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Comparison of 2D and 3D radiomics features with conventional features based on contrast-enhanced CT images for preoperative prediction the risk of thymic epithelial tumors Cover

Comparison of 2D and 3D radiomics features with conventional features based on contrast-enhanced CT images for preoperative prediction the risk of thymic epithelial tumors

Radiology and Oncology
Volume 59 (2025): Issue 1 (March 2025)
By: Yu-Hang Yuan,  Hui Zhang,  Wei-Ling Xu,  Dong Dong,  Pei-Hong Gao,  Cai-Juan Zhang,  Yan Guo,  Ling-Ling Tong and  Fang-Chao Gong  
Open Access
|Feb 2025

Authors

Yu-Hang Yuan

Department of Radiology, The First Hospital of Jilin University, Jilin, China

Hui Zhang

Department of Radiology, The First Hospital of Jilin University, Jilin, China

Wei-Ling Xu

Department of Radiology, The First Hospital of Jilin University, Jilin, China

Dong Dong

Department of Radiology, The First Hospital of Jilin University, Jilin, China

Pei-Hong Gao

Department of Radiology, The First Hospital of Jilin University, Jilin, China

Cai-Juan Zhang

Department of Radiology, The First Hospital of Jilin University, Jilin, China

Yan Guo

GE Healthcare, China

Ling-Ling Tong

Department of Pathology, The First Hospital of Jilin University, Jilin, China

Fang-Chao Gong

fangchao_gong@163.com

Department of Thoracic Surgery, The First Hospital of Jilin University, Jilin, China
DOI: https://doi.org/10.2478/raon-2025-0016 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
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Language: English
Page range: 69 - 78
Submitted on: Jul 31, 2024
|
Accepted on: Jan 27, 2025
|
Published on: Feb 27, 2025
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
thymic epithelial tumors,
radiomics,
computed tomography,
World Health Organization,
classification
Related subjects:
Medicine,
Clinical medicine,
Internal medicine,
Haematology, oncology,
Radiology

© 2025 Yu-Hang Yuan, Hui Zhang, Wei-Ling Xu, Dong Dong, Pei-Hong Gao, Cai-Juan Zhang, Yan Guo, Ling-Ling Tong, Fang-Chao Gong, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.

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