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一种仅使用四类报告甲状腺细胞病理学的简化贝塞斯达系统提高了观察者内部和观察者之间的诊断一致性,并提供了非重叠的恶性风险估计。

A simplified Bethesda System for reporting thyroid cytopathology using only four categories improves intra- and inter-observer diagnostic agreement and provides non-overlapping estimates of malignancy risks.

作者信息

Walts Ann E, Bose Shikha, Fan Xuemo, Frishberg David, Scharre Karen, de Peralta-Venturina Mariza, Zhai Jing, Marchevsky Alberto M

机构信息

Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA.

出版信息

Diagn Cytopathol. 2012 May;40 Suppl 1:E62-8. doi: 10.1002/dc.21697. Epub 2011 May 6.

DOI:10.1002/dc.21697
PMID:21557534
Abstract

Our previous study utilizing the 2008 NCI six-category system (also known as The Bethesda System) for reporting thyroid fine-needle aspirations (FNA) identified considerable overlap in diagnosis and in assigned malignancy risk estimates for the "follicular lesion of undetermined significance (FLUS)" and "follicular neoplasm (FN)" categories and for the "suspicious for malignancy (Susp)" and "malignant" categories. We proposed a simplified Bethesda System for reporting thyroid FNAs that provided four non-overlapping, statistically significant, and more clinically relevant diagnostic categories: unsatisfactory, benign, FLUS/FN, and Susp/malignant. In the current study, six cytopathologists participated in a blinded retrospective review of 60 thyroid FNAs and kappa statistics were utilized to compare the intra- and inter-observer diagnostic agreements obtained using the six-category and the simplified four-category schemes. Surgical follow-up was used to determine which scheme provided more discrete malignancy risk estimates. Use of the simplified four-category scheme significantly improved intra- and inter-observer diagnostic agreement levels, significantly increased the sensitivity of FNA for a diagnosis of carcinoma in the subsequently resected thyroid glands, and provided non-overlapping malignancy risk estimates for each diagnostic category.

摘要

我们之前利用2008年美国国立癌症研究所(NCI)的六分类系统(也称为贝塞斯达系统)报告甲状腺细针穿刺活检(FNA)的研究发现,“意义不明确的滤泡性病变(FLUS)”和“滤泡性肿瘤(FN)”类别以及“可疑恶性(Susp)”和“恶性”类别在诊断和指定的恶性风险估计方面存在相当大的重叠。我们提出了一种简化的贝塞斯达系统用于报告甲状腺FNA,该系统提供了四个不重叠、具有统计学意义且更具临床相关性的诊断类别:不满意、良性、FLUS/FN以及Susp/恶性。在当前研究中,六位细胞病理学家参与了对60例甲状腺FNA的盲法回顾性评估,并使用kappa统计量来比较使用六分类方案和简化的四分类方案所获得的观察者内和观察者间诊断一致性。采用手术随访来确定哪种方案能提供更离散的恶性风险估计。使用简化的四分类方案显著提高了观察者内和观察者间的诊断一致性水平,显著提高了FNA对随后切除的甲状腺中癌的诊断敏感性,并为每个诊断类别提供了不重叠的恶性风险估计。

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