| Autor: |
Tran, Vinh Thanh, Phan, Thang Thanh, Nguyen, Tran Bao, Le, Thao Thi, Tran, Thanh-Tram Thi, Nguyen, Anh-Thu Thi, Nguyen, Hang Thuy, Nguyen, Ngoc-Diep Bui, Ho, Toan Trong, Pho, Suong Phuoc, Nguyen, Thuy-An Thi, Nguyen, Hue Thi, Mai, Huyen Thi, Pham, Bich-Tuyen Thi, Nguyen, Khoa Dinh, Le, Binh Thanh, Nguyen, Thuc Tri, Nguyen, Son Truong |
| Předmět: |
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| Zdroj: |
BMC Research Notes; 11/6/2023, Vol. 16 Issue 1, p1-6, 6p |
| Abstrakt: |
Objective: This study aims to describe the diagnostic performance of alpha-fetoprotein (AFP), alpha-fetoprotein L3 isoform (AFP-L3), protein induced by vitamin K absence II (PIVKA-II), and combined biomarkers for non-B non-C hepatocellular carcinoma (NBNC-HCC). Results: A total of 681 newly-diagnosed primary liver disease subjects (385 non-HCC, 296 HCC) who tested negativity for the hepatitis B surface antigen (HBsAg) and hepatitis C antibody (anti-HCV) enrolled in this study. At the cut-off point of 3.8 ng/mL, AFP helps to discriminate HCC from non-HCC with an area under the curve (AUC) value of 0.817 (95% confidence interval [CI]: 0.785–0.849). These values of AFP-L3 (cut-off 0.9%) and PIVKA-II (cut-off 57.7 mAU/mL) were 0.758 (95%CI: 0.725–0.791) and 0.866 (95%CI: 0.836–0.896), respectively. The Bayesian Model Averaging (BMA) statistic identified the optimal model, including patients' age, aspartate aminotransferase, AFP, and PIVKA-II combination, which helps to classify HCC with better performance (AUC = 0.896, 95%CI: 0.872–0.920, P < 0.001). The sensitivity and specificity of the optimal model reached 81.1% (95%CI: 76.1–85.4) and 83.2% (95%CI: 78.9–86.9), respectively. Further analyses indicated that AFP and PIVKA-II markers and combined models have good-to-excellent performance detecting curative resected HCC, separating HCC from chronic hepatitis, dysplastic, and hyperplasia nodules. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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