Diagnostic performances of the Afirma gene sequencing classifier in comparison with the gene expression classifier: A meta‐analysis

2020 ◽  
Author(s):  
Huy Gia Vuong ◽  
Truong Phan Xuan Nguyen ◽  
Lewis A. Hassell ◽  
Chan Kwon Jung
Keyword(s):  
Gene Expression ◽  
Meta Analysis ◽  
Gene Sequencing ◽  
Gene Expression Classifier

Abstract #1211 Early Experience of Gene Sequencing Classifier Compared to Gene Expression Classifier

2018 ◽  
Vol 24 ◽  
pp. 309-310
Author(s):  
Mayumi Endo ◽  
Fadi Nabhan ◽  
Laura Ryan ◽  
Shumei Meng ◽  
John Phay ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Sequencing ◽  
Early Experience ◽  
Gene Expression Classifier

scholarly journals Afirma Gene Sequencing Classifier Compared with Gene Expression Classifier in Indeterminate Thyroid Nodules

Thyroid ◽  
2019 ◽  
Vol 29 (8) ◽  
pp. 1115-1124 ◽  
Author(s):  
Mayumi Endo ◽  
Fadi Nabhan ◽  
Kyle Porter ◽  
Katie Roll ◽  
Lawrence A. Shirley ◽  
...  
Keyword(s):  
Gene Expression ◽  
Thyroid Nodules ◽  
Gene Sequencing ◽  
Gene Expression Classifier

scholarly journals The Diagnostic Performance of Afirma Gene Expression Classifier for the Indeterminate Thyroid Nodules: A Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Ying Liu ◽  
Bihui Pan ◽  
Li Xu ◽  
Da Fang ◽  
Xianghua Ma ◽  
...  
Keyword(s):  
Gene Expression ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Meta Analysis ◽  
High Sensitivity ◽  
Diagnostic Odds Ratio ◽  
Needle Aspiration ◽  
Summary Receiver Operating Characteristic ◽  
Gene Expression Classifier

Background. Approximately 15 to 30% of thyroid nodules evaluated by fine-needle aspiration (FNA) were classified as indeterminate; the accurate diagnostic molecular tests of these nodules remain a challenge. We aimed to evaluate the diagnostic performance of Afirma gene expression classifier (GEC) for the indeterminate thyroid nodules (ITNs). Methods. Studies published from January 2005 to December 2018 were systematically reviewed. The gold reference standard relied on the histopathologic results diagnosis from thyroidectomy surgical specimens. MetaDisc software was used to investigate the pooled sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curves. Results. A total of 18 studies involving 5290 patients with 3290 cases of ITNs were included. Collected data revealed that the pooled sensitivity of GEC was 95.5% (95% CI 93.3%–97.0%, p < 0.001), the specificity was 22.1% (95% CI 19.4%-24.9%, p < 0.001), the NPV was 88.2% (95% CI 0.833–0.921, p < 0.001), the PPV was 44.3% (95% CI 0.416–0.471, p < 0.001), and the DOR was 5.25 (95% CI 3.42–8.04, p= 0.855). Conclusion. The GEC has quite high sensitivity of 95.5% but low specificity of 22.1%. The high sensitivity makes it probable to rule out malignant nodules. Thus, over half of nodules with GEC-suspicious results still require further validation like molecular markers, diagnostic surgery, or long follow-up, which limits its use in future clinical practice.

Gene expression classifier for the diagnosis of indeterminate thyroid nodules: a meta-analysis

2016 ◽  
Vol 33 (2) ◽  
Author(s):  
Prasanna Santhanam ◽  
Rodhan Khthir ◽  
Todd Gress ◽  
Ayman Elkadry ◽  
Omolola Olajide ◽  
...  
Keyword(s):  
Gene Expression ◽  
Thyroid Nodules ◽  
Meta Analysis ◽  
Gene Expression Classifier

scholarly journals Evaluation of 167 Gene Expression Classifier (GEC) and ThyroSeq v2 Diagnostic Accuracy in the Preoperative Assessment of Indeterminate Thyroid Nodules: Bivariate/HROC Meta-analysis

2018 ◽  
Vol 30 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Martyna Borowczyk ◽  
Ewelina Szczepanek-Parulska ◽  
Michał Olejarz ◽  
Barbara Więckowska ◽  
Frederik A. Verburg ◽  
...  
Keyword(s):  
Gene Expression ◽  
Diagnostic Accuracy ◽  
Thyroid Nodules ◽  
Meta Analysis ◽  
Preoperative Assessment ◽  
Gene Expression Classifier
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