Reprint

Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS

Edited by
April 2022
212 pages
  • ISBN978-3-0365-3760-3 (Hardback)
  • ISBN978-3-0365-3759-7 (PDF)

This book is a reprint of the Special Issue Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS that was published in

Biology & Life Sciences
Medicine & Pharmacology
Summary

Since the 1990s, ultrasound (US) has played a major role in the assessment of thyroid nodules and their risk of malignancy. Over the last decade, the most eminent international societies have published US-based systems for the risk stratification of thyroid lesions, namely, Thyroid Imaging Reporting And Data Systems (TIRADSs). The introduction of TIRADSs into clinical practice has significantly increased the diagnostic power of US to a level approaching that of fine-needle aspiration cytology (FNAC). At present, we are probably approaching a new era in which US could be the primary tool to diagnose thyroid cancer. However, before using US in this new dominant role, we need further proof. This Special Issue, which includes reviews and original articles, aims to pave the way for the future in the field of thyroid US. Highly experienced thyroidologists focused on US are asked to contribute to achieve this goal.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
n/a; thyroid; ultrasonography; follicular neoplasm; follicular lesion of unknown significance; follicular thyroid cancer; papillary thyroid carcinoma; neoplasm metastasis; ultrasonography; biopsy; fine-needle; thyroglobulin; US-guided minimally invasive techniques; radiofrequency ablation; RFA; benign thyroid nodules; thyroid cancer; DTC recurrences; PTMC; long term; follow-up; regrowth; thyroid; classification system; follicular neoplasm; ultrasound classification system; TIRAD; thyroid; nodule; risk stratification; TI-RADS; fine-needle aspiration; thyroid; cancer; nodule; ultrasound; scintigraphy; non-autonomously functioning; thyroid imaging reporting and data systems (TIRADS); risk of malignancy (ROM); thyroid nodules; paediatrics; radiotherapy; risk assessment; ultrasonography; DTC; thyroid neoplasm; medical imaging; artificial intelligence; machine learning; deep learning; radiomics; prediction; diagnosis; thyroid; nodule; cancer; ultrasound; Thyroid Imaging Reporting and Data Systems (TIRADS); pediatric thyroid nodules; neck ultrasound; contrast-enhanced ultrasound (CEUS); thyroid nodules; thyroid cancer; papillary thyroid cancer; follicular thyroid cancer; TIRADS; thyroid nodule; ultrasound; fine-needle aspiration biopsy; thyroid nodule; thyroid cancer; ultrasonography; elastosonography; fine-needle aspiration; n/a