This data collection consists of MRI/CT scan data for brain tumor patients that form the cohort for the resource Ivy Glioblastoma Atlast Project (Ivy GAP) as summarized below. There are 399 scans 390 studies for 41 39 patients that include pre-surgery, post-surgery and follow up scans. The Ivy
is a collaborative partnership between the Ben and Catherine Ivy Foundation, which generously provided the financial support, the Allen Institute for Brain Science, and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment. The goal of the project is to provide online resources to scientists and physicians dedicated to the development of innovative treatments and diagnostics that will enhance the quality of life and survival of patients with brain cancer.
These resources represent an unprecedented platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels. They include In addition to the DICOM images in TCIA there are two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities:• The open public image database on www.brain-map.org
- Ivy Glioblastoma Atlas Project - An open/public database providing in situ hybridization (ISH) and RNA sequencing (RNA-Seq) data, which map gene expression across the anatomic structures and putative cancer stem cell clusters in glioblastoma. The associated histological dataset is annotated and is suitable for neuropathological examination.
- - A database offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access.
The hope is that researchers will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes.
For questions and information regarding this dataset, please contact
Ivy GAP is described in the resource paper: Puchalski RB, Shah N, …Foltz GD. An anatomic transcriptional atlas of human glioblastoma. Science360, 660-663 (2018). doi:10.1126/science.aaf2666.
For scientific or other inquiries about this dataset, please contact the TCIA Helpdesk.
Other Publications Using This Data
TCIA maintains a list of publications which that leverage our data. At this time, we are not aware of any publications based on this data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.