Performance of a Genomic Sequencing Classifier for the Preoperative Diagnosis of Cytologically Indeterminate Thyroid Nodules | Zendy

Kepal N. Patel | Zendy; Trevor E. Angell | Zendy; Joshua Babiarz | Zendy; Neil M. Barth | Zendy; Thomas Blevins | Zendy; QuanYang Duh | Zendy; Ronald Ghossein | Zendy; R. Mack Harrell | Zendy; Jing Huang | Zendy; Giulia C. Kennedy | Zendy; Su Yeon Kim | Zendy; Richard T. Kloos | Zendy; Virginia A. LiVolsi | Zendy; Gregory W. Randolph | Zendy; Peter M. Sadow | Zendy; Michael Shanik | Zendy; Julie Ann Sosa | Zendy; S. Thomas Traweek | Zendy; P. Sean Walsh | Zendy; Duncan Whitney | Zendy; Michael W. Yeh | Zendy; Paul W. Ladenson | Zendy

Open Access

Performance of a Genomic Sequencing Classifier for the Preoperative Diagnosis of Cytologically Indeterminate Thyroid Nodules

Author(s) -

Kepal N. Patel,

Trevor E. Angell,

Joshua Babiarz,

Neil M. Barth,

Thomas Blevins,

QuanYang Duh,

Ronald Ghossein,

R. Mack Harrell,

Jing Huang,

Giulia C. Kennedy,

Su Yeon Kim,

Richard T. Kloos,

Virginia A. LiVolsi,

Gregory W. Randolph,

Peter M. Sadow,

Michael Shanik,

Julie Ann Sosa,

S. Thomas Traweek,

P. Sean Walsh,

Duncan Whitney,

Michael W. Yeh,

Paul W. Ladenson

Publication year - 2018

Publication title -

jama surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.757

H-Index - 176

eISSN - 2168-6262

pISSN - 2168-6254

DOI - 10.1001/jamasurg.2018.1153

Subject(s) - medicine , indeterminate , thyroid nodules , thyroid , biopsy , histopathology , pathology , malignancy , cytopathology , radiology , cytology , mathematics , pure mathematics

Use of next-generation sequencing of RNA and machine learning algorithms can classify the risk of malignancy in cytologically indeterminate thyroid nodules to limit unnecessary diagnostic surgery.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research