Evaluation of cervical lymph node metastasis in papillary thyroid carcinoma using Clinical-Ultrasound Radiomic Machine Learning-Based model

EA Agyekum, YZ Ren, X Wang, SS Cranston, YG Wang… - Cancers, 2022 - mdpi.com
Simple Summary Accurate preoperative cervical lymph node metastasis (CLNM) prediction
in papillary thyroid cancer (PTC) patients is essential for clinical treatment effectiveness …

Radiomics features from whole thyroid gland tissue for prediction of cervical lymph node metastasis in the patients with papillary thyroid carcinoma

S Lu, Y Ren, C Lu, X Qian, Y Liu, J Zhang… - Journal of Cancer …, 2023 - Springer
Objective We aimed to develop a clinical-radiomics nomogram that could predict the cervical
lymph node metastasis (CLNM) of patients with papillary thyroid carcinoma (PTC) using …

A comparative analysis of six machine learning models based on ultrasound to distinguish the possibility of central cervical lymph node metastasis in patients with …

Y Zou, Y Shi, J Liu, G Cui, Z Yang, M Liu… - Frontiers in …, 2021 - frontiersin.org
Current approaches to predict central cervical lymph node metastasis (CLNM) in patients
with papillary thyroid carcinoma (PTC) have failed to identify patients who would benefit from …

[HTML][HTML] Preoperative prediction of lymph node metastasis in patients with papillary thyroid carcinoma by an artificial intelligence algorithm

E Xia, Y Chi, L Jin, Y Shen, S Hirachan… - American Journal of …, 2021 - ncbi.nlm.nih.gov
Background: It is necessary to identify patients at risk of developing lymph node metastasis
prior to papillary thyroid carcinoma (PTC) surgery. This can be challenging due to limiting …

Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma

W Lu, L Zhong, D Dong, M Fang, Q Dai, S Leng… - European journal of …, 2019 - Elsevier
Purpose Cervical lymph node (LN) metastasis of papillary thyroid carcinoma (PTC) is critical
for treatment and prognosis. We explored the feasibility of using radiomics to preoperatively …

[HTML][HTML] Developing and validating a multivariable machine learning model for the preoperative prediction of lateral lymph node metastasis of papillary thyroid cancer

J Huang, Z Li, Q Zhong, J Fang, X Chen, Y Zhang… - Gland …, 2023 - ncbi.nlm.nih.gov
Background At present, preoperative diagnosis of lateral cervical lymph node metastasis
(LLNM) in patients with papillary thyroid carcinoma (PTC) mostly depends on the training …

Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer

S Lai, Y Fan, Y Zhu, F Zhang, Z Guo, B Wang… - Frontiers in …, 2022 - frontiersin.org
Objective To develop a web-based machine learning server to predict lateral lymph node
metastasis (LLNM) in papillary thyroid cancer (PTC) patients. Methods Clinical data for PTC …

Preoperative prediction of cervical lymph node metastasis in papillary thyroid carcinoma via conventional and contrast‐enhanced ultrasound

L Tao, W Zhou, W Zhan, W Li… - Journal of Ultrasound in …, 2020 - Wiley Online Library
Objectives To investigate the independent risk factors for cervical lymph node metastasis
(CLNM) in patients with papillary thyroid carcinoma (PTC) and establish a prediction model …

Magnetic resonance imaging (MRI) radiomics of papillary thyroid cancer (PTC): A comparison of predictive performance of multiple classifiers modeling to identify …

H Qin, Q Que, P Lin, X Li, X Wang, Y He, J Chen… - La radiologia …, 2021 - Springer
Purpose To compare predictive efficiency of multiple classifiers modeling and establish a
combined magnetic resonance imaging (MRI) radiomics model for identifying lymph node …

Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images

T Wang, D Yan, Z Liu, L Xiao, C Liang, H Xin… - Frontiers in …, 2023 - frontiersin.org
Introduction The incidence of thyroid diseases has increased in recent years, and cervical
lymph node metastasis (LNM) is considered an important risk factor for locoregional …