Wang Maxwell M, Beckett Katrina, Douek Michael, Masamed Rinat, Patel Maitraya, Tseng Chi-Hong, Yeh Michael W, Leung Angela M, Livhits Masha J
David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California.
Department of Radiology, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California.
J Endocr Soc. 2020 Jun 20;4(9):bvaa081. doi: 10.1210/jendso/bvaa081. eCollection 2020 Sep 1.
Molecular testing can refine the diagnosis for the 20% of thyroid fine-needle aspiration biopsies that have indeterminate cytology. We assessed the diagnostic accuracy of molecular testing based on ultrasound risk classification.
This retrospective cohort study analyzed all thyroid nodules with indeterminate cytology at an academic US medical center (2012-2016). All indeterminate nodules underwent reflexive molecular testing with the Afirma Gene Expression Classifier (GEC). Radiologists performed blinded reviews to categorize each nodule according to the American Thyroid Association (ATA) ultrasound classification and the American College of Radiology Thyroid Imaging, Reporting and Data System. GEC results and diagnostic performance were compared across ultrasound risk categories.
Of 297 nodules, histopathology confirmed malignancy in 65 (22%). Nodules by ATA classification were 8% high suspicion, 44% intermediate, and 48% low/very low suspicion. A suspicious GEC result was more likely in ATA high-suspicion nodules (81%) than in nodules of all other ATA categories (57%; = .04). The positive predictive value (PPV) of GEC remained consistent across ultrasound categories (ATA high suspicion, 64% vs all other ATA categories, 48%; = .39). The ATA high-suspicion category had higher specificity than a suspicious GEC result (93% vs 51%; < .01). A suspicious GEC result did not increase specificity for the ATA high-suspicion category.
The PPV of molecular testing remained consistent across ultrasound risk categories. However, a suspicious GEC result was very likely in ATA high-suspicion nodules and did not improve specificity in this sonographic category.
分子检测可完善对20%甲状腺细针穿刺活检结果为不确定的病例的诊断。我们基于超声风险分类评估了分子检测的诊断准确性。
这项回顾性队列研究分析了美国一家学术医疗中心(2012 - 2016年)所有甲状腺细针穿刺活检结果为不确定的结节。所有不确定结节均采用Afirma基因表达分类器(GEC)进行反射性分子检测。放射科医生进行盲法评估,根据美国甲状腺协会(ATA)超声分类以及美国放射学会甲状腺影像报告和数据系统对每个结节进行分类。比较了不同超声风险类别的GEC结果及诊断性能。
297个结节中,组织病理学确诊恶性病变65个(22%)。根据ATA分类,结节为高可疑的占8%,中等可疑的占44%,低/极低可疑的占48%。ATA高可疑结节出现可疑GEC结果的可能性(81%)高于所有其他ATA类别的结节(57%;P = 0.04)。GEC的阳性预测值(PPV)在各超声类别中保持一致(ATA高可疑为64%,其他所有ATA类别为48%;P = 0.39)。ATA高可疑类别比可疑GEC结果具有更高的特异性(93%对51%;P < 0.01)。可疑GEC结果并未提高ATA高可疑类别的特异性。
分子检测的PPV在各超声风险类别中保持一致。然而,ATA高可疑结节很可能出现可疑GEC结果,且在该超声类别中并未提高特异性。