The 2017 ACR TI-RADS: pictorial essay
收藏DataCite Commons2022-05-31 更新2024-07-29 收录
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https://scielo.figshare.com/articles/dataset/The_2017_ACR_TI-RADS_pictorial_essay/19945091/1
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Abstract High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules. The method has recently come to be used widely and often, which has increased the rate of thyroid nodule detection. In 2017, the American College of Radiology (ACR) established a risk-stratification system designated the Thyroid Imaging Reporting and Data System (TI-RADS) to be a practical guide for widespread use, with a single lexicon and standardization of ultrasound reports of thyroid nodules. The objective of this study was to present a practical approach, using examples to illustrate the criteria evaluated by the 2017 ACR TI-RADS, in order to help minimize uncertainties regarding its application by sonographers.
摘要:高分辨率超声是评估甲状腺结节的首选成像方法。近年来该技术得到广泛且频繁的应用,使得甲状腺结节的检出率得以提升。2017年,美国放射学会(American College of Radiology, ACR)建立了风险分层系统——甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System, TI-RADS),旨在作为通用实用指南,采用统一术语库并实现甲状腺结节超声报告的标准化。本研究旨在提出一套实用方法,结合实例阐释2017版ACR TI-RADS的评估标准,以帮助超声医师尽可能降低该系统应用过程中的不确定性。
提供机构:
SciELO journals
创建时间:
2022-05-31
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是关于2017 ACR TI-RADS的图示论文,包含126个文件,旨在通过实例说明TI-RADS的评估标准,帮助超声检查人员减少应用中的不确定性。数据集属于放射学和器官成像类别,关键词包括甲状腺、甲状腺疾病和超声检查。
以上内容由遇见数据集搜集并总结生成



