Interpreted American College of Radiology TI-RADS classification system of ultrasonography for thyroid nodules in 2017 edition and the experiences in clinical application
10.3760/cma.j.issn.1673-0860.2019.01.018
- VernacularTitle: 2017版甲状腺结节超声检查美国放射学会甲状腺影像报告和数据系统分级解读及临床应用
- Author:
Shuzhen CONG
1
;
Chunwang HUANG
1
;
Zhanwu FENG
1
Author Information
1. Department of Ultrasound, Guangdong General Hospital (Guangdong Academy of Medical Sciences) , Guangzhou 510080, China
- Publication Type:Journal Article
- Keywords:
Thyroid nodule;
Ultrasonography;
Classification
- From:
Chinese Journal of Otorhinolaryngology Head and Neck Surgery
2019;54(1):73-77
- CountryChina
- Language:Chinese
-
Abstract:
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.
