Predicting axillary lymph node metastasis in breast cancer based on ultrasound radiofrequency time-series analysis

The combined model (clinical + ultrasonic + URF parameters) could be used preoperatively to predict lymph node status, offering valuable input for the design of individualized surgical approaches.

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Publication Details

Journal
Acta Radiologica
Published
2024-09-02
DOI
https://doi.org/10.1177/02841851241268463
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.29
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article

Predicting axillary lymph node metastasis in breast cancer based on ultrasound radiofrequency time-series analysis

Alberto Traverso, Ruifang Guo, Linxue Qian, Pengfei Sun et al.
1 citations
Acta Radiologica
Breast Cancer Treatment Studies
0.29
article

Predicting axillary lymph node metastasis in breast cancer based on ultrasound radiofrequency time-series analysis

Alberto Traverso, Ruifang Guo, Linxue Qian, Pengfei Sun, Xiangdong Hu, Zhixiang Wang, André Dekker
article en
1 citations

Abstract

The combined model (clinical + ultrasonic + URF parameters) could be used preoperatively to predict lymph node status, offering valuable input for the design of individualized surgical approaches.

Acta RadiologicaVol. 65(10)
Capital Medical University (CN), Maastricht University Medical Centre (NL), San Raffaele University of Rome (IT), Beijing Friendship Hospital (CN), Maastro Clinic (NL)
Good health and well-being
Openalex Percentile: Top 40%
Breast Cancer Treatment Studies
0.29
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