Login / Signup

Diagnostic Accuracy of Five Different Classification Systems for Thyroid Nodules: A Prospective, Comparative Study.

Umut Percem Orhan SoylemezNesrin Gunduz
Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2021)
The ACR TI-RADS was the most sensitive ultrasound risk stratification system for all nodules, while the Kwak TI-RADS was the most specific, ie, the most capable of excluding benign nodules based on the combined cytological and histopathological results. ATA and ACR-TIRADS were the most sensitive classification systems for nodules 1 to 3 cm in size. The ACR TI-RADS had higher sensitivity than the Bethesda classification system when compared according to the histopathological results.
Keyphrases
  • machine learning
  • deep learning
  • fine needle aspiration
  • magnetic resonance imaging
  • ultrasound guided
  • computed tomography
  • contrast enhanced ultrasound