Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma

التفاصيل البيبلوغرافية
العنوان: Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma
المؤلفون: Yi-Bin, Xi, Fan, Guo, Zi-Liang, Xu, Chen, Li, Wei, Wei, Ping, Tian, Ting-Ting, Liu, Lin, Liu, Gang, Chen, Jing, Ye, Guang, Cheng, Long-Biao, Cui, Hong-Juan, Zhang, Wei, Qin, Hong, Yin
المصدر: Journal of magnetic resonance imaging : JMRI. 47(5)
سنة النشر: 2017
مصطلحات موضوعية: Adult, Male, Support Vector Machine, Adolescent, Brain Neoplasms, Tumor Suppressor Proteins, Infant, Newborn, Infant, Reproducibility of Results, Antineoplastic Agents, DNA Methylation, Middle Aged, Magnetic Resonance Imaging, Young Adult, DNA Repair Enzymes, Child, Preschool, Biomarkers, Tumor, Humans, Female, Child, Glioblastoma, Promoter Regions, Genetic, DNA Modification Methylases, Retrospective Studies
الوصف: In glioblastoma (GBM), promoter methylation of the DNA repair gene O-methylguanine-DNA methyltransferase (MGMT) is associated with beneficial chemotherapy.To analyze radiomics features for utilizing the full potential of medical imaging as biomarkers of MGMT promoter methylation.Retrospective.In all, 98 GBM patients with known MGMT (48 methylated and 50 unmethylated tumors).3.0T magnetic resonance (MR) images, containing TA region of interest (ROI) of the tumor was delineated. A total of 1665 radiomics features were extracted and quantized, and were reduced using least absolute shrinkage and selection operator (LASSO) regularization.After the support vector machine construction, accuracy, sensitivity, and specificity were computed for different sequences. An independent validation cohort containing 20 GBM patients was utilized to further evaluate the radiomics model performance.Radiomics features of TOur results provide further evidence that radiomics MR features could predict MGMT methylation status in preoperative GBM. Multiple imaging modalities together can yield putative noninvasive biomarkers for the identification of MGMT.4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1380-1387.
تدمد: 1522-2586
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::0b99f7b09894e070ec48a8c16bd5881f
https://pubmed.ncbi.nlm.nih.gov/28926163
رقم الأكسشن: edsair.pmid..........0b99f7b09894e070ec48a8c16bd5881f
قاعدة البيانات: OpenAIRE