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Noncontrast MRI with diffusion-weighted imaging as the sole imaging modality for detecting liver malignancy in patients with high risk for hepatocellular carcinoma.

Authors :
Kim YK
Kim YK
Park HJ
Park MJ
Lee WJ
Choi D
Source :
Magnetic resonance imaging [Magn Reson Imaging] 2014 Jul; Vol. 32 (6), pp. 610-8. Date of Electronic Publication: 2014 Jan 13.
Publication Year :
2014

Abstract

Purpose: To compare the diagnostic performance of the noncontrast MRI including DWI to the standard MRI for detecting hepatic malignancies in patients with chronic liver disease.<br />Materials and Methods: We included 135 patients with 136 histologically-confirmed hepatocellular carcinomas (HCCs), 12 cholangiocarcinomas, and 34 benign lesions (≤ 2.0 cm), and 22 patients with cirrhosis but no focal liver lesion who underwent 3.0 T liver MRI. Noncontrast MRI set (T1- and T2-weighted images and DWI) and standard MRI set (gadoxetic acid-enhanced and noncontrast MRI) were analyzed independently by three observers to detect liver malignancies using receiver operating characteristic analysis.<br />Results: The Az value of the noncontrast MRI (mean, 0.906) was not inferior to that of the combined MRI (mean, 0.924) for detecting malignancies by all observers (P>0.05). For each observer, no significant difference was found in the sensitivity and specificity between the two MRI sets for detecting liver malignancies and distinguishing them from benign lesions (P>0.05), whereas negative predictive value was higher with the combined MRI than with the noncontrast MRI (P=0.0001). When using pooled data, the sensitivity of the combined MRI (mean 94.8%) was higher than that of the noncontrast MRI (mean, 91.7%) (P =0.001), whereas specificity was equivalent (78.6% vs 77.5%).<br />Conclusion: Noncontrast MRI including DWI showed reasonable performance compared to the combined gadoxetic acid-enhanced and noncontrast MRI set for detecting HCC and cholangiocarcinoma and differentiating them from benign lesions in patients with chronic liver disease.<br /> (Copyright © 2014 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-5894
Volume :
32
Issue :
6
Database :
MEDLINE
Journal :
Magnetic resonance imaging
Publication Type :
Academic Journal
Accession number :
24702980
Full Text :
https://doi.org/10.1016/j.mri.2013.12.021