01361nam 2200385 450 991043724770332120230414141427.01-7281-4644-5(CKB)5590000000429219(NjHacI)995590000000429219(EXLCZ)99559000000042921920230414d2019 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) /Institute of Electrical and Electronics Engineers (IEEE)Piscataway, New Jersey :Institute of Electrical and Electronics Engineers (IEEE),2019.1 online resource (various pagings) illustrations1-7281-4645-3 2019 3rd International Conference on Data Science and Business Analytics Conference papers and proceedingsBig dataCongressesData miningConference papers and proceedings.Big dataData mining.005.7NjHacINjHaclPROCEEDING99104372477033212019 3rd International Conference on Data Science and Business Analytics (ICDSBA)2518007UNINA04089nam 2201045z- 450 991056645780332120220506(CKB)5680000000037803(oapen)https://directory.doabooks.org/handle/20.500.12854/80956(oapen)doab80956(EXLCZ)99568000000003780320202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRisk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADSBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (212 p.)3-0365-3760-0 3-0365-3759-7 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.Risk Stratification of Thyroid NoduleClinical and internal medicinebicsscMedicine and Nursingbicsscartificial intelligencebenign thyroid nodulesbiopsycancerclassification systemcontrast-enhanced ultrasound (CEUS)deep learningdiagnosisDTCDTC recurrenceselastosonographyfine-needlefine-needle aspirationfine-needle aspiration biopsyfollicular lesion of unknown significancefollicular neoplasmfollicular thyroid cancerfollow-uplong termmachine learningmedical imagingn/aneck ultrasoundneoplasm metastasisnodulenon-autonomously functioningpaediatricspapillary thyroid cancerpapillary thyroid carcinomapediatric thyroid nodulespredictionPTMCradiofrequency ablationradiomicsradiotherapyregrowthRFArisk assessmentrisk of malignancy (ROM)risk stratificationscintigraphythyroglobulinthyroidthyroid cancerthyroid imaging reporting and data systems (TIRADS)Thyroid Imaging Reporting and Data Systems (TIRADS)thyroid neoplasmthyroid nodulethyroid nodulesTI-RADSTIRADTIRADSultrasonographyultrasoundultrasound classification systemUS-guided minimally invasive techniquesClinical and internal medicineMedicine and NursingTrimboli Pierpaoloedt1326286Trimboli PierpaoloothBOOK9910566457803321Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS3037266UNINA