Literature DB >> 22648570

Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with breast cancer.

Francesca Fornasa1, Maria Vittoria Nesoti, Chiara Bovo, Maria Giuseppina Bonavina.   

Abstract

PURPOSE: To assess prospectively the accuracy of diffusion-weighted magnetic resonance imaging (DWI) in differentiating between metastatic and benign axillary lymph nodes in patients with breast cancer.
MATERIALS AND METHODS: In all, 215 patients with histologically proven breast cancer, prior to axillary dissection, underwent breast and axillary 1.5 T MRI. In 102 patients in whom at least one axillary lymph node with a short axis of 6 mm or more was found the apparent diffusion coefficient (ADC) was measured in one lymph node per patient by means of an echo planar, parallel imaging DWI sequence. Forty-three lymph nodes were finally included which, on histological examination, either contained a metastasis larger than 5 mm or were metastasis-free; nodes with metastases smaller than 5 mm were excluded.
RESULTS: From histological examination, 19/43 lymph nodes had a metastasis at least 5 mm, while in 24/43 no malignant cells were found. The ADC values of the lymph nodes with metastases (mean: 0.878 × 10(-3) mm(2) /s; range: 0.30 -1.20) were significantly lower (P < 0.001) than those of the benign lymph nodes (mean: 1.494; range: 0.60 -2.50). Adopting a threshold value of 1.09 × 10(-3) mm(2) /s DWI resulted in 94.7% sensitivity, 91.7% specificity, and 93.0% accuracy in the identification of metastasis in this series of lymph nodes.
CONCLUSION: From these preliminary data DWI seems a promising method in the differential diagnosis between metastatic and benign axillary lymph nodes in patients with breast cancer.
Copyright © 2012 Wiley Periodicals, Inc.

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Mesh:

Year:  2012        PMID: 22648570     DOI: 10.1002/jmri.23706

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  24 in total

Review 1.  Is imaging the future of axillary staging in breast cancer?

Authors:  M Ahmed; S I Usiskin; M A Hall-Craggs; Michael Douek
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3.  Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI.

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4.  Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: A meta-analysis.

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5.  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
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6.  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

7.  Suspicious axillary lymph nodes identified on clinical breast MRI in patients newly diagnosed with breast cancer: can quantitative features improve discrimination of malignant from benign?

Authors:  Habib Rahbar; Jane L Conlin; Sana Parsian; Wendy B DeMartini; Sue Peacock; Constance D Lehman; Savannah C Partridge
Journal:  Acad Radiol       Date:  2014-12-06       Impact factor: 3.173

8.  Diffusivity measurements differentiate benign from malignant lesions in patients with peripheral neuropathy or plexopathy.

Authors:  E L Yuh; S Jain Palrecha; G M Lagemann; M Kliot; P R Weinstein; N M Barbaro; C T Chin
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-09       Impact factor: 3.825

Review 9.  Why measure tumours?

Authors:  Øystein E Olsen
Journal:  Pediatr Radiol       Date:  2015-01-01

10.  The role of MRI in axillary lymph node imaging in breast cancer patients: a systematic review.

Authors:  V J L Kuijs; M Moossdorff; R J Schipper; R G H Beets-Tan; E M Heuts; K B M I Keymeulen; M L Smidt; M B I Lobbes
Journal:  Insights Imaging       Date:  2015-03-24
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