Radiomic Nomogram for Predicting Axillary Lymph Node Metastasis in Patients with Breast Cancer

Author:

Chen Yusi,Li Jinping,Zhang Jin,Yu Zhuo,Jiang HuijieORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference48 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J Clin,2018

2. Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study;Mao;Eur Radiol,2020

3. Prediction of axillary lymph node metastasis in breast cancer using intra-peritumoral textural transition analysis based on dynamic contrast-enhanced magnetic resonance imaging;Zhan;Acad Radiol,2022

4. Intraoperative prediction of non-sentinel lymph node metastasis based on the molecular assay in breast cancer patients;Sun;Cancer Manag Res,2019

5. A prospective validation cohort study of a prediction model on non-sentinel lymph node involvement in early breast cancer;Qiao;Ann Surg Oncol,2020

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