Abstract: Objective:To construct a Nomogram prediction model of risk factors for lymph node metastasis in patients with hepatocellular carcinoma (HCC) clinical data.
Methods:328 patients with hepatocellular carcinoma(HCC) in Enshi Tujia and Miao Autonomous Prefecture Central Hospital were collected, and 50 patients with lymph node metastases were included in the metastasis group, and the remaining 278 patients were included in the control group.Logistic regression analysis looked for risk factors for lymph node metastasis, based on which the Nomogram model was constructed.
Results:Alpha fetoprotein（AFP）(>243.35 μg/L), γ-Gluyl transferase(γ-GT>181.82 U/L), tumor maximum diameter (>6.17 mm) and tumor number (>1) were a risk factor for lymph node metastasis in HCC patients(all P<0.05). A Nomogram model for predicting lymph node metastasis in HCC patients was constructed. The internal verification results showed that the C-index is 0.805 (95%CI: 0.086-1.325),and risk threshold > 0.058. But the Nomogram model provided a clinical net benefit and was higher than that of AFP, γ-GT, tumor diameter, and tumor number.
Conclusions:In this study, a Nomogram model for predicting lymph node metastasis was constructed based on the clinical data of HCC. This model has practical value for clinical screening to predict the possible lymph node metastasis in HCC patients.

Key words: Hepatocellular carcinoma, Risk factors, Lymph node metastasis, Nomogram