[HTML][HTML] 2021 Korean thyroid imaging reporting and data system and imaging-based management of thyroid nodules: Korean Society of Thyroid Radiology consensus …

EJ Ha, SR Chung, DG Na, HS Ahn… - Korean journal of …, 2021 - ncbi.nlm.nih.gov
Incidental thyroid nodules are commonly detected on ultrasonography (US). This has
contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last …

Thyroid ultrasound: diffuse and nodular disease

LF Alexander, NJ Patel, MP Caserta… - Radiologic …, 2020 - radiologic.theclinics.com
The normal thyroid gland lies in the anterior neck, superficial to the trachea, deep to the
strap muscles, and medial to the carotid arteries and jugular veins. The superficial location …

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

JH Lee, EJ Ha, JH Kim - European radiology, 2019 - Springer
Purpose To develop a deep learning–based computer-aided diagnosis (CAD) system for
use in the CT diagnosis of cervical lymph node metastasis (LNM) in patients with thyroid …

Diagnostic performance of ultrasound-based risk-stratification systems for thyroid nodules: comparison of the 2015 American Thyroid Association guidelines with the …

EJ Ha, DG Na, WJ Moon, YH Lee, N Choi - Thyroid, 2018 - liebertpub.com
Purpose: The aim of this study was to compare the diagnostic performance of ultrasound
(US)-based risk-stratification systems for thyroid nodules in the 2015 American Thyroid …

ACR TI-RADS: pitfalls, solutions, and future directions

RR Tappouni, JN Itri, TS McQueen, N Lalwani, JJ Ou - Radiographics, 2019 - pubs.rsna.org
The high prevalence of thyroid nodules combined with the generally indolent growth of
thyroid cancer present a challenge for optimal patient care. Risk classification models based …

Artificial intelligence model assisting thyroid nodule diagnosis and management: a multicenter diagnostic study

EJ Ha, JH Lee, DH Lee, J Moon, H Lee… - The Journal of …, 2024 - academic.oup.com
Context It is not clear how to integrate artificial intelligence (AI)-based models into diagnostic
workflows. Objective To develop and validate a deep-learning–based AI model (AI-Thyroid) …

[HTML][HTML] Thyroid ultrasound image classification using a convolutional neural network

YC Zhu, PF Jin, J Bao, Q Jiang… - Annals of translational …, 2021 - ncbi.nlm.nih.gov
Background Ultrasound (US) is widely used in the clinical diagnosis of thyroid nodules.
Artificial intelligence-powered US is becoming an important issue in the research …

Computer-aided diagnostic system for thyroid nodules on ultrasonography: diagnostic performance based on the thyroid imaging reporting and data system …

M Han, EJ Ha, JH Park - American Journal of …, 2021 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Artificial intelligence-based computer-aided diagnostic
systems have been introduced for thyroid cancer diagnosis. Our aim was to compare the …

Deep learning–based computer-aided diagnosis system for localization and diagnosis of metastatic lymph nodes on ultrasound: A pilot study

JH Lee, JH Baek, JH Kim, WH Shim, SR Chung… - Thyroid, 2018 - liebertpub.com
Background: The presence of metastatic lymph nodes is a prognostic indicator for patients
with thyroid carcinomas and is an important determinant of clinical decision making …

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

KZ Swan, VE Nielsen, SJ Bonnema - Journal of Endocrinological …, 2021 - Springer
Purpose Shear wave elastography (SWE), as a tool for diagnosing thyroid malignancy, has
gathered considerable attention during the past decade. Diverging results exist regarding …