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甲状腺细胞学领域超声分类系统概述

Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology.

作者信息

Rossi Esther Diana, Pantanowitz Liron, Raffaelli Marco, Fadda Guido

机构信息

Division of Anatomic Pathology and Histology, Fondazione Policlinico Universitario Agpstino Gemelli, 00168 Rome, Italy.

Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI 48103, USA.

出版信息

Cancers (Basel). 2021 Jun 23;13(13):3133. doi: 10.3390/cancers13133133.

DOI:10.3390/cancers13133133
PMID:34201557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8268099/
Abstract

The increasing application of ultrasound (US) in recent years has led to a greater number of thyroid nodule diagnoses. Consequently, the number of fine needle aspirations performed to evaluate these lesions has increased. Although the majority of thyroid nodules are benign, identifying methods to define specific lesions and tailor risk of malignancy has become vital. Some of the tools employed to stratify thyroid nodule risk include clinical factors, thyroid US findings, and reporting systems for thyroid cytopathology. Establishing high concordance between US features and cytologic diagnoses might help reduce healthcare costs by diminishing unnecessary thyroid procedures and treatment. This review aims to review radiology US classification systems that influence the practice of thyroid cytology.

摘要

近年来,超声(US)应用的日益增加导致甲状腺结节诊断数量增多。因此,为评估这些病变而进行的细针穿刺数量也有所增加。尽管大多数甲状腺结节是良性的,但确定定义特定病变和调整恶性风险的方法变得至关重要。用于分层甲状腺结节风险的一些工具包括临床因素、甲状腺超声检查结果以及甲状腺细胞病理学报告系统。在美国特征与细胞学诊断之间建立高度一致性可能有助于通过减少不必要的甲状腺检查和治疗来降低医疗成本。本综述旨在回顾影响甲状腺细胞学实践的放射学超声分类系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/2e4076af8565/cancers-13-03133-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/d5901822d008/cancers-13-03133-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/e8f2b5cc1755/cancers-13-03133-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/2e4076af8565/cancers-13-03133-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/d5901822d008/cancers-13-03133-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/e8f2b5cc1755/cancers-13-03133-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5996/8268099/2e4076af8565/cancers-13-03133-g003.jpg

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Diagn Cytopathol. 2021 Apr;49(4):494-499. doi: 10.1002/dc.24644. Epub 2020 Nov 5.
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