Performance of a Multigene Genomic Classifier in Thyroid Nodules With Indeterminate Cytology: A Prospective Blinded Multicenter Study
Approximately 20% of fine-needle aspirations (FNA) of thyroid nodules have indeterminate cytology, most frequently Bethesda category III or IV. Diagnostic surgeries can be avoided for these patients if the nodules are reliably diagnosed as benign without surgery.
Comparison of Postmarketing Findings vs the Initial Clinical Validation Findings of a Thyroid Nodule Gene Expression Classifier: A Systematic Review and Meta-analysis
In the United States, the most used molecular test for the evaluation of cytologically indeterminate thyroid nodules is the Afirma gene expression classifier (GEC).
Molecular Testing of Bethesda III/IV Thyroid Nodules: A Cost-Effectiveness Analysis
Molecular tests (MT) using gene expression and/or mutational analysis have been developed to reduce the need for diagnostic surgery for indeterminate (Bethesda III/IV) thyroid nodules. Prior cost effectiveness studies have shown mixed results but none have included the recent and more comprehensive versions of the 2 commonly utilized MT. The aim of this study is to compare the cost-effectiveness of diagnostic lobectomy (DL), the Afirma Gene Sequencing Classifier (GSC), and Thyroseq® Next-Generation Sequencing version 3 (TSv3).
Thyroid Cytology Smear Slides: An Untapped Resource for ThyroSeq® Testing
Molecular testing of thyroid nodules with indeterminate fine-needle aspiration (FNA) cytology is commonly used to guide patient management and is typically performed on freshly collected FNA samples. In this study, the authors evaluated the performance of the ThyroSeq® test in cytology smear slides.
Limitations of Detecting Genetic Variants from the RNA-Seq Data in Tissue and FNA Samples
Genetic profiling of resected tumor or biopsy samples is increasingly used for cancer diagnosis and selecting therapy for thyroid and other cancer types. Although mutations occur in cell DNA and are typically detected using DNA sequencing, recent attempts focused on detecting pathogenic variants from RNA. The aim of this study was to determine the completeness of capturing mutations using RNA sequencing in thyroid tissue and fineneedle aspiration (FNA) samples