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提高甲状腺结节ACR TI-RADS解读一致性的小贴士。

Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS.

作者信息

Low Gavin, Bara Meredith, Du Yang, Katlariwala Prayash, Croutze Roger, Resch Katrin, Porter Jonathan, Sam Medica, Wilson Mitchell

机构信息

Radiology and Diagnostic Imaging, University of Alberta, Canada.

出版信息

J Ultrason. 2022 Feb 8;22(88):e51-e56. doi: 10.15557/JoU.2022.0009. eCollection 2022 Mar.

Abstract

Thyroid nodules are very common in the general population. Most are benign and even those that are malignant are typically slow-growing and do not require treatment. Overdiagnosis and overtreatment of thyroid nodules has resulted in significant healthcare costs. ACR TI-RADS was developed to address these concerns, and reduce the number of unnecessary biopsies and follow-up intervals. ACR TI-RADS offers a point-based risk stratification system centered on five sonographic features: consistency, echogenicity, shape, margins and echogenic foci. While the system has noticeable benefits and comparable accuracy with other available risk stratification systems (ATA, EU-TIRADS and K-TIRADS), there are inherent challenges relating to suboptimal inter-reader agreement. In this article, we include 10 educational tips that may be helpful to the ultrasound practitioner for improving the consistency of nodule interpretation with ACR TI-RADS.

摘要

甲状腺结节在普通人群中非常常见。大多数是良性的,即使是恶性的通常生长缓慢,不需要治疗。甲状腺结节的过度诊断和过度治疗导致了高昂的医疗费用。美国放射学会甲状腺影像报告和数据系统(ACR TI-RADS)的开发就是为了解决这些问题,并减少不必要的活检数量和随访间隔。ACR TI-RADS提供了一个基于点数的风险分层系统,该系统以五个超声特征为中心:质地、回声、形状、边界和钙化灶。虽然该系统具有显著的优势,并且与其他可用的风险分层系统(美国甲状腺协会[ATA]、欧洲甲状腺影像报告和数据系统[EU-TIRADS]以及韩国甲状腺影像报告和数据系统[K-TIRADS])具有相当的准确性,但在不同阅片者之间的一致性方面存在固有挑战。在本文中,我们列出了10条教育小贴士,可能有助于超声从业者提高根据ACR TI-RADS对结节进行解读的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80f5/9009349/cca0681488a7/JoU-22-88-0009-g001.jpg

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