Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS

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...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
DTC
n/a
RFA
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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520 |a 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. 
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650 7 |a Clinical and internal medicine  |2 bicssc 
650 7 |a Medicine and Nursing  |2 bicssc 
653 |a artificial intelligence 
653 |a benign thyroid nodules 
653 |a biopsy 
653 |a cancer 
653 |a classification system 
653 |a contrast-enhanced ultrasound (CEUS) 
653 |a deep learning 
653 |a diagnosis 
653 |a DTC 
653 |a DTC recurrences 
653 |a elastosonography 
653 |a fine-needle 
653 |a fine-needle aspiration 
653 |a fine-needle aspiration biopsy 
653 |a follicular lesion of unknown significance 
653 |a follicular neoplasm 
653 |a follicular thyroid cancer 
653 |a follow-up 
653 |a long term 
653 |a machine learning 
653 |a medical imaging 
653 |a n/a 
653 |a neck ultrasound 
653 |a neoplasm metastasis 
653 |a nodule 
653 |a non-autonomously functioning 
653 |a paediatrics 
653 |a papillary thyroid cancer 
653 |a papillary thyroid carcinoma 
653 |a pediatric thyroid nodules 
653 |a prediction 
653 |a PTMC 
653 |a radiofrequency ablation 
653 |a radiomics 
653 |a radiotherapy 
653 |a regrowth 
653 |a RFA 
653 |a risk assessment 
653 |a risk of malignancy (ROM) 
653 |a risk stratification 
653 |a scintigraphy 
653 |a thyroglobulin 
653 |a thyroid 
653 |a thyroid cancer 
653 |a thyroid imaging reporting and data systems (TIRADS) 
653 |a Thyroid Imaging Reporting and Data Systems (TIRADS) 
653 |a thyroid neoplasm 
653 |a thyroid nodule 
653 |a thyroid nodules 
653 |a TI-RADS 
653 |a TIRAD 
653 |a TIRADS 
653 |a ultrasonography 
653 |a ultrasound 
653 |a ultrasound classification system 
653 |a US-guided minimally invasive techniques 
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