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A 10-Gene Classifier for Indeterminate Thyroid Nodules: Development and Multicenter Accuracy Study
Author(s) -
Hernán González,
José R W Martínez,
Sergio L. Vargas,
Antonieta Solar,
Loreto P. Véliz,
Francisco Cruz,
Tatiana Arias,
Soledad Loyola,
Eleonora Horvath,
Hernán Tala,
E Traipe,
Manuel Meneses,
Luis Marín,
Nelson Wohllk,
René Díaz,
Jesús Véliz,
Pedro Pineda,
Patricia Arroyo,
Natalia Mena,
Milagros Sierra Bracamonte,
Giovanna F. Miranda,
Elsa Bruce,
Soledad Urra
Publication year - 2017
Publication title -
thyroid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.918
H-Index - 142
eISSN - 1557-9077
pISSN - 1050-7256
DOI - 10.1089/thy.2017.0067
Subject(s) - indeterminate , thyroid nodules , classifier (uml) , thyroid , medicine , computational biology , artificial intelligence , computer science , biology , mathematics , pure mathematics
In most of the world, diagnostic surgery remains the most frequent approach for indeterminate thyroid cytology. Although several molecular tests are available for testing in centralized commercial laboratories in the United States, there are no available kits for local laboratory testing. The aim of this study was to develop a prototype in vitro diagnostic (IVD) gene classifier for the further characterization of nodules with an indeterminate thyroid cytology.

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