Hepatic neuroendocrine tumors: gadoxetic acid-enhanced magnetic resonance imaging findings with an emphasis on differentiation between primary and secondary tumors

被引:13
|
作者
Cha, Dong Ik [1 ]
Kang, Tae Wook [1 ]
Jang, Kyoung Mi [1 ]
Kim, Young Kon [1 ]
Kim, Seong Hyun [1 ]
Ha, Sang Yun [2 ]
Sohn, Insuk [3 ]
机构
[1] Sungkyunkwan Univ, Dept Radiol, Samsung Med Ctr, Sch Med, 50 Irwon Dong, Seoul 135710, South Korea
[2] Sungkyunkwan Univ, Dept Pathol, Samsung Med Ctr, Sch Med, Seoul, South Korea
[3] Samsung Med Ctr, Biostat & Clin Epidemiol Ctr, Seoul, South Korea
关键词
Liver; Neuroendocrine tumor; Magnetic resonance imaging; Diagnosis; Imaging criteria; CARCINOID-TUMORS; PATHOLOGICAL CORRELATION; CT FINDINGS; LIVER; FEATURES; CLASSIFICATION; SURVIVAL; MRI; RESECTION;
D O I
10.1007/s00261-018-1653-6
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
PurposeTo describe the findings of magnetic resonance (MR) imaging of hepatic neuroendocrine tumors (hNET) and to identify the features that differentiate secondary from primary tumors.MethodsThis retrospective study was approved by the institutional review board, and the requirement for informed consent was waived. Between August 2008 and December 2014, 50 patients with pathologically proven hNETs who underwent gadoxetic acid-enhanced MR imaging with diffusion-weighted images were included. The patients were divided into two groups according to whether they had primary (n=17) or secondary (n=33) hNETs. Qualitative values based on a consensus between two observers [morphologic findings, signal intensity, and enhancement pattern (poor or indeterminate; hepatocellular carcinoma-like or cholangiocarcinoma-like)], and quantitative values (apparent diffusion coefficient) were evaluated as predictors of secondary hNETs using multivariable logistic regression and receiver operating characteristic (ROC) analysis.ResultsIn multivariate analysis, the presence of multiple lesions (p=0.011), a tumor size less than 6.3cm (p=0.001), and a hepatocellular carcinoma-like enhancement pattern (p=0.031) were significant independent factors for differentiating secondary from primary hNETs, and achieved a sensitivity of 91%, a specificity of 82%, and an accuracy of 88%, with a value of the area under the ROC curve of 0.931.ConclusionUsing these specific MR imaging criteria, secondary hNETs could be differentiated from primary hNETs with a high degree of accuracy in patients with histopathologically proven hNETs.
引用
收藏
页码:3331 / 3339
页数:9
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