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Tamai. Hepatoma Res 2018;4:75                                    Hepatoma Research
               DOI: 10.20517/2394-5079.2018.98


               Review                                                                        Open Access


               The prediction of microvascular invasion of
               hepatocellular carcinoma using multiple imaging
               modalities


               Hideyuki Tamai

               Department of Hepatology, Wakayama Rosai Hospital, Wakayama 640-8505, Japan.
               Correspondence to: Dr. Hideyuki Tamai, Department of Hepatology, Wakayama Rosai Hospital, 93-1 Kinomoto, Wakayama-shi,
               Wakayama 640-8505, Japan. E-mail: hdy-tamai@wakayamah.johas.go.jp

               How to cite this article: Tamai H. The prediction of microvascular invasion of hepatocellular carcinoma using multiple imaging
               modalities. Hepatoma Res 2018;4:75. http://dx.doi.org/10.20517/2394-5079.2018.98

               Received: 10 Sep 2018    First Decision: 12 Oct 2018    Revised: 20 Nov 2018    Accepted: 27 Nov 2018    Published: 18 Dec 2018

               Science Editor: Guang-Wen Cao    Copy Editor: Cui Yu    Production Editor: Huan-Liang Wu


               Abstract
               To implement an adequate treatment strategy for solitary hepatocellular carcinoma (HCC), the prediction of
               microvascular invasion (MVI) is crucial. Metastatic recurrences after curative treatments can result from occult
               metastasis derived from invisible MVI. For predicting MVI, poorly differentiated or non-singular nodular HCC with
               a high risk of MVI should be evaluated by common imaging modalities such as ultrasound, contrast enhanced
               computed tomography (CECT), or magnetic resonance imaging (MRI). Summarizing these predictabilities in
               previous reports, the accuracies for predicting MVI were 78% in contrast enhanced ultrasonography (CEUS),
               76%-89% in CECT, and 62%-77% in MRI. Those for predicting poor differentiation were 69%-92% in CEUS,
               52%-90% in CECT, and 71%-75% in MRI. Those for predicting non-singular nodular type were 92%-95% in CEUS,
               81%-89% in MRI, and 91%-93% in the combination of MRI and CECT. Among common imaging modalities, MRI
               can provide tissue characterization of the HCC using signal intensity. Gadolinium-ethoxybenzyl diethylenetriamine
               penta-acetic acid-enhanced MRI including diffusion imaging is the most informative imaging modality to predict
               MVI. Combination of MRI with other imaging modalities or tumor markers may provide a more accurate predicting
               for MVI. HCC with a high risk of MVI should be treated as advanced HCC even after curative treatment.

               Keywords: Hepatocellular carcinoma, microvascular invasion, histologic differentiation, ultrasound, computed
               tomography, magnetic resonance imaging




               INTRODUCTION
               There have been rapid advances in the development of imaging modalities as diagnostic tools in recent years.
               In hepatocellular carcinoma (HCC), imaging plays a greater part than biopsy in its diagnosis. In addition,

                           © The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
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