Neck Imaging Reporting and Data System: Principles and

Neuroimaging Clin. N. Am. · Aug 2020

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Neck Imaging Reporting and Data System: Principles and Implementation.

Head and neck cancer surveillance imaging is diagnostically challenging, often with highly distorted anatomy after surgery and chemoradiation therapy. In the era of standardized reporting, the Neck Imaging Reporting and Data System (NI-RADS) was developed as a numerical classification system to provide clear and concise radiology reports and recommend next management step. There are 5 categories, each conveying a certain level of suspicion for the presence of persistent or recurrent disease. This article reviews the goals of NI-RADS, NI-RADS categories and lexicon, current research, and the future direction of NI-RADS in posttreatment head and neck cancer surveillance.

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- Derek Hsu and Amy F Juliano.
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast, Suite BG03, Atlanta, GA 30322, USA. Electronic address: derek.evan.hsu@emory.edu.
- Neuroimaging Clin. N. Am. 2020 Aug 1; 30 (3): 369-377.
AbstractHead and neck cancer surveillance imaging is diagnostically challenging, often with highly distorted anatomy after surgery and chemoradiation therapy. In the era of standardized reporting, the Neck Imaging Reporting and Data System (NI-RADS) was developed as a numerical classification system to provide clear and concise radiology reports and recommend next management step. There are 5 categories, each conveying a certain level of suspicion for the presence of persistent or recurrent disease. This article reviews the goals of NI-RADS, NI-RADS categories and lexicon, current research, and the future direction of NI-RADS in posttreatment head and neck cancer surveillance.Copyright © 2020 Elsevier Inc. All rights reserved.

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Neck Imaging Reporting and Data System: Principles and Implementation.

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