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

Authors :
Huang M
Liao B
Xu P
Cai H
Huang K
Dong Z
Xu L
Peng Z
Luo Y
Zheng K
Peng B
Li ZP
Feng ST
Source :
Contrast media & molecular imaging [Contrast Media Mol Imaging] 2018 Jan 23; Vol. 2018, pp. 9674565. Date of Electronic Publication: 2018 Jan 23 (Print Publication: 2018).
Publication Year :
2018

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.<br />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.<br />Results: Histopathology confirmed that MVI were observed in 17 of 66 HCCs. Univariate analysis showed tumor size ( p = 0.003), margin ( p = 0.013), peritumor enhancement ( p = 0.001), and hypointensity during hepatobiliary phase ( p = 0.004) 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 ( α = 0.1). R <superscript>2</superscript> of this prediction model was 0.353, and the sensitivity and specificity were 52.9% and 93.0%, respectively.<br />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.

Details

Language :
English
ISSN :
1555-4317
Volume :
2018
Database :
MEDLINE
Journal :
Contrast media & molecular imaging
Publication Type :
Academic Journal
Accession number :
29606926
Full Text :
https://doi.org/10.1155/2018/9674565