Literature DB >> 14756355

Sonographic evaluation of isolated abnormal axillary lymph nodes identified on mammograms.

Mahesh K Shetty1, Wendy S Carpenter.   

Abstract

OBJECTIVE: To evaluate the role of sonography in evaluation of abnormal axillary lymph nodes identified in patients with otherwise negative or benign findings on mammography.
METHODS: For 3 years 2 months, we retrospectively reviewed 30 consecutive cases that had undergone sonographic evaluation for abnormal axillary lymph nodes identified in patients whose mammograms had an American College of Radiology Breast Imaging Reporting and Data System final assessment of 1 or 2. Mammographic and sonographic features of the lymph nodes were analyzed and correlated with the histologic diagnosis in patients undergoing biopsy. Patients who did not undergo biopsy had clinical or imaging follow-up.
RESULTS: Twenty of the 30 patients studied had an abnormal sonographic appearance. Biopsy was recommended in 17 of the 20 patients on the basis of an abnormal sonographic appearance. In the remaining 3 patients, there was an underlying cause for lymphadenopathy, and these patients underwent clinical and sonographic follow-up. Eighteen patients underwent biopsy, including 1 patient with normal findings on sonography. Ten of these patients had malignant histologic findings: 6 were metastatic adenocarcinoma; 1, poorly differentiated sarcoma, and 3, lymphoma. The remaining 8 patients had benign histologic findings. The nonbiopsy group had clinical and or imaging follow-up (mean, 17.6 months; range, 6-25 months). The sensitivity (true-positive/true-positive + false-negative) of sonography for assessment of suspected abnormal lymph nodes in the patients studied was 100% (10 of 10); specificity (true-negative/true-negative + false-positive), 50% (10 of 20); positive predictive value (true-positive/true-positive + false-positive) for malignancy based on the presence of 2 or more abnormal sonographic features, 50% (10 of 20); and negative predictive value, 100%.
CONCLUSIONS: Sonography is useful in further characterization of isolated abnormal axillary lymph nodes identified on mammography. Sonographic evaluation helps improve the specificity of imaging evaluation in assessment of these lymph nodes.

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Mesh:

Year:  2004        PMID: 14756355     DOI: 10.7863/jum.2004.23.1.63

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  11 in total

1.  Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging.

Authors:  Junping Wang; Qian Liao; Yunting Zhang; Chunshui Yu; Renju Bai; Haoran Sun
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

2.  Utility of Ultrasound and Mammography in Detection of Negative Axillary Nodal Metastasis in Breast Cancer.

Authors:  Anam Khan; Imrana Masroor; Kumail Khandwala; Summar-Un-Nisa Abbasi; Muhammad Usman Tariq
Journal:  Cureus       Date:  2020-01-17

3.  Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network.

Authors:  Frederik Abel; Anna Landsmann; Patryk Hejduk; Carlotta Ruppert; Karol Borkowski; Alexander Ciritsis; Cristina Rossi; Andreas Boss
Journal:  Diagnostics (Basel)       Date:  2022-05-29

Review 4.  What's in a node? The clinical and radiologic significance of Virchow's node.

Authors:  Cameron Adler; Meghan G Lubner; Christine O Menias; Sam J Lubner; Nirvikar Dahiya
Journal:  Abdom Radiol (NY)       Date:  2022-03-22

5.  Development of High-Resolution Dedicated PET-Based Radiomics Machine Learning Model to Predict Axillary Lymph Node Status in Early-Stage Breast Cancer.

Authors:  Jingyi Cheng; Caiyue Ren; Guangyu Liu; Ruohong Shui; Yingjian Zhang; Junjie Li; Zhimin Shao
Journal:  Cancers (Basel)       Date:  2022-02-14       Impact factor: 6.639

6.  Diagnostic performance of a novel high-resolution dedicated axillary PET system in the assessment of regional nodal spread of disease in early breast cancer.

Authors:  Jingyi Cheng; Junjie Li; Guangyu Liu; Ruohong Shui; Sheng Chen; Benlong Yang; Zhimin Shao
Journal:  Quant Imaging Med Surg       Date:  2022-02

7.  A practical approach to imaging the axilla.

Authors:  V Dialani; D F James; P J Slanetz
Journal:  Insights Imaging       Date:  2014-12-23

8.  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

9.  Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis.

Authors:  Xiaochan Ou; Jianbin Zhu; Yaoming Qu; Chengmei Wang; Baiye Wang; Xirui Xu; Yanyu Wang; Haitao Wen; Andong Ma; Xinzi Liu; Xia Zou; Zhibo Wen
Journal:  BMC Med Imaging       Date:  2021-12-15       Impact factor: 1.930

10.  Preoperative assessment of axillary lymph node status in breast cancer patients by ultrasonography combined with mammography: A STROBE compliant article.

Authors:  Qun Liu; Peng Xing; Huiting Dong; Tingting Zhao; Feng Jin
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

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