Literature DB >> 19297159

High-resolution ultrasonographic features of axillary lymph node metastasis in patients with breast cancer.

Yoon Jung Choi1, Eun Young Ko, Boo-Kyung Han, Jung Hee Shin, Seok Seon Kang, Soo Yeon Hahn.   

Abstract

To determine ultrasound (US) features that most accurately predict the presence of axillary lymph node metastasis, we retrospectively analysed the results of preoperative US breast examinations of axillary lymph nodes in 425 consecutive patients who subsequently underwent surgery for invasive breast cancer. We compared the US findings with pathologic results for axillary lymph node metastasis. US features included length of the longest (L) and shortest (S) axes, L/S ratio, cortical thickness, presence of hilum and shape. The results of multivariate logistic regression analysis revealed that cortical thickness greater than 3mm was the most accurate indicator, with 4.14 times increased risk of the presence of an axillary lymph node metastasis as compared to cortical thickness less than 3mm. The absence of a hilum showed the highest specificity for axillary lymph node metastasis (94.6%), but low sensitivity.

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Mesh:

Year:  2009        PMID: 19297159     DOI: 10.1016/j.breast.2009.02.004

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  19 in total

1.  [Non-invasive imaging modalities for preoperative axillary lymph node staging in patients with breast cancer].

Authors:  K Wasser; A Schnitzer; J Brade; S O Schoenberg
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

2.  Sentinel lymph node metastasis diagnosis using ultrasound plus magnetic resonance lymphangiography in breast cancer.

Authors:  Yishan He; Oufei Liu; Jing Su; Qing Hong; Mengquan Li
Journal:  Gland Surg       Date:  2022-06

3.  Effectiveness of Quantitative Shear Wave Elastography for the Prediction of Axillary Lymph Node Metastasis.

Authors:  Yingying Cheng; Guofu Li; Hui Jing; Shasha Yuan; Lei Zhang; Wen Cheng
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-28       Impact factor: 2.650

4.  Assessment of Ultrasound Features Predicting Axillary Nodal Metastasis in Breast Cancer: The Impact of Cortical Thickness.

Authors:  A Stachs; A Tra-Ha Thi; M Dieterich; J Stubert; S Hartmann; Ä Glass; T Reimer; B Gerber
Journal:  Ultrasound Int Open       Date:  2015-07

5.  A practical approach to imaging the axilla.

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

6.  Adding contrast-enhanced ultrasound markers to conventional axillary ultrasound improves specificity for predicting axillary lymph node metastasis in patients with breast cancer.

Authors:  Li-Wen Du; Hong-Li Liu; Hai-Yan Gong; Li-Jun Ling; Shui Wang; Cui-Ying Li; Min Zong
Journal:  Br J Radiol       Date:  2020-12-22       Impact factor: 3.039

Review 7.  Breast ultrasound scans - surgeons' expectations.

Authors:  Piotr Bednarski; Katarzyna Dobruch-Sobczak; Eryk Chrapowicki; Wiesław Jakubowski
Journal:  J Ultrason       Date:  2015-06-30

8.  Accuracy of axillary ultrasound in preoperative nodal staging of breast cancer - size of metastases as limiting factor.

Authors:  Angrit Stachs; Katja Göde; Steffi Hartmann; Bernd Stengel; Ulrike Nierling; Max Dieterich; Toralf Reimer; Bernd Gerber
Journal:  Springerplus       Date:  2013-07-29

9.  Axillary ultrasound and fine-needle aspiration in preoperative staging of axillary lymph nodes in patients with invasive breast cancer.

Authors:  Rafael Dahmer Rocha; André Ricardo Girardi; Renata Reis Pinto; Viviane Aguilera Rolim de Freitas
Journal:  Radiol Bras       Date:  2015 Nov-Dec

10.  The differentiation of the character of solid lesions in the breast in the compression sonoelastography. Part I: The diagnostic value of the ultrasound B-mode imaging in the differentiation diagnostics of solid, focal lesions in the breast in relation to the pathomorphological verification.

Authors:  Katarzyna Dobruch-Sobczak
Journal:  J Ultrason       Date:  2012-12-30
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