甲状腺结节
医学
结核(地质)
甲状腺
词典
混乱
危险分层
恶性肿瘤
放射科
病理
人工智能
内科学
计算机科学
古生物学
精神分析
生物
心理学
作者
Cosimo Durante,László Hegedüs,Dong Gyu Na,Enrico Papini,Jennifer A. Sipos,Jung Hwan Baek,Andrea Frasoldati,Giorgio Grani,Edward G. Grant,Eleonora Horvath,Jenny K. Hoang,Susan J. Mandel,William D. Middleton,Rose Ngu,Lisa A. Orloff,Jung Hee Shin,Pierpaolo Trimboli,Jung Hyun Yoon,Franklin N. Tessler
出处
期刊:Radiology
[Radiological Society of North America]
日期:2023-10-01
卷期号:309 (1)
被引量:30
标识
DOI:10.1148/radiol.231481
摘要
Multiple US-based systems for risk stratification of thyroid nodules are in use worldwide. Unfortunately, the malignancy probability assigned to a nodule varies, and terms and definitions are not consistent, leading to confusion and making it challenging to compare study results and craft revisions. Consistent application of these systems is further hampered by interobserver variability in identifying the sonographic features on which they are founded. In 2018, an international multidisciplinary group of 19 physicians with expertise in thyroid sonography (termed the International Thyroid Nodule Ultrasound Working Group) was convened with the goal of developing an international system, tentatively called the International Thyroid Imaging Reporting and Data System, or I-TIRADS, in two phases: (phase I) creation of a lexicon and atlas of US descriptors of thyroid nodules and (phase II) development of a system that estimates the malignancy risk of a thyroid nodule. This article presents the methods and results of phase I. The purpose herein is to show what has been accomplished thus far, as well as generate interest in and support for this effort in the global thyroid community. © RSNA, 2023 See also the article by Lee et al and the editorial by Reuter in this issue.
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