Literature DB >> 25072504

Diagnostic value of breast MRI for predicting metastatic axillary lymph nodes in breast cancer patients: diffusion-weighted MRI and conventional MRI.

Eun Jeong Kim1, Sung Hun Kim2, Bong Joo Kang1, Byung Gil Choi1, Byung Joo Song3, Jae Jeong Choi4.   

Abstract

PURPOSES: To evaluate the diagnostic value of diffusion-weighted MRI (DWI) and combination of conventional MRI and DWI to predict metastatic axillary lymph nodes in breast cancer.
MATERIALS AND METHODS: Two hundred fifty-two breast cancer patients with 253 axillae were included. The morphological parameters on axial T2-weighted images without fat saturation and apparent diffusion coefficient (ADC) values were retrospectively analyzed. An independent t-test/chi-square test and receiver operating characteristics (ROC) curve analysis were used.
RESULTS: On conventional MRI, short and long axis length, maximal cortical thickness, relative T2 value, loss of fatty hilum (p<0.001 for each), and eccentric cortical thickening (p<0.003) were statistically significantly different between the metastatic and nonmetastatic groups. The short axis to long axis ratio was not a statistically significant parameter. The ADC value was significantly different between the 2 groups, with an AUC that was higher than that of conventional MR parameters (AUC, 0.815; threshold, ≤0.986×10-3 mm(2)/sec; sensitivity, 75.8%; specificity, 83.9%). Using the adopted thresholds for each parameter, a total number of findings suggesting malignancy of 4 or higher was determined as the threshold, with high specificity (90.1%).
CONCLUSION: Using conventional MRI and DWI, we can evaluate the axilla in breast cancer with high specificity.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast neoplasms; Diffusion magnetic resonance imaging; Lymphatic metastasis; Magnetic resonance imaging

Mesh:

Year:  2014        PMID: 25072504     DOI: 10.1016/j.mri.2014.07.001

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  20 in total

1.  Magnetic resonance molecular imaging of metastatic breast cancer by targeting extradomain-B fibronectin in the tumor microenvironment.

Authors:  Zheng Han; Han Cheng; Jenny G Parvani; Zhuxian Zhou; Zheng-Rong Lu
Journal:  Magn Reson Med       Date:  2017-10-29       Impact factor: 4.668

2.  MRI sequences for the detection of individual lymph nodes in regional breast radiotherapy planning.

Authors:  Tristan C F van Heijst; Bram van Asselen; Ruud M Pijnappel; Marissa Cloos-van Balen; Jan J W Lagendijk; Desirée van den Bongard; Mariëlle E P Philippens
Journal:  Br J Radiol       Date:  2016-05-10       Impact factor: 3.039

3.  Preoperative axillary nodal staging with ultrasound and magnetic resonance imaging: predictive values of quantitative and semantic features.

Authors:  Won Hwa Kim; Hye Jung Kim; So Mi Lee; Seung Hyun Cho; Kyung Min Shin; Sang Yub Lee; Jae Kwang Lim; Won Kee Lee
Journal:  Br J Radiol       Date:  2018-08-29       Impact factor: 3.039

4.  Differential diagnosis between metastatic and non-metastatic lymph nodes using DW-MRI: a meta-analysis of diagnostic accuracy studies.

Authors:  Min Zhou; Bin Lu; Gang Lv; Qin Tang; Jibiao Zhu; Jun Li; Kaide Shi
Journal:  J Cancer Res Clin Oncol       Date:  2014-12-17       Impact factor: 4.553

5.  Preoperative axillary lymph node evaluation in breast cancer patients by breast magnetic resonance imaging (MRI): Can breast MRI exclude advanced nodal disease?

Authors:  Su Jeong Hyun; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Min Jung Kim
Journal:  Eur Radiol       Date:  2016-02-02       Impact factor: 5.315

6.  Diagnostic Value of Diffusion Weighted Magnetic Resonance Imaging in Evaluation of Metastatic Axillary Lymph Nodes in a Sample of Iranian Women with Breast Cancer

Authors:  Fereshteh Hasanzadeh; Fariborz Faeghi; Abdollah Valizadeh; Leyla Bayani
Journal:  Asian Pac J Cancer Prev       Date:  2017-05-01

7.  Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: A meta-analysis.

Authors:  Peng Zhou; Yongqing Wei; Guoyue Chen; Lei Guo; Deyue Yan; Ying Wang
Journal:  Thorac Cancer       Date:  2018-06-06       Impact factor: 3.500

8.  Heterogeneous Enhancement Pattern in DCE-MRI Reveals the Morphology of Normal Lymph Nodes: An Experimental Study.

Authors:  Pietro Bontempi; Alice Busato; Giamaica Conti; Sabino Walter Della Sala; Pasquina Marzola; Paolo Farace
Journal:  Contrast Media Mol Imaging       Date:  2019-04-04       Impact factor: 3.161

Review 9.  The Diagnosis of Metastatic Axillary Lymph Nodes of Breast Cancer By Diffusion Weighted Imaging: a meta-analysis and systematic review.

Authors:  Wei Fan Sui; Xiang Chen; Zhen Kun Peng; Jing Ye; Jing Tao Wu
Journal:  World J Surg Oncol       Date:  2016-06-02       Impact factor: 2.754

10.  Breast Magnetic Resonance Imaging for Assessment of Internal Mammary Lymph Node Status in Breast Cancer.

Authors:  Hyung Won Lee; Sung Hun Kim
Journal:  J Breast Cancer       Date:  2016-06-24       Impact factor: 3.588

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