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Role of Diffusion Weighted Imaging in Differentiating Benign from Malignant Head and Neck Tumors
International Journal of Medical Imaging
Volume 4, Issue 1, January 2016, Pages: 1-6
Received: Jan. 1, 2016; Accepted: Jan. 26, 2016; Published: Feb. 19, 2016
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Authors
Haney Heneidy, Radiology Department, Medical Research Institute, Alexandria University, Alexandria, Egypt
Waled Yosef, Surgey Department, Ain Shams University, Cairo, Egypt
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Abstract
Head and neck mass is considered to be a relatively common finding in adult and pediatric patients and can present a difficult diagnostic challenge. Differentiation of benign head and neck tumors from malignant lesions are important for treatment strategy as well as for predicting prognosis of malignant tumors. The aim of this work is to review the role of diffusion MRI scan in differentiation between benign and malignant head and neck masses This study was performed on 72 patients (30 men and 42 women aged from 13 years to 85 years, mean age of 51 years) with head and neck mass, in the period from September 2012 until May 2014. We found that DWI is a reliable noninvasive imaging tool to help in differentiation between malignant and benign head and neck lesions and also to identify the tumor-free soft tissue in patients with head and neck neoplasms. It could be performed with conventional MR systems in few minutes time, Further studies on larger number of patients is required to assess if such a technique should be implemented routinely with conventional MRI scan.
Keywords
Head and Neck, Diffusion MRI, Tumors, Benign, Malignant
To cite this article
Haney Heneidy, Waled Yosef, Role of Diffusion Weighted Imaging in Differentiating Benign from Malignant Head and Neck Tumors, International Journal of Medical Imaging. Vol. 4, No. 1, 2016, pp. 1-6. doi: 10.11648/j.ijmi.20160401.11
Copyright
Copyright © 2016 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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