For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
49
views
131
references
 Top references
cited by
38
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      402
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      MRI Features of Hepatocellular Carcinoma Related to Biologic Behavior

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Imaging studies including magnetic resonance imaging (MRI) play a crucial role in the diagnosis and staging of hepatocellular carcinoma (HCC). Several recent studies reveal a large number of MRI features related to the prognosis of HCC. In this review, we discuss various MRI features of HCC and their implications for the diagnosis and prognosis as imaging biomarkers. As a whole, the favorable MRI findings of HCC are small size, encapsulation, intralesional fat, high apparent diffusion coefficient (ADC) value, and smooth margins or hyperintensity on the hepatobiliary phase of gadoxetic acid-enhanced MRI. Unfavorable findings include large size, multifocality, low ADC value, non-smooth margins or hypointensity on hepatobiliary phase images. MRI findings are potential imaging biomarkers in patients with HCC.

          Related collections

          Most cited references131

          • Record: found
          • Abstract: found
          • Article: not found

          A novel prognostic subtype of human hepatocellular carcinoma derived from hepatic progenitor cells.

          Ju-Seog Lee, Jeonghoon Heo, Louis Libbrecht … (2006)
          The variability in the prognosis of individuals with hepatocellular carcinoma (HCC) suggests that HCC may comprise several distinct biological phenotypes. These phenotypes may result from activation of different oncogenic pathways during tumorigenesis and/or from a different cell of origin. Here we address whether the transcriptional characteristics of HCC can provide insight into the cellular origin of the tumor. We integrated gene expression data from rat fetal hepatoblasts and adult hepatocytes with HCC from human and mouse models. Individuals with HCC who shared a gene expression pattern with fetal hepatoblasts had a poor prognosis. The gene expression program that distinguished this subtype from other types of HCC included markers of hepatic oval cells, suggesting that HCC of this subtype may arise from hepatic progenitor cells. Analyses of gene networks showed that activation of AP-1 transcription factors in this newly identified HCC subtype might have key roles in tumor development.
          Article 0 comments Cited 255 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            EpCAM and alpha-fetoprotein expression defines novel prognostic subtypes of hepatocellular carcinoma.

            Taro Yamashita, Marshonna Forgues, Wei Wang … (2008)
            The heterogeneous nature of hepatocellular carcinoma (HCC) and the lack of appropriate biomarkers have hampered patient prognosis and treatment stratification. Recently, we have identified that a hepatic stem cell marker, epithelial cell adhesion molecule (EpCAM), may serve as an early biomarker of HCC because its expression is highly elevated in premalignant hepatic tissues and in a subset of HCC. In this study, we aimed to identify novel HCC subtypes that resemble certain stages of liver lineages by searching for EpCAM-coexpressed genes. A unique signature of EpCAM-positive HCCs was identified by cDNA microarray analysis of 40 HCC cases and validated by oligonucleotide microarray analysis of 238 independent HCC cases, which was further confirmed by immunohistochemical analysis of an additional 101 HCC cases. EpCAM-positive HCC displayed a distinct molecular signature with features of hepatic progenitor cells including the presence of known stem/progenitor markers such as cytokeratin 19, c-Kit, EpCAM, and activated Wnt-beta-catenin signaling, whereas EpCAM-negative HCC displayed genes with features of mature hepatocytes. Moreover, EpCAM-positive and EpCAM-negative HCC could be further subclassified into four groups with prognostic implication by determining the level of alpha-fetoprotein (AFP). These four subtypes displayed distinct gene expression patterns with features resembling certain stages of hepatic lineages. Taken together, we proposed an easy classification system defined by EpCAM and AFP to reveal HCC subtypes similar to hepatic cell maturation lineages, which may enable prognostic stratification and assessment of HCC patients with adjuvant therapy and provide new insights into the potential cellular origin of HCC and its activated molecular pathways.
            Article 0 comments Cited 233 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Prognostic prediction and treatment strategy in hepatocellular carcinoma.

              Jordi Bruix, Josep Llovet (2002)
              Article 0 comments Cited 230 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Korean J Radiol
                Journal ID (iso-abbrev): Korean J Radiol
                Journal ID (publisher-id): KJR
                Title: Korean Journal of Radiology
                Publisher: The Korean Society of Radiology
                ISSN (Print): 1229-6929
                ISSN (Electronic): 2005-8330
                Publication date (Print): May-Jun 2015
                Publication date (Electronic): 13 May 2015
                Volume: 16
                Issue: 3
                Pages: 449-464
                Affiliations
                [1 ]Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 135-720, Korea.
                [2 ]Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul 120-752, Korea.
                Author notes
                Corresponding author: Jin-Young Choi, MD, Department of Radiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. Tel: (822) 2228-7400, Fax: (822) 393-3035, gafield2@ 123456yuhs.ac
                Article
                DOI: 10.3348/kjr.2015.16.3.449
                PMC ID: 4435980
                PubMed ID: 25995679
                SO-VID: fe3e76a7-c5b8-4e80-9e67-1f8049a20e16
                Copyright © Copyright © 2015 The Korean Society of Radiology
                License:

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 03 September 2014
                Date accepted : 23 February 2015
                Categories
                Subject: Gastrointestinal Imaging
                Subject: Review Article

                ScienceOpen disciplines: Radiology & Imaging
                Keywords: hepatocellular carcinoma,magnetic resonance imaging,prognosis
                Data availability:
                ScienceOpen disciplines: Radiology & Imaging
                Keywords: hepatocellular carcinoma, magnetic resonance imaging, prognosis

                Comments

                Comment on this article

                scite_

                Similar content402

                See all similar

                Cited by38

                See all cited by

                Most referenced authors1,328

                See all reference authors