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The National Cancer Institute Clinical and Translational Imaging Informatics Project (NCI CTIIP) unites sub-projects from three imaging research domains--digital pathology, co-clinical/small animal models, and molecular biology—with the goal of creating an informatics platform and open source software tools to better diagnose and treat patients with cancer. The specific goal of CTIIP is to generate a computer interface that applies the concept of data mashups to join The Cancer Genome Atlas (TCGA) clinical and molecular data, The Cancer Imaging Archive (TCIA) in-vivo imaging data, caMicroscope pathology data, a pilot set of animal model data, and relevant imaging annotation and markup data. Currently, these data repositories and types are burdened by a lack of interoperability due to the inconsistent use of or the lack of data standards. The resulting software tools and data standards resulting from the component sub-projects At the conclusion of this project, the resulting informatics infrastructure that each domain can share will provide researchers with analysis tools to directly mine data from multiple high-volume information repositories, acting as creating a foundation for a broader set of novel community research projectsresearch and decision support systems to better diagnose and treat patients with cancer.

The three sub-projects, along with the solutions they provide, are discussed in this guide and listed below.

• Digital Pathology Data Integration and Integrated Query System
• Small Animal/Co-clinical Improved DICOM Compliance and Data Integration
• Pilot Challenges

Project 1: Digital Pathology Data Integration and Integrated Query System

Digital pathology, unlike its more mature radiographic counterpart, has yet to standardize on a single storage and transport media. While DICOM has published a digital pathology standard, none of the major vendors in this space have adopted the standard.

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