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...

Full description

Saved in:

Bibliographic Details
Published in:	Scientific reports Vol. 11; no. 1; pp. 19972 - 11
Main Authors:	Meng, Lei, Zheng, Ting, Wang, Yuanyuan, Li, Zhao, Xiao, Qi, He, Junfeng, Tan, Jinxiang
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 07.10.2021 Nature Publishing Group Nature Portfolio
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!