“The Best of AJR award recognizes one article in each section...
“The Best of AJR award recognizes one article in each section of the journal in the given year's print issues. The editorial board nominates articles in each section, and the ARRS Science and Innovation Committee selects the final recipients. Articles are chosen as “Best of AJR” on the basis of their novelty, impact, and quality. Congratulations to the recipients for 2023!”
Thyroid Nodules on Ultrasound in Children and Young Adults: Comparison of Diagnostic Performance of Radiologists' Impressions, ACR TI-RADS, and a Deep Learning Algorithm
Authors: Jichen Yang, BSE, Laura C. Page, MD, Lars Wagner, MD, Benjamin Wildman-Tobriner, MD, Logan Bisset, MD, Donald Frush, MD, and Maciej A. Mazurowski, PhD
"BACKGROUND. In current clinical practice, thyroid nodules in children are generally evaluated on the basis of radiologists' overall impressions of ultrasound images.
OBJECTIVE. The purpose of this article is to compare the diagnostic performance of radiologists' overall impression, the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS), and a deep learning algorithm in differentiating benign and malignant thyroid nodules on ultrasound in children and young adults."