Literature DB >> 32315268

Axillary Nodal Evaluation in Breast Cancer: State of the Art.

Jung Min Chang1, Jessica W T Leung1, Linda Moy1, Su Min Ha1, Woo Kyung Moon1.   

Abstract

Axillary lymph node (LN) metastasis is the most important predictor of overall recurrence and survival in patients with breast cancer, and accurate assessment of axillary LN involvement is an essential component in staging breast cancer. Axillary management in patients with breast cancer has become much less invasive and individualized with the introduction of sentinel LN biopsy (SLNB). Emerging evidence indicates that axillary LN dissection may be avoided in selected patients with node-positive as well as node-negative cancer. Thus, assessment of nodal disease burden to guide multidisciplinary treatment decision making is now considered to be a critical role of axillary imaging and can be achieved with axillary US, MRI, and US-guided biopsy. For the node-positive patients treated with neoadjuvant chemotherapy, restaging of the axilla with US and MRI and targeted axillary dissection in addition to SLNB is highly recommended to minimize the false-negative rate of SLNB. Efforts continue to develop prediction models that incorporate imaging features to predict nodal disease burden and to select proper candidates for SLNB. As methods of axillary nodal evaluation evolve, breast radiologists and surgeons must work closely to maximize the potential role of imaging and to provide the most optimized treatment for patients. © RSNA, 2020.

Entities:  

Mesh:

Year:  2020        PMID: 32315268     DOI: 10.1148/radiol.2020192534

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 in total

1.  Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI.

Authors:  Su Min Ha; Jung Min Chang; Soo-Yeon Kim; Su Hyun Lee; Eun Sil Kim; Yeon Soo Kim; Nariya Cho; Woo Kyung Moon
Journal:  Breast Cancer Res Treat       Date:  2021-01-03       Impact factor: 4.872

2.  Comparison of lymphatic contrast-enhanced ultrasound and intravenous contrast-enhanced ultrasound in the preoperative diagnosis of axillary sentinel lymph node metastasis in patients with breast cancer.

Authors:  Lingling Zhuang; Xu Ming; Jun Liu; Chao Jia; Yubiao Jin; Jing Wang; Qiusheng Shi; Rong Wu; Lifang Jin; Lianfang Du
Journal:  Br J Radiol       Date:  2021-11-29       Impact factor: 3.039

3.  A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors.

Authors:  Chunxiao Li; Yuanfan Guo; Liqiong Jia; Minghua Yao; Sihui Shao; Jing Chen; Yi Xu; Rong Wu
Journal:  Front Physiol       Date:  2022-06-02       Impact factor: 4.755

4.  Regional Lymphadenopathy Following COVID-19 Vaccination in Patients with or Suspicious of Breast Cancer: A Quick Summary of Current Key Facts and Recommendations.

Authors:  Jung Min Chang; Su Min Ha
Journal:  Korean J Radiol       Date:  2022-05-31       Impact factor: 7.109

5.  A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery.

Authors:  Young-Joon Kang; Jung Hyun Park; Young Wook Ju; Kyoung-Eun Kim; Yumi Kim; Eunshin Lee; Han-Byoel Lee; Dong-Young Noh; Wonshik Han
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

6.  Assessment of preoperative axillary nodal disease burden: breast MRI in locally advanced breast cancer before, during and after neoadjuvant endocrine therapy.

Authors:  Jürgen Geisler; Jonn Terje Geitung; Joana Reis; Joao Boavida; Hang T Tran; Marianne Lyngra; Laurens Cornelus Reitsma; Hossein Schandiz; Woldegabriel A Melles; Kjell-Inge Gjesdal
Journal:  BMC Cancer       Date:  2022-06-25       Impact factor: 4.638

7.  Dynamic characterization of breast cancer response to neoadjuvant therapy using biophysical metrics of spatial proliferation.

Authors:  Haley J Bowers; Emily Douglas; Katherine Ansley; Alexandra Thomas; Jared A Weis
Journal:  Sci Rep       Date:  2022-07-09       Impact factor: 4.996

8.  Establishing a prediction model of axillary nodal burden based on the combination of CT and ultrasound findings and the clinicopathological features in patients with early-stage breast cancer.

Authors:  Xianfu Sun; Qiang Zhang; Lianjie Niu; Tao Huang; Yingjie Wang; Shengze Zhang
Journal:  Gland Surg       Date:  2021-02

9.  The value of contrast-enhanced ultrasound enhancement patterns for the diagnosis of sentinel lymph node status in breast cancer: systematic review and meta-analysis.

Authors:  Zihan Niu; Mengsu Xiao; Li Ma; Jing Qin; Wenbo Li; Jing Zhang; Qingli Zhu; Yuxin Jiang
Journal:  Quant Imaging Med Surg       Date:  2022-02

10.  Preoperative prediction of axillary lymph node metastasis in patients with breast cancer based on radiomics of gray-scale ultrasonography.

Authors:  Wei-Jun Zhou; Yi-Dan Zhang; Wen-Tao Kong; Chao-Xue Zhang; Bing Zhang
Journal:  Gland Surg       Date:  2021-06
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