Ultrasound Habitat Radiomics Plus Clinical Features for Pre‐Operative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

The habitat model demonstrated superior predictive performance compared with models based solely on ultrasound radiomics or clinical features, and the multimodal approach yielded the best overall accuracy. This combined model offers a promising non-invasive tool for pre-operative assessment of SLN status in patients with BC and may assist clinical decision-making.

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Publication Details

Journal
Journal of Ultrasound in Medicine
Published
2025-11-27
DOI
https://doi.org/10.1002/jum.70129
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Ultrasound Habitat Radiomics Plus Clinical Features for Pre‐Operative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

Tiantian Ye, Wen Liang, Ming Hao, Yiwei Wang et al.
1 citations
Journal of Ultrasound in Medicine
Radiomics and Machine Learning in Medical Imaging
1.36
article

Ultrasound Habitat Radiomics Plus Clinical Features for Pre‐Operative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

Tiantian Ye, Wen Liang, Ming Hao, Yiwei Wang, Peng Han, Mingjie Gao
article en
1 citations

Abstract

The habitat model demonstrated superior predictive performance compared with models based solely on ultrasound radiomics or clinical features, and the multimodal approach yielded the best overall accuracy. This combined model offers a promising non-invasive tool for pre-operative assessment of SLN status in patients with BC and may assist clinical decision-making.

Journal of Ultrasound in Medicine
Beijing Luhe Hospital Affiliated to Capital Medical University (CN)
Openalex Percentile: Top 14%
Radiomics and Machine Learning in Medical Imaging
1.36
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