CE US, and vascular architecture pattern (VAP) and arrival time parametric (ATP) images were analyzed. Resident and staff radiologists independently and retrospectively reviewed CE US, VAP, and ATP images. χ(2) test and logistic regression analysis were applied to identify specific features of FNH or HCC on CE US and MF images. To compare diagnostic performance of CE US with or without MF imaging, four sets of criteria were assigned: (a) routine CE US alone, (b) VAP and CE US, (c) ATP imaging and CE US, and (d) all three methods in combination. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) of resident and staff radiologists were analyzed. Cohen κ statistic was used to assess agreement of CE US and MF imaging features between staff and resident radiologists.
RESULTS: MF imaging offered significant improvements over most detection rates achieved with routine CE US signs in both groups. For staff radiologists, AUCs from criteria sets 3 (AUC = 0.873, P < .05) and 4 (AUC = 0.887, P < .05) were significantly higher than AUC from criteria set 1 (AUC = 0.835). For resident radiologists, specificity (71% and 69% vs 25%, P < .01) and accuracy (78% and 79% vs 50%, P < .01) of criteria sets 3 and 4 were significantly higher than those of criteria set 1. Moreover, AUCs for criteria sets 2 (AUC = 0.728, P < .05), 3 (AUC = 0.823, P < .01), and 4 (AUC = 0.857, P < .01) were significantly higher than those for criteria set 1 (AUC = 0.667).
CONCLUSION: When compared with routine CE US, MF imaging can more effectively depict specific features and offers improved diagnostic performance in the differentiation of atypical HCC from FNH, especially when used by resident radiologists. Online supplemental material is available for this article. RSNA, 2015

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25584708     DOI: 10.1148/radiol.14140911

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  13 in total

1.  Shear wave elastography-based ultrasomics: differentiating malignant from benign focal liver lesions.

Authors:  Wei Wang; Jian-Chao Zhang; Wen-Shuo Tian; Li-Da Chen; Qiao Zheng; Hang-Tong Hu; Shan-Shan Wu; Yu Guo; Xiao-Yan Xie; Ming-De Lu; Ming Kuang; Long-Zhong Liu; Si-Min Ruan
Journal:  Abdom Radiol (NY)       Date:  2020-06-20

2.  Focal nodular hyperplasia: our experience of 53 Japanese cases.

Authors:  Hiroko Naganuma; Hideaki Ishida; Masahiro Ogawa; Yukinobu Watanabe; Daisuke Watanabe; Yoko Ohyama; Takako Watanabe
Journal:  J Med Ultrason (2001)       Date:  2016-08-22       Impact factor: 1.314

3.  Contrast-enhanced ultrasound-based ultrasomics score: a potential biomarker for predicting early recurrence of hepatocellular carcinoma after resection or ablation.

Authors:  Hui Huang; Si-Min Ruan; Meng-Fei Xian; Ming-de Li; Mei-Qing Cheng; Wei Li; Yang Huang; Xiao-Yan Xie; Ming-de Lu; Ming Kuang; Wei Wang; Hang-Tong Hu; Li-Da Chen
Journal:  Br J Radiol       Date:  2021-11-29       Impact factor: 3.039

4.  Focal Liver Lesions: Computer-aided Diagnosis by Using Contrast-enhanced US Cine Recordings.

Authors:  Casey N Ta; Yuko Kono; Mohammad Eghtedari; Young Taik Oh; Michelle L Robbin; Richard G Barr; Andrew C Kummel; Robert F Mattrey
Journal:  Radiology       Date:  2017-10-25       Impact factor: 11.105

5.  Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions.

Authors:  Quan-Yuan Shan; Li-Da Chen; Lu-Yao Zhou; Zhu Wang; Guang-Jian Liu; Yang Huang; Wei Li; Jin-Ya Liu; Xiao-Yan Xie; Ming-de Lu; Jie Liu; Wei Wang
Journal:  Sci Rep       Date:  2016-01-04       Impact factor: 4.379

Review 6.  Hepatobiliary Tumors: Update on Diagnosis and Management.

Authors:  Ghassan Kabbach; Hussein A Assi; George Bolotin; Michael Schuster; Hwa Jeong Lee; Micheal Tadros
Journal:  J Clin Transl Hepatol       Date:  2015-09-15

7.  Diagnostic value of contrast-enhanced ultrasound in hepatocellular carcinoma: a meta-analysis with evidence from 1998 to 2016.

Authors:  Juanjuan Zhang; Yanyan Yu; Ying Li; Lunshou Wei
Journal:  Oncotarget       Date:  2017-08-07

8.  Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

Authors:  Wei Li; Yang Huang; Bo-Wen Zhuang; Guang-Jian Liu; Hang-Tong Hu; Xin Li; Jin-Yu Liang; Zhu Wang; Xiao-Wen Huang; Chu-Qing Zhang; Si-Min Ruan; Xiao-Yan Xie; Ming Kuang; Ming-De Lu; Li-Da Chen; Wei Wang
Journal:  Eur Radiol       Date:  2018-09-03       Impact factor: 5.315

9.  An MR-based radiomics model for differentiation between hepatocellular carcinoma and focal nodular hyperplasia in non-cirrhotic liver.

Authors:  Zongren Ding; Kongying Lin; Jun Fu; Qizhen Huang; Guoxu Fang; Yanyan Tang; Wuyi You; Zhaowang Lin; Zhan Lin; Xingxi Pan; Yongyi Zeng
Journal:  World J Surg Oncol       Date:  2021-06-21       Impact factor: 2.754

10.  Differentiation of atypical hepatic hemangioma from liver metastases: Diagnostic performance of a novel type of color contrast enhanced ultrasound.

Authors:  Xiao-Feng Wu; Xiu-Mei Bai; Wei Yang; Yu Sun; Hong Wang; Wei Wu; Min-Hua Chen; Kun Yan
Journal:  World J Gastroenterol       Date:  2020-03-07       Impact factor: 5.742

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.