Axillary lymph node status remains the most important prognostic factor in the patients with breast cancer and is helpful in therapeutic decisions regarding adjuvant treatment. According to researches
there are many complications in the patients who receive axillary lymph node dissection
so preoperative evaluation of lymph node is really important. With the rapid development in ultrasonic technology
high frequency and high resolution ultrasound has become the preferred method for clinical assessment of lymph nodes. The present paper focuses on gray-scale ultrasound
color-Doppler ultrasound
acoustic elastgraphy and contrast-enhanced ultrasound. The advances in application of ultrasound in theoretical study and diagnosis of lymph nodes are reviewed to provide basis for identifying the nature and clinical diagnosis of lymph nodes.
Application value of a multifactorial predictive model based on clinical, pathological, and ultrasound features in the preoperative assessment of lymphovascular invasion in breast cancer
The value of automatic segmentation radiomics features in predicting pathological complete response after neoadjuvant therapy for breast cancer
Diagnostic performance of artificial intelligence ChatGPT-4V in differentiating benign and malignant breast lesions on ultrasound
Risk assessment of sentinel lymph node metastasis in breast cancer using a radiomics model based on B-mode ultrasound and color doppler ultrasound
Value of deep learning ultrasound radiomics in predicting axillary lymph node metastasis of breast cancer
Related Author
TANG Gege
ZHAN Yunyun
BI Yu
WANG Jiajia
WU Xiabi
PENG Mei
WU Linyong
LI Shaofeng
Related Institution
Department of Ultrasound Medicine, The Second Hospital of Anhui Medical University
Department of Ultrasound, Maoming People's Hospital
Department of Ultrasound, The First Hospital of Qinhuangdao
Qinhuangdao Health School
Department of Ultrasound, Shanghai Pudong New Area People's Hospital