Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS

• Andere auteurs: Trimboli, Pierpaolo (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Onderwerpen: Medicine; Clinical & internal medicine; n/a; 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...