Ultrasound-based radiomics model for predicting axillary lymph node metastasis of breast cancer

This study developed a predictive model for ALNM based on ultrasound images of ALNs and their peripheral extended regions. The results demonstrated that the combined model incorporating both the lymph node and a 1-mm peripheral extension yielded the best predictive performance. Furthermore, a comprehensive integrated model was established by incorporating clinical and pathological characteristics, which effectively enhanced the prediction of ALNM.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-10-29
DOI
https://doi.org/10.1186/s12880-025-01978-6
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Ultrasound-based radiomics model for predicting axillary lymph node metastasis of breast cancer

Wan‐Ling Liu, Yu Bi, Rubing Li, Peng Mei et al.
2 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
2.72
article

Ultrasound-based radiomics model for predicting axillary lymph node metastasis of breast cancer

Wan‐Ling Liu, Yu Bi, Rubing Li, Peng Mei, Yunyun Zhan
article en
2 citations

Abstract

This study developed a predictive model for ALNM based on ultrasound images of ALNs and their peripheral extended regions. The results demonstrated that the combined model incorporating both the lymph node and a 1-mm peripheral extension yielded the best predictive performance. Furthermore, a comprehensive integrated model was established by incorporating clinical and pathological characteristics, which effectively enhanced the prediction of ALNM.

BMC Medical ImagingVol. 25(1)
Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN)
Openalex Percentile: Top 8%
Radiomics and Machine Learning in Medical Imaging
2.72
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