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

列线图 医学 乳腺癌 转移 逻辑回归 放射科 淋巴结 肿瘤科 多元分析 内科学 癌症
作者
Wengcheng Fong,Luyuan Tan,Cui Tan,Hongli Wang,Fengtao Liu,Huan Tian,Shiyu Shen,Ran Gu,Yue Hu,Xiaofang Jiang,Jingsi Mei,Jing Liang,Tingting Hu,Kai Chen,Fengyan Yu
出处
期刊:European Radiology [Springer Science+Business Media]
卷期号:32 (12): 8200-8212 被引量:19
标识
DOI:10.1007/s00330-022-08855-8
摘要

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.We prospectively evaluated 593 consecutive female participants who were diagnosed with cT1-3N0-1M0 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.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.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.• We developed two preoperative nomograms to predict axillary lymph node status based on ultrasonographic-clinicopathologic features. • Nomogram A was used to predict axillary lymph node metastasis (presence vs. absence). The AUCs in the training and validation groups were 0.83 and 0.78, respectively. Nomogram B was used to estimate the number of metastatic lymph nodes ( ≤ 2 vs. > 2). The AUCs in the training and validation group were 0.87 and 0.87, respectively. • Our nomograms may help clinicians weigh the risks and benefits of axillary surgery more appropriately.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
brevo完成签到 ,获得积分10
刚刚
1秒前
3秒前
科研通AI6.2应助热心小蕊采纳,获得10
3秒前
xxxdie发布了新的文献求助10
5秒前
5秒前
5秒前
6秒前
英姑应助Brave采纳,获得10
6秒前
科研通AI6.2应助tes02采纳,获得10
7秒前
7秒前
傻傻的砖家完成签到,获得积分10
7秒前
hzl发布了新的文献求助10
8秒前
8秒前
9秒前
渊仔码头完成签到,获得积分10
9秒前
10秒前
舒心睿渊发布了新的文献求助10
11秒前
灵巧慕青发布了新的文献求助200
11秒前
丘比特应助多点好运采纳,获得10
11秒前
13秒前
wade2016发布了新的文献求助10
13秒前
13秒前
忧虑的靖巧完成签到 ,获得积分0
14秒前
CNNC完成签到,获得积分10
14秒前
14秒前
nlcoisini应助小妖采纳,获得10
14秒前
CipherSage应助why采纳,获得10
15秒前
16秒前
多少完成签到,获得积分10
18秒前
Cookie发布了新的文献求助10
19秒前
hhee发布了新的文献求助10
19秒前
19秒前
19秒前
20秒前
hzl完成签到,获得积分10
20秒前
思源应助橙橙采纳,获得30
20秒前
ceploup发布了新的文献求助10
20秒前
haiba发布了新的文献求助10
23秒前
炜大的我应助坚强的烤鸡采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7624884
求助须知:如何正确求助?哪些是违规求助? 9199878
关于积分的说明 19724179
捐赠科研通 7195890
什么是DOI,文献DOI怎么找? 3273588
关于科研通互助平台的介绍 2435754
邀请新用户注册赠送积分活动 2269423