肝癌电子杂志 ›› 2023, Vol. 10 ›› Issue (4): 51-54.

• 论著 • 上一篇    下一篇

基于肝细胞癌临床数据预测淋巴结转移列线图的构建

张煜坤, 何渡*, 赖琳, 段春燕, 吕鹏   

  1. 恩施土家族苗族自治州中心医院 肿瘤科,湖北恩施 445000
  • 收稿日期:2023-03-19 出版日期:2023-12-31 发布日期:2024-02-05
  • 通讯作者: *何渡,E-mail:65637121@qq.com
  • 基金资助:
    湖北省卫生健康委科研项目(WJ2021Q019)

Construction of Nomogram for predicting lymph node metastasis based on clinical data of hepatocellular carcinoma

Zhang Yukun, He Du*, Lai Lin, Duan Chunyan, Lyu Peng   

  1. Department of Oncology,Enshi Tujia and Miao Autonomous Prefecture Central Hospital, Enshi 445000,Hubei,China
  • Received:2023-03-19 Online:2023-12-31 Published:2024-02-05
  • Contact: *He Du,E-mail:65637121@qq.com

摘要: 目的: 利用肝细胞癌(HCC)患者临床数据构建预测淋巴结转移危险因素的Nomogram模型。
方法: 收集恩施土家族苗族自治州中心医院2016—2021年收治的328例HCC患者临床数据,将50例淋巴结转移患者纳入转移组,余278例纳入对照组。多因素Logistic回归分析寻找淋巴结转移的风险因素,在此基础上构建Nomogram模型。
结果: 甲胎蛋白(>243.35 μg/L )、γ-谷氨酰基转移酶(>181.82 U/L)、肿瘤最大直径(>6.17 mm)、肿瘤个数(>1个 )是HCC患者淋巴结转移的危险因素(均P<0.05)。Nomogram模型被成功构建,内部验证结果显示预测HCC患者淋巴结转移C-index为0.805(95%CI为0.086~1.325),风险阈值>0.058,且临床净收益均高于甲胎蛋白、γ- 谷氨酰基转移酶、肿瘤直径、肿瘤个数。
结论: 基于HCC临床数据成功构建了预测淋巴结转移的Nomogram模型,该模型对于临床筛查预判HCC患者可能出现淋巴结转移具有实用价值。

关键词: 肝细胞癌, 风险因素, 淋巴结转移, 列线图

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