Establishment a nomogram model for preoperative prediction of the risk of cholangiocarcinoma with microvascular invasion

IF 3.5 2区医学 Q2 ONCOLOGY

Ejso Pub Date : 2024-11-09 DOI:10.1016/j.ejso.2024.109361

Jingyun Guo , Maobing Wang , Shuyi Xue , Qinlei Wang , Meng Wang , Zhaowei Sun , Juan Feng , Yujie Feng

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引用次数: 0

Abstract

Objectives

The research aimed to create and verify a nomogram model that can predict the likelihood of cholangiocarcinoma with microvascular invasion (MVI).

Methods

The clinical data of 476 patients with surgically confirmed cholangiocarcinoma were collected retrospectively. This included 240 cases of intrahepatic cholangiocarcinoma (iCCA), 85 cases of perihilar cholangiocarcinoma (pCCA), and 151 cases of extrahepatic cholangiocarcinoma (eCCA). Using this data, we conducted forward multivariate regression analysis to identify the factors that influence the risk of preoperative MVI in patients with cholangiocarcinoma. And using these variables, we developed three nomogram models.

Results

The variables in the model for predicting MVI of iCCA were lymph node metastasis, distant metastases, carcinoembryonic antigen, and tumor size, all of which had a significance level of P < 0.05. The internal and external validation consistency index (C-index) were 0.831 and 0.781, respectively. The variables in the model for predicting MVI of pCCA were lymph node metastasis, carcinoembryonic antigen, and tumor size, all of which had a significance level of P < 0.05. The internal and external validation consistency index (C-index) were 0.791 and 0.747. And the variables in eCCA were lymph node metastasis, distant metastases, carcinoembryonic antigen, and tumor size, all of which had a significance level of P < 0.05. The internal and external validation consistency index (C-index) were 0.834 and 0.830.

Conclusions

we have developed and validated a preoperative nomogram model for predicting MVI in patients with iCCA, pCCA, and eCCA.

查看原文本刊更多论文

建立一个用于术前预测胆管癌微血管侵犯风险的提名图模型。

研究目的研究旨在创建并验证一个能预测胆管癌伴微血管侵犯（MVI）可能性的提名图模型：方法：回顾性收集了 476 例经手术确诊的胆管癌患者的临床数据。其中包括 240 例肝内胆管癌（iCCA）、85 例肝周胆管癌（pCCA）和 151 例肝外胆管癌（eCCA）。利用这些数据，我们进行了前向多变量回归分析，以确定影响胆管癌患者术前 MVI 风险的因素。利用这些变量，我们建立了三个提名图模型：结果：预测 iCCA MVI 的模型变量为淋巴结转移、远处转移、癌胚抗原和肿瘤大小，其显著性水平均为 P 结论：我们建立并验证了预测 iCCA、pCCA 和 eCCA 患者 MVI 的术前提名图模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ejso 医学-外科

CiteScore

6.40

自引率

2.60%

发文量

1148

审稿时长

41 days

期刊介绍： JSO - European Journal of Surgical Oncology ("the Journal of Cancer Surgery") is the Official Journal of the European Society of Surgical Oncology and BASO ~ the Association for Cancer Surgery. The EJSO aims to advance surgical oncology research and practice through the publication of original research articles, review articles, editorials, debates and correspondence.