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The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations.

Scientific data - 22 Apr 2026

Reddy Divya D, Saadat Niloufar, Holcomb James M, Wagner Benjamin C, Truong Nghi C, Bowerman Jason, Hatanpaa Kimmo J, Patel Toral R, Pinho Marco C, Yu Fang, Zhang Kuan, Lodhi Sadeem, Madhuranthakam Ananth J, Bangalore Yogananda Chandan Ganesh, Maldjian Joseph A

Abstract excerpt

Gliomas are the most common type of primary brain tumors. Their management options and outcomes depend significantly on the underlying molecular-marker profile. Traditionally, molecular markers are determined through pathological testing on a tissue specimen acquired through biopsy. Several Magnetic Resonance Imaging (MRI) based Deep Learning (DL) methods offer a promising, non-invasive approach to predict these...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42020453
DOI: 10.1038/s41597-026-07274-4
PMCID: PMC13287574

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MGMT

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