Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI

2017 ◽  
Vol 28 (5) ◽  
pp. 2038-2046 ◽  
Author(s):  
Yeun-Yoon Kim ◽  
Chansik An ◽  
Sungwon Kim ◽  
Myeong-Jin Kim
Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 323
Author(s):  
Lingling Li ◽  
Yixin Hu ◽  
Jing Han ◽  
Qing Li ◽  
Chuan Peng ◽  
...  

The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for standardizing liver imaging in patients at risk of developing hepatocellular carcinoma (HCC). We aimed to determine the diagnostic performance of LI-RADS category 5 (LR5) for diagnosing HCC and LI-RADS category M (LRM) for characterizing other non-HCC malignancies (OM) using contrast-enhanced ultrasound (CEUS) and computed tomography (CT)/magnetic resonance imaging (MRI). Multiple databases were searched for articles evaluating the diagnostic accuracy of CEUS LI-RADS and/or CT/MRI LI-RADS. A random-effects model was adopted to synthesize the summary estimates of the diagnostic accuracy of LR5 for diagnosing HCC and LRM for characterizing OM using CEUS and CT/MRI. The pooled sensitivity and specificity of CEUS LR5 for the diagnosis of HCC were 69% and 93%, respectively. The pooled sensitivity was 67% and the specificity, 93% of CT/MRI LR5 for HCC diagnosis. There was no significant difference between the overall diagnostic accuracy for HCC diagnosis of CEUS LR5 and that of CT/MRI LR5 in terms of diagnostic odds ratio (DOR) (p = 0.55). The sensitivity was 84% with a specificity of 90% in the CEUS LRM for characterizing OM, while the sensitivity and specificity of CT/MRI LRM for characterizing OM was 63% and 95%. The DOR of CEUS LRM for characterizing OM was higher than that of CT/MRI LRM without significant difference (50.59 vs. 36.06, p = 0.34). This meta-analysis indicated that CEUS LI-RADS is qualified to characterize HCC and OM and may provide complementary information on liver nodules to CT/MRI LI-RADS.


2017 ◽  
Vol 27 (10) ◽  
pp. 4394-4405 ◽  
Author(s):  
Dong Ik Cha ◽  
Kyung Mi Jang ◽  
Seong Hyun Kim ◽  
Tae Wook Kang ◽  
Kyoung Doo Song

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