A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma-Reference-Cited by-同舟云学术

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A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma

Published:2023-07 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Zheng Ying-mei,Pang Jing,Liu Zong-jing,Yuan Ming-gang,Li Jie,Wu Zeng-jie,Jiang Yan,Dong Cheng^ORCID

Funder

Medical and Health Science and Technology Development Project of Shandong Province

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference27 articles.

1. The molecular biology of head and neck cancer;Leemans;Nat Rev Cancer,2011

2. The ErbB/HER family of protein-tyrosine kinases and cancer;Roskoski;Pharmacol Res,2014

3. EGFR in head and neck squamous cell carcinoma: exploring possibilities of novel drug combinations;Rehmani;Ann Transl Med,2020

4. EGFR mutations in head and neck squamous cell carcinoma;Nair;Int J Mol Sci,2022

5. Novel insights of anti-EGFR therapy in HNSCC: combined with immunotherapy or not?;Dong;Curr Oncol Rep,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Radiomics Approach to Identify Immunologically Active Tumor in Patients with Head and Neck Squamous Cell Carcinomas;Cancers;2023-11-11

2. Machine Learning-Based MRI Radiogenomics for Evaluation of Response to Induction Chemotherapy in Head and Neck Squamous Cell Carcinoma;Academic Radiology;2023-11

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