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
天天快乐应助敏感草丛采纳,获得10
刚刚
nonononono发布了新的文献求助10
1秒前
Akim应助圈儿多尼采纳,获得10
1秒前
1秒前
木槐完成签到,获得积分10
2秒前
3秒前
虚拟刺客完成签到 ,获得积分10
4秒前
4秒前
7秒前
7秒前
坚定大楚发布了新的文献求助10
7秒前
7秒前
爱学习的小张完成签到,获得积分10
7秒前
9秒前
Yan发布了新的文献求助10
9秒前
彭于晏应助黄老板采纳,获得10
9秒前
CodeCraft应助flower采纳,获得10
10秒前
自然听兰发布了新的文献求助30
10秒前
10秒前
10秒前
无语的代真完成签到,获得积分10
10秒前
Virginkiller1984完成签到 ,获得积分10
11秒前
今后应助Raftaar采纳,获得10
12秒前
无花果应助你一定能发表采纳,获得10
14秒前
迅速冬瓜完成签到,获得积分10
14秒前
爆米花应助刘述采纳,获得10
15秒前
日光倾城发布了新的文献求助10
15秒前
Huang发布了新的文献求助10
15秒前
16秒前
16秒前
Yan完成签到,获得积分10
16秒前
CJH完成签到,获得积分0
17秒前
科研通AI6.2应助雨雨呀嘿采纳,获得10
19秒前
顾轶尘完成签到,获得积分10
19秒前
21秒前
Wooyun完成签到,获得积分20
21秒前
21秒前
22秒前
稳重的咖啡豆完成签到,获得积分10
22秒前
深情安青应助木子林希儿采纳,获得200
22秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 7570042
求助须知:如何正确求助?哪些是违规求助? 9150109
关于积分的说明 19569257
捐赠科研通 7155687
什么是DOI,文献DOI怎么找? 3263810
关于科研通互助平台的介绍 2429260
邀请新用户注册赠送积分活动 2253842