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首页> 外文期刊>Thyroid: official journal of the American Thyroid Association >Afirma Gene Sequencing Classifier Compared with Gene Expression Classifier in Indeterminate Thyroid Nodules
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Afirma Gene Sequencing Classifier Compared with Gene Expression Classifier in Indeterminate Thyroid Nodules

机译:Afirma基因测序分类器与不确定的甲状腺结节中的基因表达分类器相比

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摘要

Background: The Afirma Gene Expression Classifier (GEC) has been used to further characterize cytologically indeterminate (cyto-I) thyroid nodules into either benign or suspicious categories. However, its relatively low positive predictive value (PPV) limited its use as a classifier for patients with suspicious results. The Afirma Gene Sequencing Classifier (GSC) was developed to improve PPV while maintaining a high negative predictive value (NPV), yet real-world assessment of its performance is lacking. Methods: We analyzed all patients who had cyto-I nodules and molecular testing with either GEC or GSC between 2011 and 2018 at a single academic medical center. Clinical information was obtained for 343 GEC-tested nodules and 164 GSC-tested nodules. Results: The GSC had a statistically significant higher benign call rate (76.2% vs. 48.1%, p < 0.001), PPV (60.0% vs. 33.3%, p = 0.01), and specificity (94.3% vs. 61.4%, p < 0.001) than the GEC. Improvement was statistically significant in both Bethesda III and Bethesda IV nodules. In particular, the benign call rate of GSC was significantly higher in nodules with Hurthle cell changes (88.8% vs. 25.7%, p < 0.01). The rate of surgical intervention in the indeterminate nodule cohort has decreased by 66.4% since switching to the GSC; 52.5% of indeterminate nodules went to surgery while using the GEC compared with 17.6% with the GSC (p < 0.001). This reduction was statistically significant in nodules with Bethesda III diagnoses, demonstrating a 70.9% decrease (GEC 51.3% vs. GSC 14.9%, p < 0.001), and in nodules with Bethesda IV cytology, a 39.2% decrease was noted (GEC 54.8% vs. GSC 33.3%, p = 0.003). Conclusions: Data from a single academic tertiary center show an improved specificity and PPV while maintaining high sensitivity and NPV for GSC compared with GEC. A statistically significant increase in benign call rates was observed in GSC compared with GEC, likely indicating fewer false positive results. After implementation of GSC, surgical interventions have been reduced by 68%.
机译:背景:AFIRMA基因表达分类剂(GEC)已被用于进一步表征细胞学上不确定(CYTO-I)甲状腺结节进入良性或可疑类别。然而,其相对低的阳性预测值(PPV)限制了其用作可疑结果患者的分类器。开发了AFIRMA基因测序分类器(GSC)以改善PPV,同时保持高负预测值(NPV),但缺乏对其性能的现实世界评估。方法:在2011年和2018年间,分析了在2011年和2018年间在2011年和2018年间在2011年和2018年间GEC或GSC进行细胞细胞结节和分子测试的所有患者。获得343个GEC测试结节和164个GSC测试结节的临床信息。结果:GSC具有统计上显着的更高良性呼叫率(76.2%对48.1%,P <0.001),PPV(60.0%与33.3%,P = 0.01)和特异性(94.3%与61.4%,p <0.001)比GEC。在Bethesda III和Bethesda IV结节中,改善在统计学上显着。特别是,GSC的良性呼叫率在结节中显着高,细胞变化(88.8%vs.25.7%,P <0.01)。由于切换到GSC,但不确定结节队列中的手术干预率降低了66.4%;使用GEC的GSC与GEC相比,52.5%的不确定结节在使用GEC时进行手术,而GSC(P <0.001)。这种降低在具有Bethesda III诊断的结节中具有统计学意义,证明了70.9%的降低(GEC 51.3%对GSC 14.9%,P <0.001),并注意到具有百叶酸IV细胞学的结节,注意到39.2%(GEC 54.8%)与GSC 33.3%,p = 0.003)。结论:来自单个学术三级中心的数据显示出改善的特异性和PPV,同时保持高灵敏度和GSC的NPV与GEC相比。与GEC相比,在GSC中观察到统计上呼叫率的统计显着增加,可能表明较少的假阳性结果。实施GSC后,手术干预措施已减少68%。

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