Editorial for "Brain-Tumor Interface-Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR-TKI and T790M Resistance Mutation in Non-Small Cell Lung Carcinoma Brain Metastasis".

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “Brain-Tumor Interface-Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR-TKI and T790M Resistance Mutation in Non-Small Cell Lung Carcinoma Brain Metastasis” Qingfei Luo PhD, Corresponding Author Qingfei Luo PhD [email protected] orcid.org/0000-0001-5574-817X Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USASearch for more papers by this authorXiaohong Joe Zhou PhD, Xiaohong Joe Zhou PhD orcid.org/0000-0003-0793-4925 Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA Department of Radiology, University of Illinois at Chicago, Chicago, Illinois, USA Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USASearch for more papers by this author Qingfei Luo PhD, Corresponding Author Qingfei Luo PhD [email protected] orcid.org/0000-0001-5574-817X Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USASearch for more papers by this authorXiaohong Joe Zhou PhD, Xiaohong Joe Zhou PhD orcid.org/0000-0003-0793-4925 Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, Illinois, USA Department of Radiology, University of Illinois at Chicago, Chicago, Illinois, USA Department of Neurosurgery, University of Illinois at Chicago, Chicago, Illinois, USA Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USASearch for more papers by this author First published: 17 July 2023 https://doi.org/10.1002/jmri.28897 Evidence Level: 3 Technical Efficacy: Stage 2 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; 71: 209-249. 2Gridelli C, Rossi A, Carbone DP, et al. Non-small-cell lung cancer. Nat Rev Dis Primers 2015; 1:15009. 3Wu SG, Liu YN, Tsai MF, et al. The mechanism of acquired resistance to irreversible EGFR tyrosine kinase inhibitor-afatinib in lung adenocarcinoma patients. Oncotarget 2016; 7(11): 12404-12413. 4Ahn MJ, Sun JM, Lee SH, Ahn JS, Park K. EGFR TKI combination with immunotherapy in non-small cell lung cancer. Expert Opin Drug Saf 2017; 16(4): 465-469. 5Li S, Zhou B. A review of radiomics and genomics applications in cancers: The way towards precision medicine. Radiat Oncol 2022; 17: 217. 6Wang G, Wang B, Wang Z, et al. Radiomics signature of brain metastasis: Prediction of EGFR mutation status. Eur Radiol 2021; 31(7): 4538-4547. 7Chen BT, Jin T, Ye N, et al. Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases. Magn Reson Imaging 2020; 69: 49-56. 8Fan Y, He L, Yang H, et al. Preoperative MRI-based radiomics of brain metastasis to assess T790M resistance mutation after EGFR-TKI treatment in NSCLC. J Magn Reson Imaging 2023; 57: 1778-1787. 9Fan Y, Wang X, Yang C, et al. Brain-tumor interface-based radiomics enable prediction of response to EGFR-TKI and T790M resistance mutation in NSCLC with brain metastasis. J Magn Reson Imaging 2023; https://doi.org/10.1002/jmri.28751. Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation