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Comparative analysis of diagnostic performance feasibility and cost of different test-methods for thyroid nodules with indeterminate cytology

机译:细胞学检查不确定的甲状腺结节不同测试方法的诊断性能可行性和成本的比较分析

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摘要

Since it is impossible to recognize malignancy at fine needle aspiration (FNA) cytology in indeterminate thyroid nodules, surgery is recommended for all of them. However, cancer rate at final histology is <30%. Many different test-methods have been proposed to increase diagnostic accuracy in such lesions, including Galectin-3-ICC (GAL-3-ICC), BRAF mutation analysis (BRAF), Gene Expression Classifier (GEC) alone and GEC+BRAF, mutation/fusion (M/F) panel, alone, M/F panel+miRNA GEC, and M/F panel by next generation sequencing (NGS), FDG-PET/CT, MIBI-Scan and TSHR mRNA blood assay.We performed systematic reviews and meta-analyses to compare their features, feasibility, diagnostic performance and cost. GEC, GEC+BRAF, M/F panel+miRNA GEC and M/F panel by NGS were the best in ruling-out malignancy (sensitivity = 90%, 89%, 89% and 90% respectively). BRAF and M/F panel alone and by NGS were the best in ruling-in malignancy (specificity = 100%, 93% and 93%). The M/F by NGS showed the highest accuracy (92%) and BRAF the highest diagnostic odds ratio (DOR) (247). GAL-3-ICC performed well as rule-out (sensitivity = 83%) and rule-in test (specificity = 85%), with good accuracy (84%) and high DOR (27) and is one of the cheapest (113 USD) and easiest one to be performed in different clinical settings.In conclusion, the more accurate molecular-based test-methods are still expensive and restricted to few, highly specialized and centralized laboratories. GAL-3-ICC, although limited by some false negatives, represents the most suitable screening test-method to be applied on a large-scale basis in the diagnostic algorithm of indeterminate thyroid lesions.
机译:由于无法确定不确定的甲状腺结节在细针穿刺(FNA)细胞学检查中是否为恶性肿瘤,因此建议对所有人进行手术治疗。但是,最终组织学的癌症发生率小于30%。已经提出了许多不同的测试方法来提高此类病变的诊断准确性,包括Galectin-3-ICC(GAL-3-ICC),BRAF突变分析(BRAF),单独的基因表达分类器(GEC)和GEC + BRAF突变/融合(M / F)面板,单独的M / F面板+ miRNA GEC和M / F面板通过下一代测序(NGS),FDG-PET / CT,MIBI-Scan和TSHR mRNA血液分析。审查和荟萃分析,以比较其功能,可行性,诊断性能和成本。 GEC,GEC + BRAF,M / F小组+ miRNA NGS的GEC和M / F小组在排除恶性肿瘤方面表现最好(敏感性分别为90%,89%,89%和90%)。单独进行BRAF和M / F评估以及NGS评估在恶性判定方面是最好的(特异性= 100%,93%和93%)。 NGS的M / F显示最高准确度(92%),BRAF显示最高诊断比值比(DOR)(247)。 GAL-3-ICC在排除(灵敏度= 83%)和引入检测(特异性= 85%)方面表现良好,准确度(84%)和DOR高(27),是最便宜的一种(113)总而言之,基于分子的测试方法仍然很昂贵,并且局限于少数几个高度专业化和集中化的实验室。 GAL-3-ICC尽管受到一些假阴性的限制,但它代表了最不确定的甲状腺病变诊断算法中最适合大规模应用的筛选测试方法。

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