Liu ZJ, Xu Y, Wang WX, Guo B, Zhang GY, Luo GC, Wang Q. Development and application of hepatocellular carcinoma risk prediction model based on clinical characteristics and liver related indexes. World J Gastrointest Oncol 2023; 15(8): 1486-1496 [PMID: 37663947 DOI: 10.4251/wjgo.v15.i8.1486]
Corresponding Author of This Article
Qiang Wang, PhD, Research Assistant Professor, Department of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China. wqiang_1981@126.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Table 2 Alpha-fetoprotein, protein induced by vitamin K absence or antagonist-II, or both in the diagnosis of hepatocellular carcinoma
Training cohort
Validation cohort
AUC (95%CI)
SEN (%)
SPE (%)
PPV (%)
NPV (%)
AUC (95%CI)
SEN (%)
SPE (%)
PPV (%)
NPV (%)
HCC
AFP
0.812 (0.788-0.815)
49.19
93.00
42.21
94.63
0.845 (0.786-0.880)
52.56
91.00
49.04
92.09
PIVKA-II
0.882 (0.865-0.903)
63.91
94.93
51.21
96.93
0.878 (0.839-0.916)
64.74
94.53
57.35
95.93
AFP + PIVKA-II
0.896 (0.877-0.915)
69.35
95.82
55.51
97.65
0.888 (0.851-0.924)
67.95
95.17
59.83
96.56
Early-stage HCC
AFP
0.860 (0.792-0.928)
51.06
97.49
82.77
89.40
0.714 (0.642-0.787)
14.55
98.49
72.70
80.66
PIVKA-II
0.863 (0.790-0.936)
40.43
96.98
75.97
87.33
0.868 (0.802-0.935)
52.73
96.48
80.55
88.07
AFP + PIVKA-II
0.923 (0.869-0.978)
63.83
96.98
83.31
91.90
0.869 (0.804-0.933)
50.91
95.98
77.78
87.61
Table 3 Diagnostic performance of hepatocellular carcinoma, early hepatocellular carcinoma, and different subgroups of hepatocellular carcinoma in the NSMC-hepatocellular carcinoma model
Cut-off value
Training cohort
Validation cohort
AUC (95%CI)
SEN (%)
SPE (%)
PPV (%)
NPV (%)
AUC (95%CI)
SEN (%)
SPE (%)
PPV (%)
NPV (%)
HCC
0.22
0.960 (0.950-0.971)
94.40
95.35
87.25
98.10
0.966 (0.945-0.986)
90.00
94.20
89.87
95.47
Early HCC
0.946 (0.901-0.991)
85.93
93.62
61.11
98.28
0.947 (0.901-0.994)
89.10
98.49
94.23
97.02
Table 4 Proposed risk scale and corresponding probability of predictive risk of hepatocellular carcinoma
Risk level
Probability of risk
PPV (%)
NPV (%)
Low risk
0.000-0.007
NA
≥ 99.00
Moderate risk
0.008-0.220
NA
< 99.00
High risk
0.221-0.940
< 99.00
NA
Most likely HCC
0.941-1.000
≥ 99.00
NA
Citation: Liu ZJ, Xu Y, Wang WX, Guo B, Zhang GY, Luo GC, Wang Q. Development and application of hepatocellular carcinoma risk prediction model based on clinical characteristics and liver related indexes. World J Gastrointest Oncol 2023; 15(8): 1486-1496