biostudies-literatureUnknown9(4)Ning Z<h4>Background</h4>To investigate the feasibility of integrating global radiomics and local deep features based on multi-modal magnetic resonance imaging (MRI) for developing a noninvasive glioma grading model.<h4>Methods</h4>In this study, 567 patients [211 patients with glioblastomas (GBMs) and 356 patients with low-grade gliomas (LGGs)] between May 2006 and September 2018, were enrolled and divided into training (n=186), validation (n=47), and testing cohorts (n=334), respectively. All patients underwent postcontrast enhanced T1-weighted and T2 fluid-attenuated inversion recovery MRI scanning. Radiomics and deep features (trained by 8,510 3D patches) were extracted to quantify the global and local information of gliomas, respectively. A kernel fusion-based support vector machine (SVM) cAnnals of translational medicine298https://www.ebi.ac.uk/biostudies/studies/S-EPMC7944310biostudies-literatureMulti-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features.PMC7944310Luo JZhang YCai LChen YNing ZWang JYu XXiao QfalseMulti-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features.<h4>Background</h4>To investigate the feasibility of integrating global radiomics and local deep features based on multi-modal magnetic resonance imaging (MRI) for developing a noninvasive glioma grading model.<h4>Methods</h4>In this study, 567 patients [211 patients with glioblastomas (GBMs) and 356 patients with low-grade gliomas (LGGs)] between May 2006 and September 2018, were enrolled and divided into training (n=186), validation (n=47), and testing cohorts (n=334), respectively. All patients underwent postcontrast enhanced T1-weighted and T2 fluid-attenuated inversion recovery MRI scanning. Radiomics and deep features (trained by 8,510 3D patches) were extracted to quantify the global and local information of gliomas, respectively. A kernel fusion-based support vector machine (SVM) c2021-01-01T00:00:00Z2021 Feb2025-04-04T10:13:02.415Z2025-02-19T01:40:08.702ZS-EPMC79443103370892510.21037/atm-20-4076