Non-Invasive Diagnostic Criteria for Hepatocellular Carcinoma in Hepatitis B Virus-Endemic Areas: Is Cirrhosis Indispensable?

2018 ◽  
Vol 36 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Xiao-wen Huang ◽  
Bing Liao ◽  
Yang Huang ◽  
Jin-yu Liang ◽  
Quan-yuan Shan ◽  
...  

Aim: To confirm whether cirrhosis is indispensable for the non-invasive diagnostic criteria for hepatocellular carcinoma (HCC) in hepatitis B virus (HBV)-endemic areas. Methods: Between January 2014 and December 2014, a total of 409 patients with pathologically proven focal liver lesions who underwent contrast-enhanced ultrasound (CEUS) were recruited from our institution. Clinical liver cirrhosis, HBV/HCV infection and HCC-typical vascular pattern of the targeted lesion on CEUS were evaluated. The following 3 criteria were applied to these patients to diagnose HCC: criterion 1, clinical liver cirrhosis and HCC-typical vascular pattern; criterion 2, HBV/HCV infection and HCC-typical vascular pattern; criterion 3, HBV/HCV infection or clinical liver cirrhosis and HCC-typical vascular pattern. Pathological reports were considered the gold standard. Results: A total of 311 patients had confirmed HCC by pathology. The sensitivity, specificity, accuracy, positive predictive value, negative predictive value and area under the ROC curve for criterion 1 were 29.6, 90.8, 44.3, 91.1, 28.9, and 0.60% respectively. For criterion 2, they were 83.3, 74.5, 81.2, 91.2, 58.4, and 0.79%, respectively, and for criterion 3, they were 86.2, 72.5, 82.9, 90.9, 62.3, and 0.79% respectively. Conclusions: In HBV-endemic areas, when using the HBV/HCV infection instead of cirrhosis as the precondition of the non-invasive diagnostic criteria for HCC, we should be aware of the potential false positive. Cirrhosis still plays an important role in the non-invasive diagnostic criteria for HCC because of the high specificity.

2011 ◽  
Vol 140 (5) ◽  
pp. S-924-S-925 ◽  
Author(s):  
Hillary Lin ◽  
Nghiem B. Ha ◽  
Deawodi Ladzekpo ◽  
Aijaz Ahmed ◽  
Walid Ayoub ◽  
...  

2019 ◽  
Vol 11 (8) ◽  
pp. 665-677 ◽  
Author(s):  
Yiyu Lu ◽  
Zhaoyuan Fang ◽  
Meiyi Li ◽  
Qian Chen ◽  
Tao Zeng ◽  
...  

Abstract Hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths in Asia and Africa. Developing effective and non-invasive biomarkers of HCC for individual patients remains an urgent task for early diagnosis and convenient monitoring. Analyzing the transcriptomic profiles of peripheral blood mononuclear cells from both healthy donors and patients with chronic HBV infection in different states (i.e. HBV carrier, chronic hepatitis B, cirrhosis, and HCC), we identified a set of 19 candidate genes according to our algorithm of dynamic network biomarkers. These genes can both characterize different stages during HCC progression and identify cirrhosis as the critical transition stage before carcinogenesis. The interaction effects (i.e. co-expressions) of candidate genes were used to build an accurate prediction model: the so-called edge-based biomarker. Considering the convenience and robustness of biomarkers in clinical applications, we performed functional analysis, validated candidate genes in other independent samples of our collected cohort, and finally selected COL5A1, HLA-DQB1, MMP2, and CDK4 to build edge panel as prediction models. We demonstrated that the edge panel had great performance in both diagnosis and prognosis in terms of precision and specificity for HCC, especially for patients with alpha-fetoprotein-negative HCC. Our study not only provides a novel edge-based biomarker for non-invasive and effective diagnosis of HBV-associated HCC to each individual patient but also introduces a new way to integrate the interaction terms of individual molecules for clinical diagnosis and prognosis from the network and dynamics perspectives.


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