| 吴 莉,邓丽贞,蒋 进,肖 琳,王月爱.基于多模态超声参数、临床病理特征的乳腺癌腋窝淋巴结
转移预测模型构建与评价[J].,2024,(22):4259-4261 |
| 基于多模态超声参数、临床病理特征的乳腺癌腋窝淋巴结
转移预测模型构建与评价 |
| Construction and Evaluation of Predictive Model for Axillary Lymph Node Metastasis of Breast Cancer Based on Multimodal Ultrasound Parametersand Clinicopathological Features |
| 投稿时间：2024-05-12 修订日期：2024-05-30 |
| DOI：10.13241/j.cnki.pmb.2024.22.016 |
| 中文关键词: 乳腺癌 腋窝淋巴结转移 多模态超声参数 病理特征 Nomogram预测模型 |
| 英文关键词: Breast cancer Axillary lymph node metastasis Multimodal ultrasound parameters Pathological features Nomogram prediction model |
| 基金项目:湖南省卫生健康委科研计划项目（D202309027332） |
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| 中文摘要: |
| 摘要 目的：探讨基于多模态超声参数、临床病理特征构建的列线图（Nomogram）预测模型对乳腺癌（BC）发生腋窝淋巴结转移（ALNM）的预测价值。方法：根据251例BC患者是否发生ALNM将其分为ALNM组（102例）和非ALNM组（149例）。比较两组多模态超声参数及临床病理特征。采用多因素Logistic回归分析BC患者发生ALNM的影响因素，并Nomogram预测模型。结果：ALNM组淋巴结短径、淋巴结皮质厚度、淋巴结短径/长径、弹性应变率比值（SR）、弹性模量最大值（Emax）、弹性模量最小值（Emin）、弹性模量平均值（Emean）、标准差（SD）、彩色多普勒血流显像（CDFI）血流分型III型/IV型比例、淋巴血管浸润比例、浸润性癌比例、组织学分级Ⅲ级比例均高于非ALNM组（P＜0.05）。合并CDFI血流分型III型/IV型、发生淋巴血管浸润、组织学分级Ⅲ级、较高的淋巴结短径/长径、SR、Emax是BC患者发生ALNM的危险因素（P＜0.05）。Nomogram预测模型的预测曲线与理想曲线贴合度良好，一致性指数为0.897。结论：基于多模态超声参数、临床病理特征构建的Nomogram模型在预测BC患者发生ALNM风险方面具有较高的价值。 |
| 英文摘要: |
| ABSTRACT Objective: To explore the predictive value of nomogram (Nomogram) prediction model based on multimodal ultrasound parameters and clinicopathological features for axillary lymph node metastasis (ALNM) of breast cancer (BC). Methods: 251 BC patients were divided into ALNM group (102 cases) and Non-ALNM group (149 cases) according to whether ALNM occurred in BC patients. The multimodal ultrasound parameters and clinicopathological features were compared in two groups. The influencing factors of ALNM in BC patients were analyzed by multivariate Logistic regression, and the Nomogram prediction model was constructed. Results: The lymph node short diameter, lymph node cortical thickness, lymph node short diameter/long diameter, elastic strain rate ratio (SR), maximum elastic modulus (Emax), minimum elastic modulus (Emin), mean elastic modulus (Emean), standard deviation (SD), color Doppler flow imaging (CDFI) blood flow classification III/IV type ratio of lymph nodes, lymphatic vascular invasion proportion, invasive carcinoma proportion and histological grade III proportion in ALNM group were higher than those in Non-ALNM group(P<0.05). Combined with CDFI blood flow classification III/IV type, lymphatic vascular invasion, histological grade III, higher lymph node short diameter/long diameter, SR and Emax were risk factors for ALNM in BC patients(P<0.05). The prediction curve of the Nomogram prediction model was in good agreement with the ideal curve, and the consistency index was 0.897. Conclusion: The Nomogram model based on multimodal ultrasound parameters and clinicopathological features has a high value in predicting the risk of ALNM in BC patients. |
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