Predictive radiogenomics modeling of EGFR mutation status in lung cancer

Gevaert, Olivier, Echegaray, Sebastian, Khuong, Amanda, Hoang, Chuong D., Shrager, Joseph B., Jensen, Kirstin C., Berry, Gerald J., Guo, H. Henry +5 more·2017·Scientific Reports

Cited by (161)

Items 101–161 of 161

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    Jairo Socarras Fernandez, David Mönnich, Sara Leibfarth, Stefan Welz, Alex Zwanenburg, Stefan Leger, Steffen Löck, Christina Pfannenberg, Christian Jean la Fougère, Gerald Reischl et al. · 2020 · Physics and Imaging in Radiation Oncology
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    Thomas C. Larsen, Vissagan Gopalakrishnan, Jianhua Yao, Catherine P. Nguyen, Marcus Y. Chen, Joel Moss, Han Wen · 2018 · Journal of Applied Clinical Medical Physics
  13. Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer
    Liye Jia, Wei Qiang Wu, Guojie Hou, Juanjuan Zhao, Yan Qiang, Yanan Zhang, Meiling Cai · 2023 · Multimedia Tools and Applications
  14. Improved Prediction of Epidermal Growth Factor Receptor Status by Combined Radiomics of Primary Nonsmall-Cell Lung Cancer and Distant Metastasis
    Yue Hu, Yikang Geng, Huan Wang, Huanhuan Chen, Zekun Wang, Langyuan Fu, Bo Huang, Wenyan Jiang · 2024 · Journal of Computer Assisted Tomography
  15. Auxiliary variable–enriched biomarker‐stratified design
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  18. Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encoders
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  19. Development and validation of a multivariable predictive model for EGFR gene mutation status in patients with lung adenocarcinoma
    Yiping Shi, Qiongfang Zha, Qing Ye, Shan Xue, Huawei Wu, Daoqiang Tang, Hui Qin, Jing Zou · 2021 · Neoplasma
  20. Key Targets and Molecular Mechanisms of the Fat-soluble Components of Ginseng for Lung Cancer Treatment
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    Bruno Hochhegger, Romulo Pasini, Alysson Roncally Carvalho, Rosana Souza Rodrigues, Stephan Altmayer, Leonardo Kayat Bittencourt, Edson dos Santos Marchiori, Reza Forghani · 2023 · Seminars in Roentgenology
  22. Detection of the gene mutation of epidermal growth factor receptor in lung adenocarcinoma by radiomic features from a small amount of PET data
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  23. Cancer Genotypes Prediction and Associations Analysis From Imaging Phenotypes: A Survey on Radiogenomics
    Yao Wang, Yan Wang, Chunjie Guo, Xuping Xie, Sen Liang, Ruochi Zhang, Wei Pang, Lan Huang · 2020 · Biomarkers in Medicine
  24. Oncogene-driven lung cancer in the era of radiogenomics: current evidence and future developments
    James Ryan, John Kavanagh, Niamh Coleman · 2025 · Discover Oncology
  25. Radiogenomics: Lung Cancer-Related Genes Mutation Status Prediction
    Catarina Dias, Gil Pinheiro, António Manuel Trigueiros da Silva Cunha, Hélder P. Oliveira · 2019 · Lecture notes in computer science
  26. Can radiomics in brain magnetic resonance imaging predict the mutational status of primary lung cancer based on brain metastasis?
    Beyza Nur Kuzan, Can Ilgın, Gonca Gul Gecmen, Naciye Isık, Hediye Pınar Günbey, Murat Emeç · 2025 · Polish Journal of Radiology
  27. Advances in artificial intelligence-based radiogenomics for lung cancer precision medicine
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  28. Tumor‐liver interface in MRI of liver metastasis enables prediction of EGFR mutation in patients with lung cancer: A proof‐of‐concept study
    Shaoping Hou, Hongbo Wang, Xiaoyu Wang, Huanhuan Chen, Boyu Zhou, Ruiqing Meng, Xianzheng Sha, Shijie Chang, Huan Wang, Wenyan Jiang · 2023 · Medical Physics
  29. Radiogenomics Map: A Novel Approach for Noninvasive Identification of Molecular Properties?
    Sizhe Chen, Zhenyuan Ning, Xiaoshun He, Xiaolong Qi · 2017 · Radiology
  30. Clinical significance of epidermal growth factor receptor mutations in resected stage IA non-small cell lung cancer
    Yuan-Ming Tsai, Kuan‐Hsun Lin, Yen‐Shou Kuo, Yu‐Chieh Lin, Yu-Hsin Chien, Hsiu-Ping Chou, Ying-Yi Chen, Hsu-Kai Huang, Ti-Hui Wu, Hung Chang et al. · 2022 · Formosan Journal of Surgery
  31. An automatic end-to-end pipeline for CT image-based EGFR mutation status classification
    Lin Tian, Rong Yuan · 2019 · SPIE Medical Imaging: Image Processing
  32. On the way for the best imaging features from CT images to predict EGFR Mutation Status in Lung Cancer
    Pedro Silva, Tânia Pereira, Marco Teixeira, Francisco Silva, Hélder P. Oliveira · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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    Heather Marie Selby, Pritam Mukherjee, Christopher A. Parham, Sachin Basiq Malik, Olivier Gevaert, Sandy A. Napel, Rajesh P. Shah · 2023 · Journal of medical imaging
  35. Unusual presentation of ROS1 rearranged metastatic non-small cell lung cancer
    Lanyi Nora Chen, Claire L. Keating, Jay S. Leb, Anjali Saqi, Catherine A. Shu · 2024 · Respiratory Medicine Case Reports
  36. Quantitative Imaging Biomarkers in Lung Cancer: Current Trends and Future Directions
    Joice Prodigios, Ronak Kundalia, Amanda Acevedo, Jean Bontemps, David Pfaehler, Md Mahfuz Al Hasan, Kyle B. See, Nupur Verma, Daniela Reis Hochhegger, Alysson Roncally Carvalho et al. · 2025 · Seminars in Roentgenology
  37. Advances in Artificial Intelligence-Based Radiomultiomics for Assisting Cancer Diagnosis and Treatment
    Zhuoran Hou, Ziyi Zhao, Dehui Zhu, Min Pan, Ying Zhou, Qinyu Ge · 2025 · International Symposium on Intelligent Robotics and Systems (ISoIRS)
  38. Deep learning on brain metastasis for predicting EGFR genotype and EGFR-TKI therapy response in metastatic NSCLC: a multicenter study
    Shuailin You, Ying Fan, Zhiguang Yang, Chunna Yang, Yiyao Sun, Yahong Luo, Zekun Wang, Bo Sun, Wenyan Jiang · 2025 · Frontiers in Bioengineering and Biotechnology
  39. Radiopaque Recreations of Lung Pathologies From Clinical Computed Tomography Images Using Potassium Iodide Inkjet 3-dimensional Printing
    Jia Wang, Samuel R. Falkson, H. Henry Guo · 2021 · Journal of Thoracic Imaging
  40. Synthesizing 3D Lung CT scans with Generative Adversarial Networks
    Artur R Ferreira, Tânia Pereira, Francisco Silva, Ana Teresa Vilares, Miguel Correia da Silva, António Manuel Trigueiros da Silva Cunha, Hélder P. Oliveira · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  41. Pathological image profiling identifies onco‐microbial, tumor immune microenvironment, and prognostic subtypes of colorectal cancer
    Yuwen Chu, Shuo Zhang, Wei Wan, Jialiang Yang, Yumeng Zhang, Chuanqi Nie, Weipeng Xing, Shanhe Tong, Jinyang Liu, Geng Tian et al. · 2024 · Apmis
  42. In Non-Small Cell Lung Cancer, Can Radiomic Features Predict EGFR Mutations?
    Jiayan Liu, Lin Liu, Yue Ma, Kaiming Xue, Zhe Zhou, Mengchao Zhang · 2019 · IEEE International Conference on Mechatronics and Automation (ICMA)
  43. Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural network
    Yaojun Wang, Xinyu Hua, Yu Wang, Chunming Zhang, Dongbo Bu, Shiwei Sun, Xingce Wang · 2020 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  44. Imaging epigenetics and the radiogenomics
    Ádám Domonkos Tárnoki, Dávid László Tárnoki · 2021 · Elsevier eBooks
  45. Identifying transcription patterns of histology and radiomics features in NSCLC with neural networks
    Nova F. Smedley, Denise R. Aberle, William W.Y. Hsu · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  46. Radiomics meets pathology: Building the bridge for precision oncology
    Vittorio Patanè, Maria Chiara Brunese, Luca Marinelli, Erika Martinelli, Valerio Nardone, Renato Franco, Salvatore Cappabianca, Alfonso Reginelli · 2026 · CytoJournal
  47. Next generation brain tumor image analysis
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  48. Association between epidermal growth factor receptor mutation status, clinicopathological characteristics and TTF-1 expression in lung adenocarcinoma: A single center study
    Dragana Tegeltija, Aleksandra Lovrenski, Tijana Vasiljević, Sinisa Maksimovic · 2020 · Srpski arhiv za celokupno lekarstvo
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  52. Genética: Molecular, humana e médica 3
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  53. O PAPEL DE SOCS3 EM DISTÚRBIOS METABÓLICOS NA HEPATITE C CRÔNICA: REVISÃO DA LITERATURA
    Thaís de Oliveira Consuli, Luísa Hoffmann · 2023
  54. Additional file 1 of Prediction of programmed cell death protein 1 in hepatocellular carcinoma patients using radiomics analysis with radiofrequency-based ultrasound multifeature maps
    Qingmin Wang, Yi Dong, Tianlei Xiao, Shiquan Zhang, Jinhua Yu, Leyin Li, Qi Zhang, Yuanyuan Wang, Yang Xiao, Wen‐Ping Wang · 2022 · Figshare
  55. Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders
    Yuping Peng, Xing Li Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang, Hongqiang Wang · 2024 · International Joint Conference on Neural Networks (IJCNN)
  56. Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary Study
    Toshiyuki T. Tanaka, Tomoki Motegi, Nanami Sumikawa, Misaki Mori, Shohei Kurokawa, Hideo Akiyoshi · 2025 · Veterinary Sciences
  57. Radiomics modeling to predict the tumor immune-microenvironment of mucinous adenocarcinoma of gastric-type cervical cancer
    Risa Matsuda, Kohei Oguma, Hiroshi Nishio, Yutaka Shiraishi, Masafumi Sawada, Maho Kurihara, Masaki Sugawara, Miyuki Saito, Tomoya Matsui, Takashi Iwata et al. · 2026 · Scientific Reports
  58. Applications of Artificial Intelligence in Quantitative Imaging
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  59. Radiogenomic landscape of the hallmarks of cancer
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  60. AI-driven diagnostic systems
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  61. Biomarker Integration in the Perioperative Management of Early-Stage Non-Small-Cell Lung Cancer
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