scholarly journals Use of CEUS LI-RADS for the Accurate Diagnosis of Nodules in Patients at Risk for Hepatocellular Carcinoma: A Validation Study

2020 ◽  
Vol 2 (2) ◽  
pp. e190014 ◽  
Author(s):  
Alina Makoyeva ◽  
Tae Kyoung Kim ◽  
Hyun-Jung Jang ◽  
Alejandra Medellin ◽  
Stephanie R. Wilson
2017 ◽  
Vol 45 ◽  
pp. 32-36 ◽  
Author(s):  
Mikkel Brabrand ◽  
Peter Hallas ◽  
Søren Nygaard Hansen ◽  
Kristian Møller Jensen ◽  
Janni Lynggård Bo Madsen ◽  
...  

2015 ◽  
Vol 43 (6) ◽  
pp. 1337-1345 ◽  
Author(s):  
Keitaro Sofue ◽  
Claude B. Sirlin ◽  
Brian C. Allen ◽  
Rendon C. Nelson ◽  
Carl L. Berg ◽  
...  

2021 ◽  
Author(s):  
HuiFang Li ◽  
Wei Huang ◽  
Wei Zheng ◽  
Qing Li ◽  
YunZhu Dai ◽  
...  

Abstract Background: Contrast-enhanced Ultrasonography Liver Imaging Reporting and Data System (CEUS LI-RADS) released by American College of Radiology was a widely used reporting system for patients at risk with hepatocellular carcinoma (HCC). In CEUS LI-RADS, the categories range from definitely benign (LR-1), probably begin (LR-2), intermediate probability of malignancy (LR-3), probably HCC (LR-4) to definitely HCC (LR-5), malignancy (LR-M), or definite tumor in vein (LR-TIV). Methods: We searched MEDLINE, Web of Science, Cochrane, Embase, and Chinese databases to obtain eligible studies reporting on the diagnostic performance of CEUS LI-RADS in patients at risk for HCC. Results: Twelve studies were eligible in the analysis, including 5275 patients, 5739 observations, and 4066 HCCs. The pooled sensitivity and specificity were 70% (95% Confidence Interval [CI] 65%-74%), 94% (95% CI, 91%-96%) of LR-5 category as predictors of HCC, respectively. The pooled sensitivity and specificity of LR-M category as a predictor of non-HCC malignancy were 83% (95% CI, 71%-91%), 94% (95% CI 88%-97%), respectively. The pooled proportions of HCCs were 1% (95% CI 0%-6%) for LR-2, 20% (95% CI, 9%-34%) for LR-3, 78% (95% CI, 67%-88%) for LR-4, 97% (95% CI, 94%-99%) for LR-5, 40% (95% CI, 23%–58%) for LR-M and 100% (95% CI, 93%–100%) for LR-TIV.Conclusion: CEUS LI-RADS is an important tool for the diagnosis of HCC.


2017 ◽  
Vol 43 (7) ◽  
pp. 1627-1633 ◽  
Author(s):  
Jennifer Y. Lee ◽  
Eugene J. Huo ◽  
Stefanie Weinstein ◽  
Charmaine Santos ◽  
Alexander Monto ◽  
...  

2019 ◽  
Vol 28 (4) ◽  
pp. 449-456 ◽  
Author(s):  
Angelo Simili ◽  
Giuseppe Mazzella ◽  
Federico Ravaioli ◽  
Davide Festi ◽  
Maria Letizia Bacchi-Reggiani ◽  
...  

Background and Aims: Cirrhotic patients with hepatitis C virus (HCV) infection remain at risk of developing hepatocellular carcinoma (HCC) even after the sustained virologic response (SVR). We aimed to evaluate whether the IL28 (rs12979860) single nucleotide polymorphism (SNP) may constitute a predisposing genetic factor and to identify the SVR patients at risk of HCC. Methods: Two hundred patients undergoing DAAs treatment for chronic hepatitis C with advanced fibrosis (F3- F4) were consecutively enrolled. Besides normal routine laboratory testing for HCV, patients’ sera were evaluated also for retinol, retinol-binding protein 4 and the following SNPs: PNPLA3 (rs738409), TM6SF2 (rs58542926), MBOAT7 (rs641738), IL28B (rs12979860), TIMP-1 (rs4898), TIMP-2 (rs8179090), NF-kB promoter (rs28362491). Statistical analyses were conducted using Stata/SE 14.2 statistical software (Stata Corp, College Station, TX). Results: Almost all patients (197/200) obtained SVR24. Seventeen patients had a previous history of treated HCC before DAAs. Six patients developed HCC recurrence and five patients developed de novo HCC after a mean period of 18 months since EOT. All these patients had SVR. A significant association between IL28B – TT genotype and HCC development after DAAs therapy was observed (OR 4.728, CI 95% 1.222 – 18.297, p=0.024). Conclusion: IL28B rs12979860 polymorphism was significantly associated with HCC development after DAAs. Assessment of this SNP may better identify patients at risk of developing HCC after treatment. Further prospective studies are required to confirm these hypotheses.


Sign in / Sign up

Export Citation Format

Share Document