Yang Daqing, Wu Beilei, Liu Jisheng, Li Wencai, Wang Rongjian, Shi Yixiong
Altern Ther Health Med. 2025 Jan;31(1):156-160.
In colorectal cancer (CRC), understanding lymph node metastasis (LNM) is critical for effective treatment. Better approaches are required for identifying and assessing the risk contributions of factors influencing lymph node metastasis in colorectal cancer.
This study aims to analyze factors associated with LNM in CRC and develop a risk prediction model.
A retrospective cohort study was conducted and a total of 181 CRC patients admitted between March 2020 and April 2023 were selected as research participants. Among them, 47 patients developed LNM, while the remaining 134 did not. Clinical data, including age, sex, pathological stages, were collected. Logistic regression was employed to identify factors influencing LNM in CRC, forming the basis for constructing a risk model. The diagnostic efficiency of this model was assessed through receiver operating characteristic (ROC) curves.
Tumor nodules and histological types showed no correlation with LNM in CRC (P > .05). However, pathological staging, vascular and neural invasion, use of VEGF inhibitors, and preoperative CEA were identified as independent risk factors for LNM in CRC (P < .05). The established model demonstrated a good fit with the observations. ROC curve analysis indicated an area under the curve (AUC) of 0.884 for predicting LNM in CRC, signifying excellent predictive performance.
The risk model, formulated on factors associated with LNM in CRC, serves as a efficient tool in assessing the probability of LNM. It provides invaluable insights that can significantly enhance clinical approaches to the diagnosis and treatment of CRC in the future.
在结直肠癌(CRC)中,了解淋巴结转移(LNM)对于有效治疗至关重要。需要更好的方法来识别和评估影响结直肠癌淋巴结转移的因素的风险贡献。
本研究旨在分析结直肠癌中与LNM相关的因素并建立风险预测模型。
进行了一项回顾性队列研究,选取2020年3月至2023年4月期间收治的181例CRC患者作为研究对象。其中,47例发生LNM,其余134例未发生。收集了包括年龄、性别、病理分期等临床数据。采用逻辑回归分析确定影响结直肠癌LNM的因素,为构建风险模型奠定基础。通过受试者工作特征(ROC)曲线评估该模型的诊断效率。
肿瘤结节和组织学类型与结直肠癌的LNM无相关性(P > 0.05)。然而,病理分期、血管和神经侵犯、VEGF抑制剂的使用以及术前CEA被确定为结直肠癌LNM的独立危险因素(P < 0.05)。建立的模型与观察结果拟合良好。ROC曲线分析显示,预测结直肠癌LNM的曲线下面积(AUC)为0.884,表明具有良好的预测性能。
基于结直肠癌中与LNM相关因素制定的风险模型,是评估LNM可能性的有效工具。它提供了宝贵的见解,可显著改善未来结直肠癌的临床诊断和治疗方法。