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Ultrasound imaging in thyroid nodule diagnosis, therapy, and follow-up: Current status and future trends.

Tim BoersSicco J BraakNicole E T RikkenMichel VersluisSrirang Manohar
Published in: Journal of clinical ultrasound : JCU (2023)
Ultrasound, the primary imaging modality in thyroid nodule management, suffers from drawbacks including: high inter- and intra-observer variability, limited field-of-view and limited functional imaging. Developments in ultrasound technologies are taking place to overcome these limitations, including three-dimensional-Doppler, -elastography, -nodule characteristics-extraction, and novel machine-learning algorithms. For thyroid ablative treatments and biopsies, perioperative use of three-dimensional ultrasound opens a new field of research. This review provides an overview of the current and future applications of ultrasound, and discusses the potential of new developments and trends that may improve the diagnosis, therapy, and follow-up of thyroid nodules.
Keyphrases
  • machine learning
  • magnetic resonance imaging
  • ultrasound guided
  • high resolution
  • contrast enhanced ultrasound
  • deep learning
  • patients undergoing
  • stem cells
  • risk assessment
  • big data
  • mass spectrometry
  • blood flow