RadGLO- Radiology of Glioma

Welcome to RadGLO, a dedicated platform for the study of glioma through advanced radiological and radiomic analyses. This database is a comprehensive resource that integrates imaging data, radiomics features, and survival correlations for both low-grade glioma (LGG) and high-grade glioma (HGG).


Key Features of the RadGLO:

MRI Imaging Data

High-quality MRI scans across multiple modalities, including T1w, T2w, T1ce, Flair, and respective tumor segments for LGG and HGG cases.

Radiomic Features

Quantitative imaging biomarkers including texture, shape, and intensity-based features, providing insights into tumor heterogeneity and the microenvironment.

Correlations and Survival

Explore the relationships between radiomic features and patient survival to identify predictive biomarkers associated with prognosis and treatment response.

LGG vs. HGG Comparisons

Datasets structured for comparative analysis of low-grade and high-grade gliomas, allowing users to investigate differences in radiological profiles


Purpose and Vision:

RadGLO aims to bridge the gap between radiological imaging and clinical outcomes, empowering researchers, data scientists, and clinicians to:

  • Develop non-invasive biomarkers for glioma diagnosis, prognosis, and treatment stratification.
  • Advance radiogenomic research by integrating imaging features with genomic data.

This database is continuously updated with curated datasets to ensure quality and relevance. RadGLO serves as a one-stop resource for radiology and radiogenomics researchers, promoting collaboration and innovation in glioma research.