Predicting the risk of axillary lymph node metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features and the use of nomograms: a prospective single-center observational study

被引：17

作者：

Fong, Wengcheng ^{[1
,2
]}

Tan, Luyuan ^{[1
,2
]}

Tan, Cui ^{[1
,3
]}

Wang, Hongli ^{[1
,4
]}

Liu, Fengtao ^{[1
,4
]}

Tian, Huan ^{[1
,2
]}

Shen, Shiyu ^{[1
,4
]}

Gu, Ran ^{[1
,4
]}

Hu, Yue ^{[1
,4
]}

Jiang, Xiaofang ^{[1
,4
]}

Mei, Jingsi ^{[1
,4
]}

Liang, Jing ^{[1
,4
]}

Hu, Tingting ^{[1
,2
]}

Chen, Kai ^{[1
,2
,5
]}

Yu, Fengyan ^{[1
,2
]}

机构：

[1] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Guangdong Prov Key Lab Malignant Tumor Epigenet &, Guangzhou 510120, Peoples R China

[2] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Breast Tumor Ctr, Dept Breast Surg, 107 Yanjiang West Rd, Guangzhou 510120, Peoples R China

[3] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Pathol, Breast Tumor Ctr, Guangzhou, Peoples R China

[4] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Breast Tumor Ctr, Diagnost Dept, Guangzhou, Peoples R China

[5] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Artificial Intelligence Lab, Guangzhou, Guangdong, Peoples R China

来源：

EUROPEAN RADIOLOGY | 2022年 / 32卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Breast neoplasms; Nomograms; Lymph nodes; Lymphaticmetastasis; POSITIVE SENTINEL NODE; PREOPERATIVE ULTRASOUND; MSKCC NOMOGRAM; BIOPSY; DISSECTION; ONCOLOGY; INVOLVEMENT; MANAGEMENT; MODEL; TRIAL;

D O I：

10.1007/s00330-022-08855-8

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Objectives The purpose of this study was to establish two preoperative nomograms to evaluate the risk for axillary lymph node (ALN) metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features. Methods We prospectively evaluated 593 consecutive female participants who were diagnosed with cT(1-3)N(0-1)M(0) breast cancer between March 2018 and May 2019 at Sun Yat-Sen Memorial Hospital. The participants were randomly classified into training and validation sets in a 4:1 ratio for the development and validation of the nomograms, respectively. Multivariate logistic regression analysis was performed to identify independent predictors of ALN status. We developed Nomogram A and Nomogram B to predict ALN metastasis (presence vs. absence) and the number of metastatic ALNs (<= 2 vs. > 2), respectively. Results A total of 528 participants were evaluated in the final analyses. Multivariable analysis revealed that the number of suspicious lymph nodes, long axis, short-to-long axis ratio, cortical thickness, tumor location, and histological grade were independent predictors of ALN status. The AUCs of nomogram A in the training and validation groups were 0.83 and 0.78, respectively. The AUCs of nomogram B in the training and validation groups were 0.87 and 0.87, respectively. Both nomograms were well-calibrated. Conclusion We developed two preoperative nomograms that can be used to predict ALN metastasis (presence vs. absence) and the number of metastatic ALNs (<= 2 vs. > 2) in early breast cancer patients. Both nomograms are useful tools that will help clinicians predict the risk of ALN metastasis and facilitate therapy decision-making about axillary surgery.

引用

页码：8200 / 8212

页数：13

共 34 条

[1] Utility of Preoperative Ultrasound for Predicting pN2 or Higher Stage Axillary Lymph Node Involvement in Patients With Newly Diagnosed Breast Cancer [J].