Literature DB >> 29558291

Preoperative Axillary US in Early-Stage Breast Cancer: Potential to Prevent Unnecessary Axillary Lymph Node Dissection.

Ga Ram Kim1, Ji Soo Choi1, Boo-Kyung Han1, Jeong Eon Lee1, Seok Jin Nam1, Eun Young Ko1, Eun Sook Ko1, Se Kyung Lee1.   

Abstract

Purpose To evaluate the value of preoperative axillary ultrasonography (US) for preventing unnecessary axillary lymph node dissection after sentinel lymph node (SLN) biopsy in a large series of patients with early-stage breast cancers treated with both breast-conserving surgery and SLN biopsy. Materials and Methods From March 2009 to February 2013, 1802 patients who underwent breast-conserving surgery for clinical T1-2/N0 cancers and SLN biopsy with or without axillary lymph node dissection were included. Preoperative axillary US results and clinical-pathologic variables were compared according to the status of non-SLN metastasis. Multivariate logistic regression analysis was performed to find factors associated with non-SLN metastasis. Results Of 1802 patients, 397 (22.0%) underwent axillary lymph node dissection due to positive SLN biopsy and 76 (4.2%) had non-SLN metastasis at final histopathologic examination. Patients with non-SLN metastasis were younger and showed positive axilla at US and clinical T2 stage more frequently (P < .05). At multivariate analysis, positive axilla at US (P = .001), clinical T2 stage (P = .005), and lymphovascular invasion (P < .001) were significantly associated with non-SLN metastasis. Among 1284 patients with negative axilla at US and clinical T1 stage cancer, 1254 (97.7%) did not have non-SLN metastasis and 30 (2.3%) had non-SLN metastasis. Conclusion Preoperative axillary US results and clinical T stage are associated with the status of non-SLN metastasis in patients with early breast cancer. The results of this study suggest that preoperative axillary US can help select patients at minimal risk of non-SLN metastasis, for whom axillary lymph node dissection can be omitted. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 29558291     DOI: 10.1148/radiol.2018171987

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


  13 in total

1.  Elaboration and Validation of a Nomogram Based on Axillary Ultrasound and Tumor Clinicopathological Features to Predict Axillary Lymph Node Metastasis in Patients With Breast Cancer.

Authors:  Yubo Liu; Feng Ye; Yun Wang; Xueyi Zheng; Yini Huang; Jianhua Zhou
Journal:  Front Oncol       Date:  2022-05-16       Impact factor: 5.738

2.  A New Model Incorporating Axillary Ultrasound After Neoadjuvant Chemotherapy to Predict Non-Sentinel Lymph Node Metastasis in Invasive Breast Cancer.

Authors:  Kai Zhang; Qian Zhu; Danli Sheng; Jiawei Li; Cai Chang
Journal:  Cancer Manag Res       Date:  2020-02-10       Impact factor: 3.989

3.  Preoperative Sonographic Prediction of Limited Axillary Disease in Patients with Primary Breast Cancer Meeting the Z0011 Criteria: an Alternative to Sentinel Node Biopsy?

Authors:  Julia Caroline Radosa; Erich-Franz Solomayer; Martin Deeken; Peter Minko; Julia Sarah Maria Zimmermann; Askin Canguel Kaya; Marc Philipp Radosa; Lisa Stotz; Sarah Huwer; Carolin Müller; Maria Margarete Karsten; Gudrun Wagenpfeil; Christoph Georg Radosa
Journal:  Ann Surg Oncol       Date:  2022-04-29       Impact factor: 4.339

4.  Development and Validation of Nomograms Predictive of Axillary Nodal Status to Guide Surgical Decision-Making in Early-Stage Breast Cancer.

Authors:  Jiao Li; Weimei Ma; Xinhua Jiang; Chunyan Cui; Hongli Wang; Jiewen Chen; Runcong Nie; Yaopan Wu; Li Li
Journal:  J Cancer       Date:  2019-01-29       Impact factor: 4.207

5.  Inquiry and computer program Onko-Online: 25 years of clinical registry for breast cancer at the University Medical Centre Maribor.

Authors:  Darja Arko; Iztok Takac
Journal:  Radiol Oncol       Date:  2019-09-24       Impact factor: 2.991

6.  Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer.

Authors:  Chun-Fa Chen; Yu-Ling Zhang; Ze-Long Cai; Shu-Ming Sun; Xiao-Feng Lu; Hao-Yu Lin; Wei-Quan Liang; Ming-Heng Yuan
Journal:  Front Oncol       Date:  2019-01-08       Impact factor: 6.244

7.  Establishment of Simple Nomograms for Predicting Axillary Lymph Node Involvement in Early Breast Cancer.

Authors:  Qingqing Zong; Jing Deng; Wanli Ge; Jie Chen; Di Xu
Journal:  Cancer Manag Res       Date:  2020-03-18       Impact factor: 3.989

8.  Preoperative Axillary Ultrasound versus Sentinel Lymph Node Biopsy in Patients with Early Breast Cancer.

Authors:  Dalia Rukanskienė; Vincentas Veikutis; Eglė Jonaitienė; Milda Basevičiūtė; Domantas Kunigiškis; Renata Paukštaitienė; Daiva Čepulienė; Lina Poškienė; Algirdas Boguševičius
Journal:  Medicina (Kaunas)       Date:  2020-03-13       Impact factor: 2.430

9.  Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Authors:  Xueyi Zheng; Zhao Yao; Yini Huang; Yanyan Yu; Yun Wang; Yubo Liu; Rushuang Mao; Fei Li; Yang Xiao; Yuanyuan Wang; Yixin Hu; Jinhua Yu; Jianhua Zhou
Journal:  Nat Commun       Date:  2020-03-06       Impact factor: 14.919

10.  Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.

Authors:  Xu Guo; Zhenyu Liu; Caixia Sun; Lei Zhang; Ying Wang; Ziyao Li; Jiaxin Shi; Tong Wu; Hao Cui; Jing Zhang; Jie Tian; Jiawei Tian
Journal:  EBioMedicine       Date:  2020-09-24       Impact factor: 8.143

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