Literature DB >> 19716671

Diffusion-weighted MRI in cervical lymph nodes: differentiation between benign and malignant lesions.

Anna Perrone1, Pietro Guerrisi, Luciano Izzo, Ilaria D'Angeli, Simona Sassi, Luigi Lo Mele, Marina Marini, Dario Mazza, Mario Marini.   

Abstract

OBJECTIVE: Purpose of our study was to assess the potential role of diffusion-weighted imaging (DWI) in the differential diagnosis between benign and malignant nodes. SUBJECT AND METHODS: We enrolled 32 subjects: 14 with benign lymphadenopathy, 17 patients with histologically proved malignant disease before beginning treatment and 1 patient with lymphoma after chemotherapeutic treatment. In all patients we used fast spin echo T2-weighted images in axial and coronal planes, fast spin echo T1-weighted images before and after contrast medium of administration in axial and coronal planes. Before contrast administration diffusion sequences were acquired on the axial and coronal plane (b factor of 0.500 and 1000 s/mm(2)) and then apparent diffusion coefficient (ADC) maps were reconstructed.
RESULTS: On diffusion images, 13/14 patients with benign nodes showed low signal intensity and had high signal on ADC maps, whereas all patients with malignant diseases appeared hyperintense on diffusion images and with low signal intensity on ADC maps. Only a patient with tuberculosis showed a low ADC value. The mean ADC value of malignant nodes was about 0.85 × 10(-3)mm(2)/s, the mean value of benign nodes was 1.448 × 10(-3)mm(2)/s; this difference was statistically significant (p < 0.01). The mean ADC value of treated nodes was 1.75 × 10(-3)mm(2)/s. The best threshold value was 1.03 × 10(-3)mm(2)/s, obtaining a sensitivity of 100% and a specificity of 92.9%.
CONCLUSIONS: Diffusion imaging could be considered an important supportive tool for the diagnosis of enlarged cervical lymphadenopathies.
Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19716671     DOI: 10.1016/j.ejrad.2009.07.039

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  31 in total

1.  Diffusion-weighted imaging to differentiate metastatic from non-metastatic retropharyngeal lymph nodes in nasopharyngeal carcinoma.

Authors:  H Li; X-W Liu; Z-J Geng; D-L Wang; C-M Xie
Journal:  Dentomaxillofac Radiol       Date:  2014-11-28       Impact factor: 2.419

2.  Use of diffusion-weighted imaging (DWI) in PET/MRI for head and neck cancer evaluation.

Authors:  Marcelo A Queiroz; Martin Hüllner; Felix Kuhn; Gerhardt Huber; Christian Meerwein; Spyros Kollias; Gustav von Schulthess; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-08-05       Impact factor: 9.236

3.  Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer.

Authors:  Ming-Che Lee; Keh-Shih Chuang; Mu-Kuan Chen; Chi-Kuang Liu; Kwo-Whei Lee; Hui-Yu Tsai; Hsin-Hon Lin
Journal:  Br J Radiol       Date:  2016-05-11       Impact factor: 3.039

Review 4.  Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers.

Authors:  Jing Yuan; Gladys Lo; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2016-08

5.  From multislice CT to whole-body biomarker imaging in lymphoma patients.

Authors:  Cédric de Bazelaire; Eric de Kerviler
Journal:  Eur Radiol       Date:  2010-12-21       Impact factor: 5.315

6.  Prediction of nodal metastasis in head and neck cancer using a 3T MRI ADC map.

Authors:  M-C Lee; H-Y Tsai; K-S Chuang; C-K Liu; M-K Chen
Journal:  AJNR Am J Neuroradiol       Date:  2012-09-20       Impact factor: 3.825

7.  Apparent diffusion coefficient for discriminating metastatic lymph nodes in patients with squamous cell carcinoma of the head and neck.

Authors:  Yeliz Pekçevik; İbrahim Çukurova; İlker Burak Arslan
Journal:  Diagn Interv Radiol       Date:  2015 Sep-Oct       Impact factor: 2.630

8.  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

9.  Ultrasonography and contrast-enhanced CT findings of tularemia in the neck.

Authors:  Serap Doğan; Afra Ekinci; Hayati Demiraslan; Ayşegül Ulu Kılıç; Ertuğrul Mavili; Mustafa Öztürk; Hakan İmamoğlu; Mehmet Doğanay
Journal:  Diagn Interv Radiol       Date:  2016 Sep-Oct       Impact factor: 2.630

10.  Accuracy of MRI in Prediction of Tumour Thickness and Nodal Stage in Oral Tongue and Gingivobuccal Cancer With Clinical Correlation and Staging.

Authors:  Varun Goel; Pratap Singh Parihar; Akhilesh Parihar; Ashok Kumar Goel; Kapil Waghwani; Richa Gupta; Umesh Bhutekar
Journal:  J Clin Diagn Res       Date:  2016-06-01
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