Nomogram models for prediction of axillary lymph node metastasis in breast cancer patients.

ABSTRACT:

Background

The purpose of this study was to establish two preoperative nomogram models to evaluate the status of axillary lymph nodes (ALNs) in early breast cancer patients based on ultrasound data, PET/CT data, and clinicopathological features. Accordingly, more appropriate treatment strategies for breast cancer patients could be selected.

Methods

From April 2017 to April 2023, a total of 254 patients from the Clinical Data Research (CDR) database of Peking Union Medical College Hospital were included in this study and randomly assigned to the training and internal testing groups at a ratio of 8:2, with outcome variables being axillary lymph nodes metastasis (ALNM) and high nodal tumour burden (HNTB). The predictive factors determined by Least Absolute Shrinkage and Selecti

SUBMITTER: Deng Z 

PROVIDER: S-EPMC12659588 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature