Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS

Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS

thyroid; ultrasonography; follicular neoplasm; follicular lesion of unknown significance; follicular thyroid cancer; papillary thyroid carcinoma; neoplasm metastasis; 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; classification system; ultrasound classification system; TIRAD; nodule; risk stratification; TI-RADS; fine-needle aspiration; cancer; ultrasound; scintigraphy; non-autonomously functioning; thyroid imaging reporting and data systems (TIRADS); risk of malignancy (ROM); thyroid nodules; paediatrics; radiotherapy; risk assessment; DTC; thyroid neoplasm; medical imaging; artificial intelligence; machine learning; deep learning; radiomics; prediction; diagnosis; Thyroid Imaging Reporting and Data Systems (TIRADS); pediatric thyroid nodules; neck ultrasound; contrast-enhanced ultrasound (CEUS); papillary thyroid cancer; TIRADS; thyroid nodule; fine-needle aspiration biopsy; elastosonography

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.

Trimboli, Pierpaolo (editor)

https://mdpi.com/books/pdfview/book/5294

MDPI - Multidisciplinary Digital Publishing Institute

Basel, 2022

Dwi Prihastuti

https://creativecommons.org/licenses/by/4.0/

Pdf

English

Textbooks

DOI
10.3390/books978-3-0365-3759-7