Thyroid Cancer Detection in a Routine Clinical Setting: Performance of ACR TI-RADS, FNAC, and Molecular Testing in Prospective Cohort Study
Tereza Grimmichova,
Petra Pacesova,
Martin Hill,
Barbora Pekova,
Marketa Vankova,
Jitka Moravcova,
Jana Vrbikova,
Zdenek Novak,
Karolina Mastnikova,
Eliska Vaclavikova,
Josef Vcelak,
Bela Bendlova,
Jana Drozenova,
Vlasta Sykorova
Affiliations
Tereza Grimmichova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Petra Pacesova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Martin Hill
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Barbora Pekova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Marketa Vankova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Jitka Moravcova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Jana Vrbikova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Zdenek Novak
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Karolina Mastnikova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Eliska Vaclavikova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Josef Vcelak
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Bela Bendlova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
Jana Drozenova
Department of Pathology, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, Srobarova 1150/50, 10034 Prague, Czech Republic
Vlasta Sykorova
Institute of Endocrinology, Narodni 8, 11694 Prague, Czech Republic
The aim of our study was to address the potential for improvements in thyroid cancer detection in routine clinical settings using a clinical examination, the American College of Radiology Thyroid Imaging Reporting and Database System (ACR TI-RADS), and fine-needle aspiration cytology (FNAC) concurrently with molecular diagnostics. A prospective cohort study was performed on 178 patients. DNA from FNA samples was used for next-generation sequencing to identify mutations in the genes BRAF, HRAS, KRAS, NRAS, and TERT. RNA was used for real-time PCR to detect fusion genes. The strongest relevant positive predictors for malignancy were the presence of genetic mutations (p p p < 0.01). Overall, FNAC, ACR TI-RADS, and genetic testing reached a sensitivity of up to 96.1% and a specificity of 88.3%, with a diagnostic odds ratio (DOR) of 183.6. Sensitivity, specificity, and DOR decreased to 75.0%, 88.9%, and 24.0, respectively, for indeterminate (Bethesda III, IV) FNAC results. FNA molecular testing has substantial potential for thyroid malignancy detection and could lead to improvements in our approaches to patients. However, clinical examination, ACR TI-RADS, and FNAC remained relevant factors.