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Semantic Scholar Open Access 2018 338 sitasi

Analytical performance of the ThyroSeq v3 genomic classifier for cancer diagnosis in thyroid nodules

M. Nikiforova S. Mercurio Abigail I. Wald Michelle Barbi de Moura Keith M Callenberg +5 lainnya
Lihat Sumber DOI

Abstrak

Molecular tests have clinical utility for thyroid nodules with indeterminate fine‐needle aspiration (FNA) cytology, although their performance requires further improvement. This study evaluated the analytical performance of the newly created ThyroSeq v3 test.

Topik & Kata Kunci

Medicine

Penulis (10)

M

M. Nikiforova

S

S. Mercurio

A

Abigail I. Wald

M

Michelle Barbi de Moura

K

Keith M Callenberg

L

Lucas Santana-Santos

W

W. Gooding

L

L. Yip

R

R. Ferris

Y

Y. Nikiforov

Format Sitasi

APA MLA BibTeX
Nikiforova, M., Mercurio, S., Wald, A.I., Moura, M.B.d., Callenberg, K.M., Santana-Santos, L. et al. (2018). Analytical performance of the ThyroSeq v3 genomic classifier for cancer diagnosis in thyroid nodules. https://doi.org/10.1002/cncr.31245

Akses Cepat

Lihat di Sumber doi.org/10.1002/cncr.31245
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
338×
Sumber Database
Semantic Scholar
DOI
10.1002/cncr.31245
Akses
Open Access ✓