Development and application of hepatocellular carcinoma risk prediction model based on clinical characteristics and liver related indexes

doi:10.4251/wjgo.v15.i8.1486

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World Journal of Gastrointestinal Oncology

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World J Gastrointest Oncol. Aug 15, 2023; 15(8): 1486-1496
Published online Aug 15, 2023. doi: 10.4251/wjgo.v15.i8.1486

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
	Cut-off value	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

SEN: Sensitivity; SPE: Specificity; PPV: Positive predictive value; NPV: Negative predictive value; CI: Confidence interval; HCC: Hepatocellular carcinoma; AUC: Area under receiver operating characteristic curve; AFP: Alpha-fetoprotein.

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
URL: https://www.wjgnet.com/1948-5204/full/v15/i8/1486.htm
DOI: https://dx.doi.org/10.4251/wjgo.v15.i8.1486