Literature DB >> 25667099

Efficacy of physical examination, ultrasound, and ultrasound combined with fine-needle aspiration for axilla staging of primary breast cancer.

Yu Feng1, Rui Huang, Yingjian He, Aiping Lu, Zhaoqing Fan, Tie Fan, Meng Qi, Xinguang Wang, Wei Cao, Xing Wang, Yuntao Xie, Tianfeng Wang, Jinfeng Li, Tao Ouyang.   

Abstract

The aim of this study was to compare the efficacy of physical examination (PE), ultrasound (US), and US combined with fine-needle cytology (US-FNAC) in evaluation of node status before sentinel lymph node biopsy (SLNB) for breast cancer patients. We performed a retrospective study of 3,781 breast cancer patients and calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy for PE, US, and US-FNAC, respectively. A total of 3,175 cases were documented as cN0 and 606 as cN1. Abnormal axillary nodes under US were detected in 1,152 cases, among which 821 were proven to have positive nodes by FNAC. The positive FNAC results enabled 11.7% of cN0 patients (373/3,175) to avoid unnecessary SLNB. All 331 cases with abnormal US but negative FNAC results, and the 2,629 cases with normal US underwent SLNB procedure for nodal staging, and metastatic nodes were identified in 745 patients. The sensitivity of PE was 32.2%, with a specificity of 95.5%, a PPV of 83.5%, a NPV of 65%, and an accuracy of 69.3%. The sensitivity, specificity, PPV, NPV, and accuracy of axillary US alone were 58.6, 89.4, 79.6, 75.3, and 76.7%, respectively. Combining axillary US with FNAC resulted in sensitivity, specificity, PPV, NPV, and accuracy of 52.4, 100, 100, 74.8, and 80.3%, respectively. Our study demonstrated that US-FNAC is a feasible and effective triage during axillary staging for newly diagnosed breast cancer patients.

Entities:  

Mesh:

Year:  2015        PMID: 25667099     DOI: 10.1007/s10549-015-3280-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  9 in total

1.  To Evaluate the Accuracy of Axillary Staging Using Ultrasound and Ultrasound-Guided Fine-Needle Aspiration Cytology (USG-FNAC) in Early Breast Cancer Patients-a Prospective Study.

Authors:  Rashpal Singh; S V S Deo; Ekta Dhamija; Sandeep Mathur; Sanjay Thulkar
Journal:  Indian J Surg Oncol       Date:  2020-10-19

2.  Rates of pathologic nodal disease among cN0 and cN1 patients undergoing routine axillary ultrasound and neoadjuvant chemotherapy.

Authors:  Anna Weiss; Claire King; Julie Vincuilla; Tonia Parker; Leah Portnow; Faina Nakhlis; Laura Dominici; Elizabeth A Mittendorf; Tari A King
Journal:  Breast Cancer Res Treat       Date:  2022-07-28       Impact factor: 4.624

3.  Application of imaging mass spectrometry for the molecular diagnosis of human breast tumors.

Authors:  Xinxin Mao; Jiuming He; Tiegang Li; Zhaohui Lu; Jian Sun; Yunxiao Meng; Zeper Abliz; Jie Chen
Journal:  Sci Rep       Date:  2016-02-12       Impact factor: 4.379

4.  Ultrasound combined with fine needle aspiration cytology for the assessment of axillary lymph nodes in patients with early stage breast cancer.

Authors:  Fan Zhang; Jing Zhang; Qing-Xin Meng; Xin Zhang
Journal:  Medicine (Baltimore)       Date:  2018-02       Impact factor: 1.817

5.  Validation of the Skåne University Hospital nomogram for the preoperative prediction of a disease-free axilla in patients with breast cancer.

Authors:  S Majid; P-O Bendahl; L Huss; J Manjer; L Rydén; L Dihge
Journal:  BJS Open       Date:  2021-05-07

6.  An objective nodal staging system for breast cancer patients undergoing neoadjuvant systemic treatment.

Authors:  Tae-Kyung Yoo; Jung Min Chang; Hee-Chul Shin; Wonshik Han; Dong-Young Noh; Hyeong-Gon Moon
Journal:  BMC Cancer       Date:  2017-05-31       Impact factor: 4.430

7.  Feasibility of using negative ultrasonography results of axillary lymph nodes to predict sentinel lymph node metastasis in breast cancer patients.

Authors:  Xue Chen; Yingjian He; Jiwei Wang; Ling Huo; Zhaoqing Fan; Jinfeng Li; Yuntao Xie; Tianfeng Wang; Tao Ouyang
Journal:  Cancer Med       Date:  2018-06-14       Impact factor: 4.452

8.  Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region.

Authors:  Qiuchang Sun; Xiaona Lin; Yuanshen Zhao; Ling Li; Kai Yan; Dong Liang; Desheng Sun; Zhi-Cheng Li
Journal:  Front Oncol       Date:  2020-01-31       Impact factor: 6.244

9.  Ultrasound as a replacement for physical examination in clinical staging of axillary lymph nodes in breast cancer patients.

Authors:  Xue Chen; Xiaoting Li; Zhaoqing Fan; Jinfeng Li; Yuntao Xie; Tianfeng Wang; Tao Ouyang
Journal:  Thorac Cancer       Date:  2019-11-11       Impact factor: 3.500

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.