TY - BOOK ID - 145348691 TI - Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Medicine KW - Clinical & internal medicine KW - thyroid KW - ultrasonography KW - follicular neoplasm KW - follicular lesion of unknown significance KW - follicular thyroid cancer KW - papillary thyroid carcinoma KW - neoplasm metastasis KW - biopsy KW - fine-needle KW - thyroglobulin KW - US-guided minimally invasive techniques KW - radiofrequency ablation KW - RFA KW - benign thyroid nodules KW - thyroid cancer KW - DTC recurrences KW - PTMC KW - long term KW - follow-up KW - regrowth KW - classification system KW - ultrasound classification system KW - TIRAD KW - nodule KW - risk stratification KW - TI-RADS KW - fine-needle aspiration KW - cancer KW - ultrasound KW - scintigraphy KW - non-autonomously functioning KW - thyroid imaging reporting and data systems (TIRADS) KW - risk of malignancy (ROM) KW - thyroid nodules KW - paediatrics KW - radiotherapy KW - risk assessment KW - DTC KW - thyroid neoplasm KW - medical imaging KW - artificial intelligence KW - machine learning KW - deep learning KW - radiomics KW - prediction KW - diagnosis KW - Thyroid Imaging Reporting and Data Systems (TIRADS) KW - pediatric thyroid nodules KW - neck ultrasound KW - contrast-enhanced ultrasound (CEUS) KW - papillary thyroid cancer KW - TIRADS KW - thyroid nodule KW - fine-needle aspiration biopsy KW - elastosonography KW - thyroid KW - ultrasonography KW - follicular neoplasm KW - follicular lesion of unknown significance KW - follicular thyroid cancer KW - papillary thyroid carcinoma KW - neoplasm metastasis KW - biopsy KW - fine-needle KW - thyroglobulin KW - US-guided minimally invasive techniques KW - radiofrequency ablation KW - RFA KW - benign thyroid nodules KW - thyroid cancer KW - DTC recurrences KW - PTMC KW - long term KW - follow-up KW - regrowth KW - classification system KW - ultrasound classification system KW - TIRAD KW - nodule KW - risk stratification KW - TI-RADS KW - fine-needle aspiration KW - cancer KW - ultrasound KW - scintigraphy KW - non-autonomously functioning KW - thyroid imaging reporting and data systems (TIRADS) KW - risk of malignancy (ROM) KW - thyroid nodules KW - paediatrics KW - radiotherapy KW - risk assessment KW - DTC KW - thyroid neoplasm KW - medical imaging KW - artificial intelligence KW - machine learning KW - deep learning KW - radiomics KW - prediction KW - diagnosis KW - Thyroid Imaging Reporting and Data Systems (TIRADS) KW - pediatric thyroid nodules KW - neck ultrasound KW - contrast-enhanced ultrasound (CEUS) KW - papillary thyroid cancer KW - TIRADS KW - thyroid nodule KW - fine-needle aspiration biopsy KW - elastosonography UR - https://www.unicat.be/uniCat?func=search&query=sysid:145348691 AB - 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. ER -