Literature DB >> 30704177

[Interpreted American College of Radiology TI-RADS classification system of ultrasonography for thyroid nodules in 2017 edition and the experiences in clinical application].

S Z Cong1, C W Huang1, Z W Feng1.   

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.

Keywords:  Classification; Thyroid nodule; Ultrasonography

Mesh:

Year:  2019        PMID: 30704177     DOI: 10.3760/cma.j.issn.1673-0860.2019.01.018

Source DB:  PubMed          Journal:  Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi        ISSN: 1673-0860


  1 in total

1.  Time trend analysis of thyroid cancer surgery in China: single institutional database analysis of 15,000 patients.

Authors:  Chengqiu Sui; Nan Liang; Rui Du; Qiao He; Daqi Zhang; Fang Li; Yantao Fu; Gianlorenzo Dionigi; Hui Sun
Journal:  Endocrine       Date:  2020-03-02       Impact factor: 3.633

  1 in total

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