Thyroid nodule evaluation and management in older adults: a review of practical considerations for clinical endocrinologists
NS Ospina, M Papaleontiou - Endocrine Practice, 2021 - Elsevier
Objective Contextualizing the evaluation of older adults with thyroid nodules is necessary to
fully understand which management strategy is the most appropriate. Our goal was to …
fully understand which management strategy is the most appropriate. Our goal was to …
The future of thyroid nodule risk stratification
N Burgos, NS Ospina, JA Sipos - … and Metabolism Clinics, 2022 - endo.theclinics.com
Over the last 2 decades, the use of sonographic risk stratification systems (SRSS) has
become an integral part in the evaluation of patients with thyroid nodules. 1–4 The aim of …
become an integral part in the evaluation of patients with thyroid nodules. 1–4 The aim of …
A comparative analysis of two machine learning-based diagnostic patterns with thyroid imaging reporting and data system for thyroid nodules: diagnostic performance …
CK Zhao, TT Ren, YF Yin, H Shi, HX Wang, BY Zhou… - Thyroid, 2021 - liebertpub.com
Background: The risk stratification system of the American College of Radiology Thyroid
Imaging Reporting and Data System (ACR TI-RADS) for thyroid nodules is affected by low …
Imaging Reporting and Data System (ACR TI-RADS) for thyroid nodules is affected by low …
Ultrasound image classification of thyroid nodules using machine learning techniques
VV Vadhiraj, A Simpkin, J O'Connell, N Singh Ospina… - Medicina, 2021 - mdpi.com
Background and Objectives: Thyroid nodules are lumps of solid or liquid-filled tumors that
form inside the thyroid gland, which can be malignant or benign. Our aim was to test whether …
form inside the thyroid gland, which can be malignant or benign. Our aim was to test whether …
Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data
Objective To develop a deep learning–based method with information fusion of US images
and RF signals for better classification of thyroid nodules (TNs). Methods One hundred sixty …
and RF signals for better classification of thyroid nodules (TNs). Methods One hundred sixty …
Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
Y Lin, S Lai, P Wang, J Li, Z Chen, L Wang, H Guan… - European …, 2022 - Springer
Objectives To investigate the ability of the currently used ultrasound-based malignancy risk
stratification systems for thyroid neoplasms (ATA, AACE/ACE/AME, K-TIRADS, EU-TIRADS …
stratification systems for thyroid neoplasms (ATA, AACE/ACE/AME, K-TIRADS, EU-TIRADS …
Genetic trio of BRAF and TERT alterations and rs2853669TT in papillary thyroid cancer aggressiveness
Abstract Background BRAF V600E and TERT promoter alterations are core components in
current genetics-based risk assessment for precision management of papillary thyroid …
current genetics-based risk assessment for precision management of papillary thyroid …
Stratification of follicular thyroid tumours using data‐independent acquisition proteomics and a comprehensive thyroid tissue spectral library
Thyroid nodules occur in about 60% of the population. A major challenge in thyroid nodule
diagnosis is to distinguish between follicular adenoma (FA) and carcinoma (FTC). Here, we …
diagnosis is to distinguish between follicular adenoma (FA) and carcinoma (FTC). Here, we …
Artificial intelligence–based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT
C Wang, P Yu, H Zhang, X Han, Z Song, G Zheng… - European …, 2023 - Springer
Objectives To develop an artificial intelligence (AI) system for predicting cervical lymph node
metastasis (CLNM) preoperatively in patients with papillary thyroid cancer (PTC) based on …
metastasis (CLNM) preoperatively in patients with papillary thyroid cancer (PTC) based on …
A supervised case-based reasoning approach for explainable thyroid nodule diagnosis
C Xu, W Liu, Y Chen, X Ding - Knowledge-Based Systems, 2022 - Elsevier
As an explainable experience-based artificial intelligence technique, case-based reasoning
(CBR) has been widely used to help diagnose many diseases, but the application of CBR in …
(CBR) has been widely used to help diagnose many diseases, but the application of CBR in …