Literature DB >> 32876470

Best Practices: Application of NI-RADS for Posttreatment Surveillance Imaging of Head and Neck Cancer.

Sara B Strauss1, Ashley H Aiken2,3, Joshua E Lantos1, C Douglas Phillips1.   

Abstract

Imaging surveillance is an important component of posttreatment management of head and neck cancers. There is variability in the surveillance regimen used by various practitioners and institutions, with no official National Comprehensive Cancer Network guidelines for patients showing no symptoms beyond 6 months posttreatment. Moreover, imaging of the neck after treatment is a complex examination with significant interreader heterogeneity, particularly in terms of the manner in which degree of suspicion for disease recurrence is expressed. The Neck Imaging Reporting and Data System (NI-RADS) was introduced by the American College of Radiology (ACR) in 2018 as a practical guide for the interpreting radiologist. NI-RADS is a proposed interpretive framework that can be applied to any standardized or institutional surveillance imaging protocol. NI-RADS simplifies communication between radiologists and referring clinicians and provides management guidance linked to specific levels of suspicion. The ACR NI-RADS Committee also provided general best practice recommendations for imaging surveillance modality and timing in the 2018 white paper. This article will review existing literature regarding choice of modality and timeline for surveillance in treated cancer of the head and neck. NI-RADS will then be presented as an approach to imaging reporting, interpretation, and design of next steps in management.

Entities:  

Keywords:  Neck Imaging Reporting and Data System (NI-RADS); head and neck squamous cell carcinoma; surveillance

Year:  2021        PMID: 32876470     DOI: 10.2214/AJR.20.23841

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  1 in total

1.  ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer: A Systematic Review and Meta-analysis.

Authors:  A Baba; R Kurokawa; M Kurokawa; O Hassan; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-24       Impact factor: 3.825

  1 in total

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