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

被引:6
作者
Cepeda, Santiago [1 ]
Garcia-Garcia, Sergio [1 ]
Arrese, Ignacio [1 ]
Herrero, Francisco [2 ]
Escudero, Trinidad [2 ]
Zamora, Tomas [3 ]
Sarabia, Rosario [1 ]
机构
[1] Rio Hortega Univ Hosp, Dept Neurosurg, Dulzaina 2, Valladolid 47012, Spain
[2] Rio Hortega Univ Hosp, Dept Radiol, Dulzaina 2, Valladolid 47012, Spain
[3] Rio Hortega Univ Hosp, Dept Pathol, Dulzaina 2, Valladolid 47012, Spain
来源
DATA IN BRIEF | 2023年 / 50卷
关键词
MR imaging; Neuro-oncology; Radiology; Brain tumor; BRAIN; OPTIMIZATION; REGISTRATION; ROBUST;
D O I
10.1016/j.dib.2023.109617
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 "Rio 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.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
引用
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页数:9
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