Literature DB >> 24234236

Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.

Jin Chung1, Ji Hyun Youk2, Jeong-Ah Kim2, Hye Mi Gweon2, Eun-Kyung Kim2, Young Hoon Ryu3, Eun Ju Son4.   

Abstract

BACKGROUND: Ultrasound (US) is probably the standard imaging procedure in most centers, and US-guided fine needle aspiration can be added if suspicious lymph nodes are found. However, US-guided fine needle aspiration is an invasive method to diagnose a metastasis and has showed relatively low sensitivity. In general, diffusion-weighted (DW) magnetic resonance imaging (MRI) has become an emerging technique for discriminating benign from malignant breast lesions in a short imaging acquisition time.
PURPOSE: To evaluate the potential for using DW MRI with an apparent diffusion coefficient (ADC) value to predict axillary lymph node metastases in patients with invasive breast cancer.
MATERIAL AND METHODS: This study enrolled 110 axillary lymph nodes from 110 consecutive women who were diagnosed with invasive breast cancer for preoperative breast MRI and US. The largest enhancing ipsilateral axillary lymph nodes were included in this study, and benign and metastatic axillary lymph nodes were compared according to the pathologic reports. The cut-off ADC value to differentiate between benign and metastatic axillary lymph nodes was evaluated with receiver-operating characteristic curve analysis. Diagnostic performance of ultrasound and DW MRI was calculated for enhancing lymph node in dynamic contrast-enhanced MRI.
RESULTS: Nodal metastases were documented in 68 (62%) axillary lymph nodes. The mean size of metastatic axillary lymph nodes was larger than that of benign axillary lymph nodes (15.5 mm vs. 10.9 mm, P < 0.001). The mean ADC value (0.69 × 10(-3 )mm(2)/s) of the metastases was significantly lower than that of the benign axillary lymph nodes (1.04 × 10(-3 )mm(2)/s) (P < 0.001). The ADC value cut-off between metastatic and benign axillary lymph nodes was 0.90 × 10(-3 )mm(2)/s. Using ADC cut-off, sensitivity, specificity, and accuracy of DW MRI were 100%, 83.3%, and 93.6%, respectively. The sensitivity, specificity, and accuracy of US showed 94.1%, 54.8%, and 79.1%, respectively.
CONCLUSION: DW MRI of axillary lymph nodes can provide reliable information for the differentiation of benign from metastatic axillary lymph nodes in invasive breast cancer patients. © The Foundation Acta Radiologica 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  Breast cancer; apparent diffusion coefficient (ADC); axillary lymph node; diffusion; magnetic resonance imaging (MRI); ultrasound (US)

Mesh:

Substances:

Year:  2013        PMID: 24234236     DOI: 10.1177/0284185113509094

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  15 in total

1.  Apparent diffusion coefficient value in invasive ductal carcinoma at 3.0 Tesla: is it correlated with prognostic factors?

Authors:  Inanc Guvenc; Sinan Akay; Selami Ince; Ramazan Yildiz; Zafer Kilbas; Fahrettin G Oysul; Mustafa Tasar
Journal:  Br J Radiol       Date:  2016-02-08       Impact factor: 3.039

2.  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

3.  Feasibility of whole-body diffusion-weighted MRI for detection of primary tumour, nodal and distant metastases in women with cancer during pregnancy: a pilot study.

Authors:  Sileny N Han; Frédéric Amant; Katrijn Michielsen; Frederik De Keyzer; Steffen Fieuws; Kristel Van Calsteren; Raphaëla C Dresen; Mina Mhallem Gziri; Vincent Vandecaveye
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

4.  Preoperative axillary staging with 3.0-T breast MRI: clinical value of diffusion imaging and apparent diffusion coefficient.

Authors:  Suvi Rautiainen; Mervi Könönen; Reijo Sironen; Amro Masarwah; Mazen Sudah; Juhana Hakumäki; Ritva Vanninen; Anna Sutela
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

5.  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

6.  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

Review 7.  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

8.  Diagnostic accuracy of metastatic axillary lymph nodes in breast MRI.

Authors:  Gozde Arslan; Kubra Murzoglu Altintoprak; Inci Kizildag Yirgin; Mehmet Mahir Atasoy; Levent Celik
Journal:  Springerplus       Date:  2016-06-16

9.  Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients.

Authors:  Won Hwa Kim; Hye Jung Kim; So Mi Lee; Seung Hyun Cho; Kyung Min Shin; Sang Yub Lee; Jae Kwang Lim
Journal:  Cancer Imaging       Date:  2019-02-01       Impact factor: 3.909

10.  Measurement of apparent diffusion coefficient in discrimination of benign and malignant axillary lymph nodes.

Authors:  Ebru Yılmaz; Berrin Erok; Ali Önder Atca
Journal:  Pol J Radiol       Date:  2019-12-22
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