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| Autore: |
Trimboli Pierpaolo
|
| Titolo: |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS
|
| Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (212 p.) |
| Soggetto topico: | Clinical and internal medicine |
| Medicine and Nursing | |
| Soggetto non controllato: | artificial intelligence |
| benign thyroid nodules | |
| biopsy | |
| cancer | |
| classification system | |
| contrast-enhanced ultrasound (CEUS) | |
| deep learning | |
| diagnosis | |
| DTC | |
| DTC recurrences | |
| elastosonography | |
| fine-needle | |
| fine-needle aspiration | |
| fine-needle aspiration biopsy | |
| follicular lesion of unknown significance | |
| follicular neoplasm | |
| follicular thyroid cancer | |
| follow-up | |
| long term | |
| machine learning | |
| medical imaging | |
| n/a | |
| neck ultrasound | |
| neoplasm metastasis | |
| nodule | |
| non-autonomously functioning | |
| paediatrics | |
| papillary thyroid cancer | |
| papillary thyroid carcinoma | |
| pediatric thyroid nodules | |
| prediction | |
| PTMC | |
| radiofrequency ablation | |
| radiomics | |
| radiotherapy | |
| regrowth | |
| RFA | |
| risk assessment | |
| risk of malignancy (ROM) | |
| risk stratification | |
| scintigraphy | |
| thyroglobulin | |
| thyroid | |
| thyroid cancer | |
| thyroid imaging reporting and data systems (TIRADS) | |
| Thyroid Imaging Reporting and Data Systems (TIRADS) | |
| thyroid neoplasm | |
| thyroid nodule | |
| thyroid nodules | |
| TI-RADS | |
| TIRAD | |
| TIRADS | |
| ultrasonography | |
| ultrasound | |
| ultrasound classification system | |
| US-guided minimally invasive techniques | |
| Persona (resp. second.): | TrimboliPierpaolo |
| Sommario/riassunto: | 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. |
| Altri titoli varianti: | Risk Stratification of Thyroid Nodule |
| Titolo autorizzato: | Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910566457803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |