The Río Hortega University Hospital Glioblastoma dataset: A comprehensive collection of preoperative, early postoperative and recurrence MRI scans (RHUH-GBM)

Santiago Cepeda; Sergio García-García; Ignacio Arrese; Francisco Herrero; Trinidad Escudero; Tomás Zamora; Rosario Sarabia

doi:10.1016/j.dib.2023.109617

The Río Hortega University Hospital Glioblastoma dataset: A comprehensive collection of preoperative, early postoperative and recurrence MRI scans (RHUH-GBM)

Data Brief. 2023 Sep 23:50:109617. doi: 10.1016/j.dib.2023.109617. eCollection 2023 Oct.

Authors

Santiago Cepeda¹, Sergio García-García¹, Ignacio Arrese¹, Francisco Herrero², Trinidad Escudero², Tomás Zamora³, Rosario Sarabia¹

Affiliations

¹ Department of Neurosurgery, Río Hortega University Hospital, Dulzaina 2, 47012 Valladolid, Spain.
² Department of Radiology, Río Hortega University Hospital, Dulzaina 2, 47012 Valladolid, Spain.
³ Department of Pathology, Río Hortega University Hospital, Dulzaina 2, 47012 Valladolid, Spain.

Abstract

Glioblastoma, a highly aggressive primary brain tumor, is associated with poor patient outcomes. Although magnetic resonance imaging (MRI) plays a critical role in diagnosing, characterizing, and forecasting glioblastoma progression, public MRI repositories present significant drawbacks, including insufficient postoperative and follow-up studies as well as expert tumor segmentations. To address these issues, we present the "Río Hortega University Hospital Glioblastoma Dataset (RHUH-GBM)," a collection of multiparametric MRI images, volumetric assessments, molecular data, and survival details for glioblastoma patients who underwent total or near-total enhancing tumor resection. The dataset features expert-corrected segmentations of tumor subregions, offering valuable ground truth data for developing algorithms for postoperative and follow-up MRI scans.

Keywords: Brain tumor; MR imaging; Neuro-oncology; Radiology.