Analysis of Risk Factors and Risk Prediction for Cervical Lymph Node Metastasis in Thyroid Papillary Carcinoma

Ultrasound indicators, C-TIRADS score combined with BRAF gene status, Tg and clinical indicators of patients have important value in predicting cervical CLNM and LLNM in PTC. The Nomogram prediction models constructed based on the above indicators can effectively predict the risk of LNM in PTC.

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Publication Details

Journal
Cancer Management and Research
Published
2024-11-01
DOI
https://doi.org/10.2147/cmar.s485708
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

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article

Analysis of Risk Factors and Risk Prediction for Cervical Lymph Node Metastasis in Thyroid Papillary Carcinoma

Zhongzhi Jia, Xiaoqin Li, Dandan Tian
3 citations
Cancer Management and Research
Radiomics and Machine Learning in Medical Imaging
1.21
article

Analysis of Risk Factors and Risk Prediction for Cervical Lymph Node Metastasis in Thyroid Papillary Carcinoma

Zhongzhi Jia, Xiaoqin Li, Dandan Tian
article en
3 citations

Abstract

Ultrasound indicators, C-TIRADS score combined with BRAF gene status, Tg and clinical indicators of patients have important value in predicting cervical CLNM and LLNM in PTC. The Nomogram prediction models constructed based on the above indicators can effectively predict the risk of LNM in PTC.

Cancer Management and ResearchVol. Volume 16
Changzhou No.2 People's Hospital (CN)
Government of Jiangsu Province
Good health and well-being
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.21
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