Literature DB >> 30797947

Value of Axillary Ultrasound after Negative Axillary MRI for Evaluating Nodal Status in High-Risk Breast Cancer.

Tariq Almerey1, Diego Villacreses1, Zhuo Li2, Bhavika Patel3, Michelle McDonough4, Tammeza Gibson1, Santo Maimone4, Richard Gray5, Sarah A McLaughlin6.   

Abstract

BACKGROUND: It is assumed that axillary ultrasound (AxUS) is the best method for axillary nodal evaluation in newly diagnosed breast cancer patients. However, few have evaluated the efficacy of preoperative axillary MRI. We compared the statistical accuracy of AxUS and MRI in detecting nodal metastases among breast cancer patients who were selected for neoadjuvant chemotherapy. STUDY
DESIGN: We retrospectively analyzed 219 breast cancer patients undergoing neoadjuvant chemotherapy from 2007 to 2015, all of whom had AxUS and breast MRI before chemotherapy. Two breast radiologists, blinded to clinical, pathologic, and AxUS findings, re-reviewed all breast MRIs, specifically focusing on axillary nodal characteristics. We correlated clinico-pathologic characteristics, AxUS, and MRI findings, and quantified predictive values of both imaging modalities.
RESULTS: Overall, 101 of 219 (47%) patients had T2 tumors. The most common abnormal nodal finding was size >10 mm. Axillary ultrasound and MRI agreed on nodal status in 192 of 219 patients (87.6%). When correlated with pre-chemotherapy needle biopsy in 129 patients, AxUS and axillary MRI performed similarly (sensitivity of 99.1% vs 97.4% and specificity 15.4% vs 15.4%, respectively). Only 4 of 129 (3.1%) patients had a negative MRI and positive AxUS; 3 of 4 of these patients (75%) had a positive biopsy and 2 of 3 had positive lymph nodes on final pathology, therefore suggesting MRI missed clinically significant disease in only 2 of 129 (1.5%) patients.
CONCLUSIONS: In a high-risk patient population, AxUS and MRI have similar statistical profiles in evaluating axillary nodal status. Routine use of AxUS after a normal axillary MRI is not warranted.
Copyright © 2019 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 30797947     DOI: 10.1016/j.jamcollsurg.2019.01.022

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  4 in total

1.  Improved false-negative rates using a novel patient selection flowchart in initially biopsy-proven node-positive breast cancer undergoing blue-dye alone guided sentinel lymph node biopsy after neoadjuvant chemotherapy.

Authors:  Minyan Chen; Shengmei Li; Meng Huang; Jingjing Guo; Xuan Huang; Wenhui Guo; Lili Chen; Yuxiang Lin; Lisa Jacobs; Chuan Wang; Fangmeng Fu
Journal:  Breast Cancer Res Treat       Date:  2022-09-13       Impact factor: 4.624

2.  Combining conventional ultrasound and sonoelastography to predict axillary status after neoadjuvant chemotherapy for breast cancer.

Authors:  Jia-Xin Huang; Shi-Yang Lin; Yan Ou; Cai-Gou Shi; Yuan Zhong; Ming-Jie Wei; Xiao-Qing Pei
Journal:  Eur Radiol       Date:  2022-04-02       Impact factor: 7.034

3.  Ultrasonographic Algorithm for the Assessment of Sentinel Lymph Nodes That Drain the Mammary Carcinomas in Female Dogs.

Authors:  Florin Stan; Alexandru Gudea; Aurel Damian; Adrian Florin Gal; Ionel Papuc; Alexandru Raul Pop; Cristian Martonos
Journal:  Animals (Basel)       Date:  2020-12-10       Impact factor: 2.752

4.  Circulating exosomal miR-363-5p inhibits lymph node metastasis by downregulating PDGFB and serves as a potential noninvasive biomarker for breast cancer.

Authors:  Xin Wang; Tianyi Qian; Siqi Bao; Hengqiang Zhao; Hongyan Chen; Zeyu Xing; Yalun Li; Menglu Zhang; Xiangzhi Meng; Changchang Wang; Jie Wang; Hongxia Gao; Jiaqi Liu; Meng Zhou; Xiang Wang
Journal:  Mol Oncol       Date:  2021-06-25       Impact factor: 6.603

  4 in total

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