[HTML][HTML] 2020 Imaging guidelines for thyroid nodules and differentiated thyroid cancer: Korean Society of Thyroid Radiology

JY Lee, JH Baek, EJ Ha, JY Sung, JH Shin… - Korean journal of …, 2021 - ncbi.nlm.nih.gov
Imaging plays a key role in the diagnosis and characterization of thyroid diseases, and the
information provided by imaging studies is essential for management planning. A referral …

Radiomics in differentiated thyroid cancer and nodules: explorations, application, and limitations

Y Cao, X Zhong, W Diao, J Mu, Y Cheng, Z Jia - Cancers, 2021 - mdpi.com
Simple Summary Differentiated thyroid cancer (DTC) is the most common endocrine
malignancy with a high incidence rate in females. The COVID-19 epidemic posed an …

Second malignancies after radiation therapy: update on pathogenesis and cross-sectional imaging findings

L Khanna, SR Prasad, S Yedururi… - Radiographics, 2021 - pubs.rsna.org
A wide spectrum of second cancers occur as late complications of radiation therapy (RT)
used to treat various malignancies. In addition to the type and dose of radiation, lifestyle …

Nanomaterials: a promising multimodal theranostics platform for thyroid cancer

L Li, Z Wang, H Guo, Q Lin - Journal of Materials Chemistry B, 2023 - pubs.rsc.org
Thyroid cancer is the most prevalent malignant neoplasm of the cervical region and
endocrine system, characterized by a discernible upward trend in incidence over recent …

The progress of radiomics in thyroid nodules

XF Gao, X Ran, W Ding - Frontiers in Oncology, 2023 - frontiersin.org
Due to the development of Artificial Intelligence (AI), Machine Learning (ML), and the
improvement of medical imaging equipment, radiomics has become a popular research in …

Validation of ultrasound risk stratification systems for cervical lymph node metastasis in patients with thyroid cancer

JY Lee, RE Yoo, JH Rhim, KH Lee, KS Choi, I Hwang… - Cancers, 2022 - mdpi.com
Simple Summary Ultrasound (US) malignancy risk stratification systems (RSS) for cervical
lymph nodes (LNs) have not been fully established in patients with thyroid cancer. In this …

Updated WHO nomenclature of head and neck lesions and associated imaging findings

N Oren, A Vaysberg, DT Ginat - Insights into imaging, 2019 - Springer
This article reviews the imaging features of head and neck lesions with updated 2017 World
Health Organization (WHO) nomenclature. The major WHO changes include refined …

Prediction of immunohistochemistry of suspected thyroid nodules by use of machine learning–based radiomics

J Gu, J Zhu, Q Qiu, Y Wang, T Bai… - American Journal of …, 2019 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to develop and validate a radiomics model for
evaluating immunohistochemical characteristics in patients with suspected thyroid nodules …

A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images

H Zhao, C Liu, J Ye, L Chang, Q Xu, B Shi… - Endokrynologia …, 2021 - journals.viamedica.pl
Introduction: We designed 5 convolutional neural network (CNN) models and ensemble
models to differentiate malignant and benign thyroid nodules on CT, and compared the …

Imaging and imaging-based management of pediatric thyroid nodules

I Iakovou, E Giannoula, C Sachpekidis - Journal of clinical medicine, 2020 - mdpi.com
Thyroid nodules are less frequent in children than adults. Childhood thyroid nodules carry
specific features, including a higher risk of malignancy than nodules in adults, rendering …