TY - JOUR
T1 - Use of the Afirma® gene expression classifier for preoperative identification of benign thyroid nodules with indeterminate fine needle aspiration cytopathology
AU - Ali, Syed Z.
AU - Fish, Stephanie A.
AU - Lanman, Richard
AU - Randolph, Gregory W.
AU - Sosa, Julie Ann
PY - 2013
Y1 - 2013
N2 - Ruling out malignancy in thyroid nodules historically depended on thyroid resection and histopathological evaluation until fine needle aspiration (FNA) biopsy was introduced into the United States in the 1970's. Thyroid FNA biopsy identified a majority of thyroid nodules as benign, obviating the need for surgery in over half of the patients. However, 15%-30% of thyroid FNAs have indeterminate cytology that still requires operation, even though most of these operated nodules prove to be benign post-operatively. In order to predict which cytologically indeterminate thyroid nodules are benign and to potentially avoid surgery on these nodules, a recently described commercially available Gene Expression Classifier (GEC) test (Afirma®, Veracyte, Inc., South San Francisco, CA) has been developed that can be run on the FNA sample. This paper reviews the published literature and technology assessments/guidelines by independent parties and professional groups regarding the clinical utility as well as the analytic and clinical validity of the Afirma GEC.
AB - Ruling out malignancy in thyroid nodules historically depended on thyroid resection and histopathological evaluation until fine needle aspiration (FNA) biopsy was introduced into the United States in the 1970's. Thyroid FNA biopsy identified a majority of thyroid nodules as benign, obviating the need for surgery in over half of the patients. However, 15%-30% of thyroid FNAs have indeterminate cytology that still requires operation, even though most of these operated nodules prove to be benign post-operatively. In order to predict which cytologically indeterminate thyroid nodules are benign and to potentially avoid surgery on these nodules, a recently described commercially available Gene Expression Classifier (GEC) test (Afirma®, Veracyte, Inc., South San Francisco, CA) has been developed that can be run on the FNA sample. This paper reviews the published literature and technology assessments/guidelines by independent parties and professional groups regarding the clinical utility as well as the analytic and clinical validity of the Afirma GEC.
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U2 - 10.1371/currents.eogt.e557cbb5c7e4f66568ce582a373057e7
DO - 10.1371/currents.eogt.e557cbb5c7e4f66568ce582a373057e7
M3 - Review article
C2 - 23437421
AN - SCOPUS:84874131733
SP - 1
EP - 7
JO - PLoS Currents
JF - PLoS Currents
SN - 2157-3999
IS - FEB
M1 - ecurrents.eogt.e557cbb5c7e4f66568ce582a373057e7
ER -