CT Gray-Level Texture Analysis as a Quantitative Imaging Biomarker of Epidermal Growth Factor Receptor Mutation Status in Adenocarcinoma of the Lung-Reference-Cited by-同舟云学术

CT Gray-Level Texture Analysis as a Quantitative Imaging Biomarker of Epidermal Growth Factor Receptor Mutation Status in Adenocarcinoma of the Lung

Published:2015-11 Issue:5 Volume:205 Page:1016-1025
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Ozkan Efe,West Anna,Dedelow Jeffrey A.,Chu Benjamin F.,Zhao Weiqiang,Yildiz Vedat O.,Otterson Gregory A.,Shilo Konstantin,Ghosh Subha,King Mark,White Richard D.,Erdal Barbaros S.

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference37 articles.

1. EGFR-Targeted Therapy for Non-Small Cell Lung Cancer: Focus on EGFR Oncogenic Mutation

2. Pharmacogenetics of EGFR in lung cancer: perspectives and clinical applications

3. Molecular Predictors of Response to Epidermal Growth Factor Receptor Antagonists in Non–Small-Cell Lung Cancer

4. Exon 19 Deletion Mutations of Epidermal Growth Factor Receptor Are Associated with Prolonged Survival in Non–Small Cell Lung Cancer Patients Treated with Gefitinib or Erlotinib

5. Better survival with EGFR exon 19 than exon 21 mutations in gefitinib-treated non-small cell lung cancer patients is due to differential inhibition of downstream signals

Cited by 69 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. Prediction of epidermal growth factor receptor mutation status by textural features in stage IV lung adenocarcinoma;memo - Magazine of European Medical Oncology;2024-02-28

2. EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC;Journal of Imaging Informatics in Medicine;2024-02-15

3. Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas;Yonsei Medical Journal;2024

4. Radiomics Based on Contrast-Enhanced CT for Recognizing c-Met-Positive Hepatocellular Carcinoma: a Noninvasive Approach to Predict the Outcome of Sorafenib Resistance;Molecular Imaging and Biology;2023-11-06

5. Predicting EGFR Mutation Status Using Multi-View Transformer;2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC);2023-10-20