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甲状腺细针穿刺细胞学检查结果不确定的结节的分子检测进展。

Update on Molecular Testing for Cytologically Indeterminate Thyroid Nodules.

机构信息

From the Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Dr Nishino); and the Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania (Dr Nikiforova).

出版信息

Arch Pathol Lab Med. 2018 Apr;142(4):446-457. doi: 10.5858/arpa.2017-0174-RA. Epub 2018 Jan 16.

DOI:10.5858/arpa.2017-0174-RA
PMID:29336606
Abstract

CONTEXT

  • Approximately 15% to 30% of thyroid nodules that undergo fine-needle aspiration are classified as cytologically indeterminate, presenting management challenges for patients and clinicians alike. During the past several years, several molecular tests have been developed to reduce the diagnostic uncertainty of indeterminate thyroid fine-needle aspirations.

OBJECTIVE

  • To review the methodology, clinical validation, and recent peer-reviewed literature for 4 molecular tests that are currently marketed for cytologically indeterminate thyroid fine-needle aspiration specimens: Afirma, ThyroSeq, ThyGenX/ThyraMIR, and RosettaGX Reveal.

DATA SOURCES

  • Peer-reviewed literature retrieved from PubMed search, data provided by company websites and representatives, and authors' personal experiences.

CONCLUSIONS

  • The 4 commercially available molecular tests for thyroid cytology offer unique approaches to improve the risk stratification of thyroid nodules. Familiarity with data from the validation studies as well as the emerging literature about test performance in the postvalidation setting can help users to select and interpret these tests in a clinically meaningful way.
摘要

背景

  • 约有 15%至 30%接受细针抽吸的甲状腺结节被归类为细胞学不确定,这给患者和临床医生带来了管理上的挑战。在过去的几年中,已经开发出了几种分子检测方法来降低不确定的甲状腺细针抽吸的诊断不确定性。

目的

  • 回顾目前市售的 4 种用于细胞学不确定的甲状腺细针抽吸标本的分子检测方法的方法学、临床验证和最近的同行评议文献:Afirma、ThyroSeq、ThyGenX/ThyraMIR 和 RosettaGX Reveal。

资料来源

  • 从 PubMed 搜索中检索到的同行评议文献、公司网站和代表提供的数据以及作者的个人经验。

结论

  • 目前市售的 4 种用于甲状腺细胞学的分子检测方法提供了改善甲状腺结节风险分层的独特方法。熟悉验证研究的数据以及关于验证后检测性能的新文献,可以帮助用户以有临床意义的方式选择和解释这些检测。

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