Evaluation of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Clinical-Ultrasound Radiomic Machine Learning-Based Model

Evaluation of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Clinical-Ultrasound Radiomic Machine Learning-Based Model

We aim to develop a clinical-ultrasound radiomic (USR) model based on USR features and clinical factors for the evaluation of cervical lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC). This retrospective study used routine clinical and US data from 205 PTC patients. Ac...

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Bibliographic Details
Main Authors: Enock Adjei Agyekum, Yong-Zhen Ren, Xian Wang, Sashana Sashakay Cranston, Yu-Guo Wang, Jun Wang, Debora Akortia, Fei-Ju Xu, Leticia Gomashie, Qing Zhang, Dongmei Zhang, Xiaoqin Qian
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Cancers
Subjects:
ultrasound radiomics
papillary thyroid carcinoma
cervical lymph node metastasis
thyroid neoplasms
machine learning
Online Access:https://www.mdpi.com/2072-6694/14/21/5266

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https://www.mdpi.com/2072-6694/14/21/5266

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