Development of a prediction model based on LASSO regression to evaluate the risk of non-sentinel lymph node metastasis in Chinese breast cancer patients with 1–2 positive sentinel lymph nodes

This study aimed to develop an intraoperative prediction model to evaluate the risk of non-sentinel lymph node (NSLN) metastasis in Chinese breast cancer patients with 1–2 positive sentinel lymph nodes (SLNs). The clinicopathologic data of 714 patients with 1–2 positive SLNs were investigated. Univa...

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Veröffentlicht in:	Scientific reports Jg. 11; H. 1; S. 19972 - 11
Hauptverfasser:	Meng, Lei, Zheng, Ting, Wang, Yuanyuan, Li, Zhao, Xiao, Qi, He, Junfeng, Tan, Jinxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 07.10.2021 Nature Publishing Group Nature Portfolio
Schlagworte:	631/67 631/67/1347 692/4028 692/4028/546 692/4028/67 Adult Aged Aged, 80 and over Area Under Curve Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - pathology China Decision Support Techniques ErbB-2 protein Female Humanities and Social Sciences Humans Logistic Models Lymph nodes Lymph Nodes - pathology Lymphatic Metastasis - diagnosis Lymphatic Metastasis - pathology Lymphatic system Metastases Metastasis Middle Aged multidisciplinary Patients Prediction models Reproducibility of Results Risk factors Science Science (multidisciplinary) Sentinel Lymph Node Biopsy Training Tumors China
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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