Please enter verification code
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
Views 4641      Downloads 181
Haney Heneidy, Radiology Department, Medical Research Institute, Alexandria University, Alexandria, Egypt
Waled Yosef, Surgey Department, Ain Shams University, Cairo, Egypt
Article Tools
Follow on us
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.
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 © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Driessen, J. P., van Bemmel, A. J. M., van Kempen, P. M. W., Janssen, L. M., Terhaard, C. H. J., Pameijer, F. A., Willems, S. M., Stegeman, I., Grolman, W. and Philippens, M. E. P., Correlation of human papillomavirus status with apparent diffusion coefficient of diffusion-weighted MRI in head and neck squamous cell carcinomas. Head Neck. doi:2015;10.1002/hed.24051.
Abdel Razek AAK, Gaballa G, Elhawarey G, Megahed AS, Hafez M, Nada N. Characterization of pediatric head and neck masses with diffusion-weighted MR imaging. Eur Radiol. 2009; 19: 201-208.
Meuwly J, Lepori D, Theumann N, Schnyder P, Etechami G, Hohlfeld J, Gudinchet F Multimodality imaging evaluation of the pediatric neck: techniques and spectrum of findings. RadioGraphics.2005; 25: 931–948.
Thoeny HC, De Keyzer F, King AD. Diffusion-weighted MR imaging in the head and neck. Radiology. 2012; 263: 19-32.
Hatakenaka M, Nakamura K, Yabuuchi H, et al. Pretreatment apparent diffusion coefficient of the primary lesion correlates with local failure in head-and-neck cancer treated with chemoradiotherapy or radiotherapy. Int J Radiat Oncol Biol Phys 2011; 81(2): 339–345.
King AD, Mo FK, Yu KH, et al. Squamous cell carcinoma of the head and neck: diffusion weighted MR imaging for prediction and monitoring of treatment response. Eur Radiol 2010; 20(9): 2213–2220.
Koç O, Paksoy Y, Erayman İ, Kivrak AS, Arbag H. Role of diffusion weighted MR in the discrimination diagnosis of the cystic and/or necrotic head and neck lesions. Eur J Radiol. 2007; 62: 205-213.
Habermann CR, Arndt C, Graessner J, et al. Diffusion-weighted echo-planar MR imaging of primary parotid gland tumors: is a prediction of different histologic subtypes possible? AJNR Am J Neuroradiol 2009; 30(3): 591–596.
Dirix P, De Keyzer F, Vandecaveye V, Stroobants S, Hermans R, Nuyts S. Diffusion weighted magnetic resonance imaging to evaluate major salivary gland function before and after radiotherapy. Int J Radiat Oncol Biol Phys 2008; 71(5): 1365–1371.
Wang J, Takashima S, Kawakami F, et al. Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging. Radiology 2001; 220: 621–30.
Sakamoto J, Yoshino N, Okochi K, et al. Tissue characterization of head and neck lesions using diffusion-weighted MR imaging with SPLICE. Eur J Radiol. 2009; 69: 260-268.
Schaefer PW, Grant PE, Gonzalez RG. Diffusion-weighted MR Imaging of the Brain1. Radiology. 2000; 217: 331.
S. Kito, Y. Morimoto, T. Tanaka, et al. Utility of diffusion-weighted images using fast asymmetric spin-echo sequences for detection of abcess formation in the head and neck region Oral Surg Oral Med Oral Radiol Endod; 2006: 101: pp. 231–238.
S. Eida, M. Sumi, N. Sakihama, H. Takahashi, T. Nakamura. Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy AJNR Am J Neuroradiol 2007; 28: pp. 116–121.
Bukte Y, Paksoy Y, Genc¸ E, Uca AU. Role of diffusion-weighted MR in differential diagnosis of intracranial cystic lesions. Clinical Radiology 2005; 60: 375–83.
Morón FE, Morriss MC, Jones JJ, Hunter JV. Lumps and Bumps on the Head in Children: Use of CT and MR Imaging in Solving the Clinical Diagnostic Dilemma1. Radiographics. 2004; 24: 1655-1674.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186