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甲状腺细针穿刺中甲状旁腺组织的识别:一种结合细胞学、免疫组织化学和分子方法的联合途径。

Identification of parathyroid tissue in thyroid fine-needle aspiration: A combined approach using cytology, immunohistochemical, and molecular methods.

作者信息

Domingo Robert P, Ogden Lorna L, Been Laura C, Kennedy Giulia C, Traweek S Thomas

机构信息

Thyroid Cytopathology Partners, Austin, Texas.

Veracyte, Inc, South San Francisco, California.

出版信息

Diagn Cytopathol. 2017 Jun;45(6):526-532. doi: 10.1002/dc.23711. Epub 2017 Mar 30.

Abstract

OBJECTIVES

Parathyroid (PT) lesions can be difficult to recognize in thyroid fine needle aspirations (FNAs), and when not identified correctly, PT cells may be mistaken for potentially abnormal thyroid cells. We therefore studied the utility of combining cytology, immunohistochemistry, and a molecular classifier to identify PT cells in thyroid FNAs.

METHODS

Thyroid FNAs were received in CytoLyt, and were evaluated initially using The Bethesda System for Reporting Thyroid Cytology (TBSRTC). The PT molecular classifier was performed along with the Afirma Gene Expression Classifier (GEC) on samples with indeterminate cytology. Immunohistochemistry (IHC) for PT was performed on all samples using Cellient cell block sections. Clinical and ultrasound information was collected, when available.

RESULTS

PT tissue was identified in 60 thyroid FNAs. Forty-seven (47) samples had cytologic features that were suggestive of PT cells, and were subsequently confirmed with IHC. Thirteen (13) samples were not recognized as PT, and were considered to be either Bethesda III or IV indeterminate thyroid nodules; a PT gene expression signature was subsequently detected by the GEC. These samples were also confirmed as PT by IHC. Clinical and ultrasound features were suggestive of a PT lesion in only a third of cases.

CONCLUSIONS

Cytologic features, coupled with IHC, can identify intrathyroidal PT cells in the majority of CytoLyt samples. However, a significant minority (22%) of these FNAs may be misclassified as indeterminate by TBSRTC criteria, and molecular detection of the PT tissue can be helpful to potentially avoid an additional biopsy or diagnostic surgery. Diagn. Cytopathol. 2017;45:526-532. © 2017 Wiley Periodicals, Inc.

摘要

目的

甲状旁腺(PT)病变在甲状腺细针穿刺抽吸活检(FNA)中可能难以识别,若未正确识别,PT细胞可能被误认为潜在异常的甲状腺细胞。因此,我们研究了联合细胞学、免疫组织化学和分子分类器来识别甲状腺FNA中PT细胞的效用。

方法

甲状腺FNA样本收集于CytoLyt中,最初使用甲状腺细胞病理学报告贝塞斯达系统(TBSRTC)进行评估。对细胞学结果不确定的样本同时进行PT分子分类器和Afirma基因表达分类器(GEC)检测。使用Cellient细胞块切片对所有样本进行PT免疫组织化学(IHC)检测。如有可用信息,收集临床和超声信息。

结果

在60例甲状腺FNA中识别出PT组织。47个样本具有提示PT细胞的细胞学特征,随后经IHC证实。13个样本未被识别为PT,被认为是贝塞斯达III级或IV级不确定甲状腺结节;随后通过GEC检测到PT基因表达特征。这些样本也经IHC确认为PT。临床和超声特征仅在三分之一的病例中提示PT病变。

结论

细胞学特征与IHC相结合,可在大多数CytoLyt样本中识别甲状腺内PT细胞。然而,根据TBSRTC标准,这些FNA中有相当一部分(22%)可能被错误分类为不确定,PT组织的分子检测有助于潜在地避免额外的活检或诊断性手术。诊断细胞病理学。2017;45:526 - 532。©2017威利期刊公司。

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