This page contains all things related to the Cancer Imaging Program's Informatics Team efforts to integrate radiology into the wider TCGA activities.
A pilot project was performed in 2010 centered around the development of informatics tools to analyze the radiological data in combination with the the existing clinical, genetic, and pathological data in the TCGA Data Portal. CIP worked with both Henry Ford and UCSF to collect and de-identify the DICOM data for a subset of the GBM patients and load this data into the NCI Center for Bioinformatics and Information Technology (CBIIT) instance of the National Biomedical Imaging Archive. In parallel NCI's caBIG program funded the extension of 3 existing DICOM workstations to support standardized markup and characterization of these images utilizing the Annotated Imaging and Markup (AIM) XML standard. This effort has since led to a number of projects attempting to analyze this data.
Expanding the scope of TCGA Radiology
Continuing these efforts CIP is working to accrue images from additional sites for both GBM and the other tissue types being collected as part of the original TCGA project. Please see the child pages below to view ongoing projects and data availability for each cancer type. Efforts have already begun in the following TCGA tissue types:
- TCGA Brain Research - Currently analyzing Glioblastoma multiforme (GBM), and potentially Low grade gliomas (LGG) upon submission of TCGA-LGG collection to TCIA.
- TCGA Breast Research - Beginning work analyzing Breast invasive carcinoma (BRCA) using pilot data. Analysis to begin upon submission of TCGA-BRCA collection to TCIA.
- TCGA Lung Research - Anticipated analysis will include Lung adenocarcinoma (LUAD) and Lung squamous cell carcinoma (LUSC) but no research group has been formalized as of yet.