Review the Appropriate Approach for Evaluation of Metastatic Cervical Lymph Nodes on Cross-Sectional Neck Imaging

Authors

Yasmin Davoudi1,*
1Associate Professor of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran
*Corresponding Author: Associate Professor of Radiology, Mashhad University of Medical Sciences, Mashhad, Iran, [email protected]. Email: [email protected]

IJ Radiology:Vol. 14, issue Special Issue; e48361
Published online:Apr 12, 2017
Article type:Abstract
Received:Dec 20, 2016
Accepted:Feb 07, 2017
How to Cite:Davoudi Y. Review the Appropriate Approach for Evaluation of Metastatic Cervical Lymph Nodes on Cross-Sectional Neck Imaging. I J Radiol. 2017;14(Special Issue):e48361. doi: https://doi.org/10.5812/iranjradiol.48361

Abstract

The imaging assessment of nodal disease can be challenging for the radiologist because there are multiple sites to review and differing opinions about criteria for abnormal nodes. The ability to accurately detect nodal metastases is improved with knowledge of the criteria for abnormal nodes, the nodal drainage patterns, and common imaging pitfalls. In this article, we introduce these basic concepts and review the appropriate approach for evaluation of metastatic cervical lymph nodes on cross-sectional neck imaging. This presentation would cover the following topics: criteria for abnormal nodes which includes size, morphology, margin and internal content of the lymph nodes (cystic changes, Ca, etc.), site classification based on the system devised by American head and neck society and American academy of otolaryngology-head and neck surgery, features important for Staging and the radiologists role is to describe characteristics pertinent to the N staging. Important features for management such as extra capsular spread. It would also have a brief review of Advanced Imaging Techniques for Nodal Metastases and the indications for FNA in head and neck lymphadenopathies.

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© 2017, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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