Differentiation of intrahepatic Cholangiocellular Carcinoma from Hepatocellular Carcinoma in the Cirrhotic Liver Using Contrast-enhanced MR Imaging

被引:18
作者
Wengert, Georg J. [1 ]
Baltzer, Pascal A. T. [1 ]
Bickel, Hubert [1 ]
Thurner, Patrick [1 ]
Breitenseher, Julia [1 ]
Lazar, Mathias [1 ]
Pones, Matthias [1 ]
Peck-Radosavljevic, Markus [2 ]
Hucke, Florian [2 ]
Ba-Ssalamah, Ahmed [1 ]
机构
[1] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Waehringer Guertel 18-20, A-1090 Vienna, Austria
[2] Med Univ Vienna, Dept Internal Med 3, Div Gastroenterol Hepatol, Liver Canc HCC Study Grp, Vienna, Austria
关键词
Liver; mass-forming intrahepatic cholangiocellular carcinoma; hepatocellular carcinoma; liver cirrhosis; MRI; MASS-FORMING CHOLANGIOCARCINOMA; RISK-FACTORS; DIAGNOSTIC-ACCURACY; EPIDEMIOLOGY; CLASSIFICATION; PATHOGENESIS; METAANALYSIS; HEPATOCYTES; HEPATITIS; PATTERNS;
D O I
10.1016/j.acra.2017.06.005
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rationale and Objectives: This study aimed to investigate the potential of contrast-enhanced magnetic resonance imaging features to differentiate between mass-forming intrahepatic cholangiocellular carcinoma (ICC) and hepatocellular carcinoma (HCC) in cirrhotic livers. Materials and Methods: This study, performed between 2001 and 2013, included 64 baseline magnetic resonance imaging examinations with pathohistologically proven liver cirrhosis, presenting with either ICC (n = 32) or HCC (n = 32) tumors. To distinguish ICC form HCC tumors, 20 qualitative single-lesion descriptors were evaluated by two readers, in consensus, and statistically classified using the chi-square automatic interaction detection (CHAID) methodology. Diagnostic performance was assessed by a receiver operating characteristic analysis. Results: The CHAID algorithm identified three independent categorical lesion descriptors, including (1) liver capsular retraction; (2) progressive or persistent enhancement pattern or wash-out on the T1-weighted delayed phase; and (3) signal intensity appearance on T2-weighted images that could help to reliably differentiate ICC from HCC, which resulted in an AUC of 0.807, and a sensitivity and specificity of 68.8 and 90.6 (95% confidence interval 75.0-98.0), respectively. Conclusions: The proposed CHAID algorithm provides a simple and robust step-by-step classification tool for a reliable and solid differentiation between ICC and HCC tumors in cirrhotic livers. (C) 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1491 / 1500
页数:10
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