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Contrast Media & Molecular Imaging
Volume 2018 (2018), Article ID 9674565, 9 pages
https://doi.org/10.1155/2018/9674565
Research Article

Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Preoperative Gd-EOB-DTPA-Dynamic Enhanced MRI and Histopathological Correlation

1Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Second Zhongshan Road, Guangzhou, Guangdong 510080, China
2Department of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Second Zhongshan Road, Guangzhou, Guangdong 510080, China
3Faculty of Medicine and Dentistry, University of Western Australia, Perth, WA, Australia
4Department of Hepatobiliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, 58 Second Zhongshan Road, Guangzhou, Guangdong 510080, China

Correspondence should be addressed to Baogang Peng, Zi-Ping Li, and Shi-Ting Feng

Received 3 April 2017; Revised 26 November 2017; Accepted 20 December 2017; Published 23 January 2018

Academic Editor: Cristina Rossi

Copyright © 2018 Mengqi Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objective. To investigate the imaging features observed in preoperative Gd-EOB-DTPA-dynamic enhanced MRI and correlated with the presence of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. Methods. 66 HCCs in 60 patients with preoperative Gd-EOB-DTPA-dynamic enhanced MRI were retrospectively analyzed. Features including tumor size, signal homogeneity, tumor capsule, tumor margin, peritumor enhancement during mid-arterial phase, peritumor hypointensity during hepatobiliary phase, signal intensity ratio on DWI and apparent diffusion coefficients (ADC), T1 relaxation times, and the reduction rate between pre- and postcontrast enhancement images were assessed. Correlation between these features and histopathological presence of MVI was analyzed to establish a prediction model. Results. Histopathology confirmed that MVI were observed in 17 of 66 HCCs. Univariate analysis showed tumor size (), margin (), peritumor enhancement (), and hypointensity during hepatobiliary phase () were associated with MVI. A multiple logistic regression model was established, which showed tumor size, margin, and peritumor enhancement were combined predictors for the presence of MVI (). of this prediction model was 0.353, and the sensitivity and specificity were 52.9% and 93.0%, respectively. Conclusion. Large tumor size, irregular tumor margin, and peritumor enhancement in preoperative Gd-EOB-DTPA-dynamic enhanced MRI can predict the presence of MVI in HCC.