Volume 5, Issue 4, July 2017, Page: 42-46
Differentiating Benign from Malignant Cervical Lymph Nodes with Sonoelastography
Abdelmoniem Mahmoud Mohie-Eldine, Radiological Department, Tanta University, Tanta, Egypt
Nabila El-Gazzar, Tropical Medicine Departement, Tanta University, Tanta, Egypt
Emad Mohamed Mashaly, Radiological Department, Tanta University, Tanta, Egypt
Reda Abd-Elsameea Alarabawy, Radiological Department, Tanta University, Tanta, Egypt
Sherief Abd-ElSalam, Tropical Medicine Departement, Tanta University, Tanta, Egypt
Received: May 3, 2017;       Accepted: Jun. 3, 2017;       Published: Oct. 18, 2017
DOI: 10.11648/j.ijmi.20170504.11      View  1993      Downloads  90
Abstract
In the clinical practice, there is many overlap in diagnostic criteria between benign and malignant lymph nodes by grayscale and Doppler sonography. This study was carried out on 30 patients who suffered from enlarged cervical lymph nodes examined with B-mode US, Doppler US and Sonoelastography in the Sonoelastography unit of the Radiology department of Tanta university hospitals to prospectively estimate the accuracy of sonoelastography in the differentiation between benign and malignant cervical lymph nodes. Sonoelastography had the highest sensitivity (92.1%), specificity (95.5%) and accuracy (93.3%) in the differentiation between benign and malignant cervical lymph nodes, so Sonoelastography is a promising technique that is easy and rapid non-invasive to perform and help identifying cervical lesions that are likely to be malignant to avoid hazards that found in tissue biopsy especially in patients with bleeding disorders.
Keywords
Lymphadenopathy, Elastography, Sonoelastography
To cite this article
Abdelmoniem Mahmoud Mohie-Eldine, Nabila El-Gazzar, Emad Mohamed Mashaly, Reda Abd-Elsameea Alarabawy, Sherief Abd-ElSalam, Differentiating Benign from Malignant Cervical Lymph Nodes with Sonoelastography, International Journal of Medical Imaging. Vol. 5, No. 4, 2017, pp. 42-46. doi: 10.11648/j.ijmi.20170504.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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