[HTML][HTML] The ultrasound risk stratification systems for thyroid nodule have been evaluated against papillary carcinoma. A meta-analysis

P Trimboli, M Castellana, A Piccardo… - Reviews in Endocrine …, 2021 - Springer
Thyroid imaging reporting and data systems (TIRADS) are used to stratify the malignancy
risk of thyroid nodule by ultrasound (US) examination. We conducted a meta-analysis to …

[HTML][HTML] The new era of TIRADSs to stratify the risk of malignancy of thyroid nodules: strengths, weaknesses and pitfalls

G Russ, P Trimboli, C Buffet - Cancers, 2021 - mdpi.com
Simple Summary The aim of this review is to provide the reader with a comprehensive
overview of thyroid imaging and reporting data systems used for thyroid nodules, so as to …

[HTML][HTML] Explore the diagnostic efficiency of Chinese Thyroid Imaging Reporting and Data Systems by comparing with the other four systems (ACR TI-RADS, Kwak …

Q Qi, A Zhou, S Guo, X Huang, S Chen, Y Li… - Frontiers in …, 2021 - frontiersin.org
Purpose To explore the characteristics of C-TIRADS by comparing it with ACR-TIRADS,
Kwak-TIRADS, KSThR-TIRADS and EU-TIRADS. Methods A total of 1096 nodules were …

Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance

VY Park, E Lee, HS Lee, HJ Kim, J Yoon, J Son… - European …, 2021 - Springer
Objectives To develop a radiomics score using ultrasound images to predict thyroid
malignancy and to investigate its potential as a complementary tool to improve the …

Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China

JQ Zhou, YY Song, WW Zhan, X Wei, S Zhang… - Endocrine, 2021 - Springer
Purpose To establish a practical and simplified Chinese thyroid imaging reporting and data
system (C-TIRADS) based on the Chinese patient database. Methods A total of 2141 thyroid …

[HTML][HTML] An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images

J Zhu, S Zhang, R Yu, Z Liu, H Gao, B Yue… - … Imaging in Medicine …, 2021 - ncbi.nlm.nih.gov
Background The aim of this study was to construct a deep convolutional neural network
(CNN) model for localization and diagnosis of thyroid nodules on ultrasound and evaluate …

[HTML][HTML] Diagnostic performance of US-based FNAB criteria of the 2020 Chinese guideline for malignant thyroid nodules: comparison with the 2017 American College …

H Zhu, Y Yang, S Wu, K Chen, H Luo… - Quantitative imaging in …, 2021 - ncbi.nlm.nih.gov
Background To investigate the diagnostic performance of the ultrasonography-based fine-
needle aspiration biopsy criteria of the Chinese Thyroid Imaging Reporting and Data System …

EU‐TIRADS‐Based Omission of Fine‐Needle Aspiration and Cytology from Thyroid Nodules Overlooks a Substantial Number of Follicular Thyroid Cancers

T Solymosi, L Hegedüs, M Bodor… - International Journal of …, 2021 - Wiley Online Library
Background. The classification of nodules by Thyroid Imaging Reporting and Data Systems
(TIRADS) is important in guiding management. Whether sensitivity in identifying thyroid …

[HTML][HTML] Diagnostic performance of ACR-TIRADS in differentiating benign from malignant thyroid nodules in patients undergoing fine-needle aspiration biopsy …

P Sharma, K Elfatairy, D Gandhi, H Sawhney… - … of Endocrinology and …, 2021 - jofem.org
Background: The purpose of this study was to retrospectively analyze the diagnostic
performance of different international guidelines to detect benign from malignant nodules …

Improving the diagnosis of AUS/FLUS thyroid nodules using an algorithm with combination of BRAF V600E mutation analysis and ultrasound pattern-based risk …

YF Zhou, YF Zhang, HJ Fu, WP Yang… - Clinical …, 2021 - content.iospress.com
PURPOSE: To propose a diagnostic algorithm for improving the diagnosis of atypia of
undetermined significance or follicular lesion of undetermined significance (AUS/FLUS) …