Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features

Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features

Abstract To develop and validate a machine learning-based prediction model to predict axillary lymph node (ALN) metastasis in triple negative breast cancer (TNBC) patients using magnetic resonance imaging (MRI) and clinical characteristics. This retrospective study included TNBC patients from the Fi...

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Bibliographic Details
Main Authors: Yunyun Shen, Renjun Huang, Yinghui Zhang, Jianguo Zhu, Yonggang Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Triple-negative breast cancer
Axillary lymph node metastasis
Radiomics
Magnetic resonance imaging
Machine learning, nomogram
Prediction model
Online Access:https://doi.org/10.1038/s41598-025-08001-6
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https://doi.org/10.1038/s41598-025-08001-6

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