Literature DB >> 28946821

Risk Stratification of Thyroid Nodules on Ultrasonography: Current Status and Perspectives.

Eun Ju Ha1, Jung Hwan Baek2, Dong Gyu Na3.   

Abstract

BACKGROUND: Two types of risk-stratification system-a qualitative grading system or a quantitative scoring system-have been used for the effective management of thyroid nodules on ultrasonography.
SUMMARY: The concept of the Thyroid Imaging Reporting and Data System (TI-RADS), based on the quantitative scoring system, was introduced in the late 2000s, and its format has been constantly evolving and developing. Understanding the role and appropriate utilization of risk-stratification systems including TI-RADS could facilitate the effective interpretation and communication of thyroid ultrasonography findings among referring physicians and cytopathologists.
CONCLUSION: This comprehensive review provides a developmental overview of the use of risk-stratification systems in thyroid nodules, including TI-RADS proposals, and describes the future developmental direction of TI-RADS for the personalized and optimized management of thyroid nodules.

Keywords:  Thyroid Imaging Reporting and Data System; fine-needle aspiration; thyroid cancer; thyroid nodules; ultrasonography

Mesh:

Year:  2017        PMID: 28946821     DOI: 10.1089/thy.2016.0654

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


  15 in total

1.  Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.

Authors:  Jeong Hoon Lee; Eun Ju Ha; Ju Han Kim
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

2.  Applications of machine learning and deep learning to thyroid imaging: where do we stand?

Authors:  Eun Ju Ha; Jung Hwan Baek
Journal:  Ultrasonography       Date:  2020-07-03

3.  Interobserver agreement and efficacy of consensus reading in Kwak-, EU-, and ACR-thyroid imaging recording and data systems and ATA guidelines for the ultrasound risk stratification of thyroid nodules.

Authors:  Philipp Seifert; Rainer Görges; Michael Zimny; Michael C Kreissl; Simone Schenke
Journal:  Endocrine       Date:  2019-11-18       Impact factor: 3.633

Review 4.  Evaluation of thyroid nodules by shear wave elastography: a review of current knowledge.

Authors:  K Z Swan; V E Nielsen; S J Bonnema
Journal:  J Endocrinol Invest       Date:  2021-04-16       Impact factor: 4.256

5.  Evaluation of the Diagnostic Performance of EU-TIRADS in Discriminating Benign from Malignant Thyroid Nodules: A Prospective Study in One Referral Center.

Authors:  Roussanka D Kovatcheva; Alexander D Shinkov; Inna D Dimitrova; Ralitsa B Ivanova; Kalin N Vidinov; Radina S Ivanova
Journal:  Eur Thyroid J       Date:  2020-05-18

6.  Reliability of a computer-aided system in the evaluation of indeterminate ultrasound images of thyroid nodules.

Authors:  J L Reverter; L Ferrer-Estopiñan; F Vázquez; S Ballesta; S Batule; A Perez-Montes de Oca; C Puig-Jové; M Puig-Domingo
Journal:  Eur Thyroid J       Date:  2022-01-01

7.  Ultrasonic elastography and conventional ultrasound in the diagnosis of thyroid micro-nodules.

Authors:  Jinming Wang; Wenbing Wei; Rui Guo
Journal:  Pak J Med Sci       Date:  2019 Nov-Dec       Impact factor: 1.088

8.  Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes.

Authors:  M Han; E J Ha; J H Park
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-24       Impact factor: 3.825

9.  Clinical diagnostic value of contrast-enhanced ultrasound and TI-RADS classification for benign and malignant thyroid tumors: One comparative cohort study.

Authors:  Yan Xu; Xiaojie Qi; Xia Zhao; Wenfeng Ren; Wei Ding
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.817

10.  Advanced Ultrasound Application - Impact on Presurgical Risk Stratification of the Thyroid Nodules.

Authors:  Dana Stoian; Viviana Ivan; Ioan Sporea; Varcus Florian; Ioana Mozos; Dan Navolan; Dragos Nemescu
Journal:  Ther Clin Risk Manag       Date:  2020-01-21       Impact factor: 2.423

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