Literature DB >> 21512074

Microvascular invasion in hepatocellular carcinoma: is it predictable with pretransplant MRI?

Hersh Chandarana1, Emma Robinson, Cristina H Hajdu, Leonid Drozhinin, James S Babb, Bachir Taouli.   

Abstract

OBJECTIVE: The purpose of this article is to correlate clinicopathologic and MRI parameters with the presence of microvascular invasion at histopathologic examination in patients with hepatocellular carcinoma (HCC) who are undergoing liver transplantation.
MATERIALS AND METHODS: In this retrospective single-center study, we assessed 60 patients (47 men and 13 women; mean age, 58 years) with HCC who underwent liver transplantation and pretransplant MRI (performed within 90 days before liver transplantation). Two observers analyzed the following tumor parameters in consensus: number, size, T1 and T2 signal intensity, margins, presence of capsule or pseudocapsule, distance to closest vessel, distance to liver capsule, and quantitative tumor enhancement. The size and number of HCCs, tumor differentiation, and the presence or absence of microvascular invasion were determined at histopathologic examination. Odds ratios (ORs) were calculated and logistic regression analysis was performed to assess the utility of these clinicopathologic and imaging parameters for predicting microvascular invasion.
RESULTS: None of the clinical parameters or morphologic and enhancement MRI features of HCC was predictive of microvascular invasion. Tumor multifocality, on both MRI and pathologic examination, was the only variable that predicted microvascular invasion (OR = 2.43 and p = 0.013 for MRI; OR = 1.94 and p = 0.013 for pathologic examination). The presence of three or more tumors on MRI and four or more tumors at pathologic examination had high specificity (88.2% and 91.2%, respectively) for the prediction of microvascular invasion.
CONCLUSION: Tumor multifocality on MRI was the only parameter that correlated significantly with microvascular invasion. All other MRI tumor characteristics failed to predict microvascular invasion.

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Year:  2011        PMID: 21512074     DOI: 10.2214/AJR.10.4720

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  30 in total

1.  Microvascular invasion in hepatocellular carcinoma.

Authors:  Emre Ünal; İlkay Sedakat İdilman; Deniz Akata; Mustafa Nasuh Özmen; Muşturay Karçaaltıncaba
Journal:  Diagn Interv Radiol       Date:  2016 Mar-Apr       Impact factor: 2.630

2.  Vascular microinvasion from hepatocellular carcinoma: CT findings and pathologic correlation for the best therapeutic strategies.

Authors:  Alfonso Reginelli; Angelo Vanzulli; Cristiano Sgrazzutti; Luca Caschera; Nicola Serra; Antonio Raucci; Fabrizio Urraro; Salvatore Cappabianca
Journal:  Med Oncol       Date:  2017-04-12       Impact factor: 3.064

Review 3.  Current status of imaging biomarkers predicting the biological nature of hepatocellular carcinoma.

Authors:  Norihide Yoneda; Osamu Matsui; Satoshi Kobayashi; Azusa Kitao; Kazuto Kozaka; Dai Inoue; Kotaro Yoshida; Tetsuya Minami; Wataru Koda; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2019-02-02       Impact factor: 2.374

4.  Hepatobiliary Quiz (Answers)-16 (2015).

Authors:  Sahaj Rathi; Radha K Dhiman
Journal:  J Clin Exp Hepatol       Date:  2015-12-21

Review 5.  Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging.

Authors:  E Sala; E Mema; Y Himoto; H Veeraraghavan; J D Brenton; A Snyder; B Weigelt; H A Vargas
Journal:  Clin Radiol       Date:  2016-10-11       Impact factor: 2.350

6.  A non-smooth tumor margin on preoperative imaging predicts microvascular invasion of hepatocellular carcinoma.

Authors:  Tsung-Han Wu; Etsuro Hatano; Kenya Yamanaka; Satoru Seo; Kojiro Taura; Kentaro Yasuchika; Yasuhiro Fujimoto; Takashi Nitta; Masaki Mizumoto; Akira Mori; Hideaki Okajima; Toshimi Kaido; Shinji Uemoto
Journal:  Surg Today       Date:  2016-03-16       Impact factor: 2.549

Review 7.  Selection of patients with hepatocellular carcinoma for liver transplantation: Past and future.

Authors:  Arturo Soriano; Aranzazu Varona; Rajesh Gianchandani; Modesto Enrique Moneva; Javier Arranz; Antonio Gonzalez; Manuel Barrera
Journal:  World J Hepatol       Date:  2016-01-08

Review 8.  Imaging genomics in cancer research: limitations and promises.

Authors:  Harrison X Bai; Ashley M Lee; Li Yang; Paul Zhang; Christos Davatzikos; John M Maris; Sharon J Diskin
Journal:  Br J Radiol       Date:  2016-02-11       Impact factor: 3.039

9.  A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma.

Authors:  Jie Peng; Jing Zhang; Qifan Zhang; Yikai Xu; Jie Zhou; Li Liu
Journal:  Diagn Interv Radiol       Date:  2018 May-Jun       Impact factor: 2.630

Review 10.  CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features.

Authors:  Jin-Young Choi; Jeong-Min Lee; Claude B Sirlin
Journal:  Radiology       Date:  2014-10       Impact factor: 11.105

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