Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma

Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma

Purpose: While there are no clear indications of whether central lymph node dissection is necessary in patients with T1-T2, non-invasive, clinically uninvolved central neck lymph nodes papillary thyroid carcinoma (PTC), this study seeks to develop and validate models for predicting the risk of centr...

Full description

Bibliographic Details
Main Authors: Jiang Zhu, Jinxin Zheng, Longfei Li, Rui Huang, Haoyu Ren, Denghui Wang, Zhijun Dai, Xinliang Su
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Medicine
Subjects:
papillary thyroid carcinoma
central lymph node metastasis
machine learning algorithms
lymph node dissections
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.635771/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.635771/full

Similar Items