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一项前瞻性研究评估了联合临床因素和候选诊断标志物用于提高甲状腺细针抽吸活检准确性的准确性。

A prospective study evaluating the accuracy of using combined clinical factors and candidate diagnostic markers to refine the accuracy of thyroid fine needle aspiration biopsy.

机构信息

Endocrine Oncology Section, Surgery Branch, National Cancer Institute, Bethesda, MD, USA.

出版信息

Surgery. 2010 Dec;148(6):1170-6; discussion 1176-7. doi: 10.1016/j.surg.2010.09.025.

Abstract

BACKGROUND

Approximately 30% of fine needle aspiration biopsies of the thyroid have inconclusive results. We conducted a prospective trial to determine whether clinical and molecular markers could be used in combination to improve the accuracy of thyroid fine needle aspiration biopsy.

METHODS

Clinical, tumor genotyping for common somatic mutations (BRAF V600E, NRAS, KRAS, RET/PTC1, RET/PTC3, and NTRK1), and the gene expression levels of 6 candidate diagnostic markers were analyzed by univariate and multivariate methods in 341 patients to determine whether they could distinguish reliably benign from malignant thyroid neoplasms, and a scoring model was derived.

RESULTS

By a multivariate analysis, fine needle aspiration biopsy cytology classification, the presence of a NRAS mutation, and the tissue inhibitor of metalloproteinase 1 expression level were associated jointly with malignancy. The overall accuracy of the scoring model, including these 3 variables, to distinguish benign from malignant thyroid tumors was 91%, including 67% for the indeterminate and 77% for the suspicious FNA subgroups.

CONCLUSION

Fine needle aspiration biopsy cytology classification, the presence of NRAS mutation, and tissue inhibitor of metalloproteinase 1 messenger RNA expression levels in combination provide a greater diagnostic accuracy than fine needle aspiration biopsy cytology alone to allow selection of more definitive initial operative treatment. The sensitivity of the scoring model, however, was too low to avoid the need for diagnostic thyroidectomies for indeterminate fine needle aspiration biopsy findings.

摘要

背景

约 30%的甲状腺细针穿刺活检结果为不确定。我们进行了一项前瞻性试验,以确定临床和分子标志物是否可以联合使用,以提高甲状腺细针穿刺活检的准确性。

方法

对 341 例患者的临床、常见体细胞突变(BRAF V600E、NRAS、KRAS、RET/PTC1、RET/PTC3 和 NTRK1)肿瘤基因分型以及 6 种候选诊断标志物的基因表达水平进行了单变量和多变量分析,以确定它们是否能可靠地区分良性和恶性甲状腺肿瘤,并得出评分模型。

结果

通过多变量分析,细针穿刺活检细胞学分类、NRAS 突变的存在以及组织抑制剂 1 基因表达水平与恶性肿瘤有关。包括这 3 个变量的评分模型区分良性和恶性甲状腺肿瘤的总体准确率为 91%,包括不确定组的 67%和可疑组的 77%。

结论

细针穿刺活检细胞学分类、NRAS 突变的存在以及组织抑制剂 1 信使 RNA 表达水平的联合检测比单独的细针穿刺活检细胞学具有更高的诊断准确性,可选择更明确的初始手术治疗。然而,该评分模型的敏感性太低,无法避免对不确定的细针穿刺活检结果进行诊断性甲状腺切除术。

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