Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sci Data. 2022 Jul 29;9(1):453. doi: 10.1038/s41597-022-01560-7.
Glioblastoma is the most common aggressive adult brain tumor. Numerous studies have reported results from either private institutional data or publicly available datasets. However, current public datasets are limited in terms of: a) number of subjects, b) lack of consistent acquisition protocol, c) data quality, or d) accompanying clinical, demographic, and molecular information. Toward alleviating these limitations, we contribute the "University of Pennsylvania Glioblastoma Imaging, Genomics, and Radiomics" (UPenn-GBM) dataset, which describes the currently largest publicly available comprehensive collection of 630 patients diagnosed with de novo glioblastoma. The UPenn-GBM dataset includes (a) advanced multi-parametric magnetic resonance imaging scans acquired during routine clinical practice, at the University of Pennsylvania Health System, (b) accompanying clinical, demographic, and molecular information, (d) perfusion and diffusion derivative volumes, (e) computationally-derived and manually-revised expert annotations of tumor sub-regions, as well as (f) quantitative imaging (also known as radiomic) features corresponding to each of these regions. This collection describes our contribution towards repeatable, reproducible, and comparative quantitative studies leading to new predictive, prognostic, and diagnostic assessments.
胶质母细胞瘤是最常见的侵袭性成人脑肿瘤。许多研究报告了来自私人机构数据或公开可用数据集的结果。然而，目前的公共数据集在以下方面存在局限性：a）受试者数量，b）缺乏一致的获取协议，c）数据质量，或 d）伴随的临床、人口统计学和分子信息。为了缓解这些限制，我们提供了“宾夕法尼亚大学胶质母细胞瘤成像、基因组学和放射组学”（UPenn-GBM）数据集，该数据集描述了目前最大的公开可用的 630 例新诊断为胶质母细胞瘤患者的综合数据集。UPenn-GBM 数据集包括：（a）在宾夕法尼亚大学卫生系统常规临床实践中获得的先进的多参数磁共振成像扫描，（b）伴随的临床、人口统计学和分子信息，（d）灌注和扩散衍生体积，（e）肿瘤亚区域的计算和手动修订的专家注释，以及（f）与这些区域对应的定量成像（也称为放射组学）特征。该数据集描述了我们在可重复、可重现和可比的定量研究方面的贡献，这些研究有助于进行新的预测、预后和诊断评估。
