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颈部成像报告和数据系统:原则与实施。

Neck Imaging Reporting and Data System: Principles and Implementation.

机构信息

Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road Northeast, Suite BG03, Atlanta, GA 30322, USA.

Department of Radiology, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA. Electronic address: https://twitter.com/amyfjuliano.

出版信息

Neuroimaging Clin N Am. 2020 Aug;30(3):369-377. doi: 10.1016/j.nic.2020.05.001. Epub 2020 Jun 6.

Abstract

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.

摘要

头颈部癌症监测成像具有诊断挑战性,手术后和放化疗后常伴有高度变形的解剖结构。在标准化报告时代,颈成像报告和数据系统(NI-RADS)作为一种数字分类系统被开发出来,以提供清晰简洁的放射学报告并推荐下一步管理步骤。共有 5 个类别,每个类别都对持续或复发疾病的存在表示一定程度的怀疑。本文综述了 NI-RADS 的目标、NI-RADS 类别和词汇、当前研究以及 NI-RADS 在头颈部癌症治疗后监测中的未来方向。

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