ArticleNPJ precision oncology2025
RadGLO: an interactive platform for radiomic feature analysis and prognostic modeling in glioma.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Radiomic features, quantitative descriptors of tumor shape, texture, and intensity derived from MRI serve as powerful non-invasive biomarkers for glioma characterization and prognosis. We present Radiology of Glioma (RadGLO), an interactive platform that leverages these features across multi-institutional datasets (TCGA, UCSF, UPENN) to support grade-wise analysis, gene correlation, and survival prediction. RadGLO integrates two in-house developed modules, RaSPr for risk stratification and TumorVQ for region-specific tumor volume quantification, which also supports user-uploaded MRI data. By enabling personalized prognosis and aiding treatment planning, RadGLO offers a valuable resource that is openly accessible at https://project.iith.ac.in/cgntlab/radglo/ .
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Registered trials
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