Multiphase Dual-Energy Spectral CT-Based Deep Learning Method for the Noninvasive Prediction of Head and Neck Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer

Multiphase Dual-Energy Spectral CT-Based Deep Learning Method for the Noninvasive Prediction of Head and Neck Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer

PurposeTo develop deep learning (DL) models based on multiphase dual-energy spectral CT for predicting lymph nodes metastasis preoperatively and noninvasively in papillary thyroid cancer patients.MethodsA total of 293 lymph nodes from 78 papillary thyroid cancer patients who underwent dual-energy sp...

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Bibliographic Details
Main Authors: Dan Jin, Xiaoqiong Ni, Xiaodong Zhang, Hongkun Yin, Huiling Zhang, Liang Xu, Rui Wang, Guohua Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Oncology
Subjects:
thyroid cancer
dual-energy CT (DECT)
lymph nodes metastasis
multiphase
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.869895/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.869895/full

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