Thyroid nodules are extremely common. Ultrasonography is the most effective imaging modality to diagnose and differentiate thyroid nodules. There are many versions of thyroid image reporting and data system(TI-RADS) evaluated by ultrasound, but some classification system indexes are complicated and clinical application is chaotic. In 2017, the American College of Radiology (ACR) published white papers that introduced a TI-RADS classification system based on conventional ultrasound to reduce the dependence on operators and facilitate communication with physicians. The purpose of the ACR TI-RADS is to establish the risk classification system for managing thyroid nodules and guide the physicians to make professional judgments. The ACR TI-RADS risk classification system is interpreted in this article, including the development, overview and feature categories of ACR TI-RADS, and authors' experiences in clinical application.
甲状腺结节临床上常见，超声已成为诊断和鉴别结节良恶性的最有效影像学方法。因有关超声评估的TI-RADS版本较多，部分分级系统指标复杂，使得临床应用受限。2017年美国放射学会（American College of Radiology，ACR）推出了基于常规二维图像的TI-RADS分级，以期减少对于操作者的依赖性，便于与临床医师沟通。ACR推出TI-RADS目的是对甲状腺结节建立一个危险分层系统，指导临床医生选择治疗方案。本文对ACR TI-RADS分级系统做一解读，主要内容包括ACR TI-RADS发展、概述、特征分类及临床应用体会。.
Keywords: Classification; Thyroid nodule; Ultrasonography.