Prognosticating axillary lymph node metastasis in breast cancer through integrated photoacoustic imaging, ultrasound, and clinical parameters

Integrating SO<sub>2</sub> measurements with traditional clinical and ultrasound data can substantially enhance the prediction of ALNM in BC patients. This combined model offers a comprehensive and reliable decision support tool for the preoperative risk assessment of axillary lymph nodes in BC.

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Publication Details

Journal
Breast Cancer Research
Published
2025-07-01
DOI
https://doi.org/10.1186/s13058-025-02073-y
Citations
1
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.67

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article

Prognosticating axillary lymph node metastasis in breast cancer through integrated photoacoustic imaging, ultrasound, and clinical parameters

Zhibin Huang, Jinfeng Xu, Fajin Dong, Guoqiu Li et al.
1 citations
Breast Cancer Research
Photoacoustic and Ultrasonic Imaging
0.67
article

Prognosticating axillary lymph node metastasis in breast cancer through integrated photoacoustic imaging, ultrasound, and clinical parameters

Zhibin Huang, Jinfeng Xu, Fajin Dong, Guoqiu Li, Hongtian Tian, Sijie Mo, Jing Chen, Shuzhen Tang, Huaiyu Wu, Mengyun Wang
article en
1 citations

Abstract

Integrating SO<sub>2</sub> measurements with traditional clinical and ultrasound data can substantially enhance the prediction of ALNM in BC patients. This combined model offers a comprehensive and reliable decision support tool for the preoperative risk assessment of axillary lymph nodes in BC.

Breast Cancer ResearchVol. 27(1)
Jinan University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 30%
Photoacoustic and Ultrasonic Imaging
0.67
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