Back to Search Start Over

Afirma Gene Sequencing Classifier Compared with Gene Expression Classifier in Indeterminate Thyroid Nodules

Authors :
Katie Roll
Mayumi Endo
Raheela Khawaja
Dena Tonkovich
Kyle Porter
Matthew D. Ringel
Jeanette Perlick
Fadi Nabhan
Irina Azaryan
Laura E. Ryan
Lawrence A. Shirley
Shumei Meng
John E. Phay
Jennifer A. Sipos
Source :
Thyroid
Publication Year :
2019
Publisher :
Mary Ann Liebert Inc, 2019.

Abstract

Background: The Afirma Gene Expression Classifier (GEC) has been used to further characterize cytologically indeterminate (cyto-I) thyroid nodules into either benign or suspicious categories. However, its relatively low positive predictive value (PPV) limited its use as a classifier for patients with suspicious results. The Afirma Gene Sequencing Classifier (GSC) was developed to improve PPV while maintaining a high negative predictive value (NPV), yet real-world assessment of its performance is lacking. Methods: We analyzed all patients who had cyto-I nodules and molecular testing with either GEC or GSC between 2011 and 2018 at a single academic medical center. Clinical information was obtained for 343 GEC-tested nodules and 164 GSC-tested nodules. Results: The GSC had a statistically significant higher benign call rate (76.2% vs. 48.1%, p

Details

ISSN :
15579077 and 10507256
Volume :
29
Database :
OpenAIRE
Journal :
Thyroid
Accession number :
edsair.doi.dedup.....ba2631d15481a57f6b8f8c49bc6108fe
Full Text :
https://doi.org/10.1089/thy.2018.0733