A data grid for imaging-based clinical trials

Zheng Zhou; Sander S.D. Chao; Jasper Lee; Brent Liu; Jorge Documet; H. K. Huang

doi:10.1117/12.710636

21 March 2007 A data grid for imaging-based clinical trials

Zheng Zhou, Sander S.D. Chao, Jasper Lee, Brent Liu, Jorge Documet, H. K. Huang

Proceedings Volume 6516, Medical Imaging 2007: PACS and Imaging Informatics; 65160U (2007) https://doi.org/10.1117/12.710636
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Clinical trials play a crucial role in testing new drugs or devices in modern medicine. Medical imaging has also become an important tool in clinical trials because images provide a unique and fast diagnosis with visual observation and quantitative assessment. A typical imaging-based clinical trial consists of: 1) A well-defined rigorous clinical trial protocol, 2) a radiology core that has a quality control mechanism, a biostatistics component, and a server for storing and distributing data and analysis results; and 3) many field sites that generate and send image studies to the radiology core. As the number of clinical trials increases, it becomes a challenge for a radiology core servicing multiple trials to have a server robust enough to administrate and quickly distribute information to participating radiologists/clinicians worldwide. The Data Grid can satisfy the aforementioned requirements of imaging based clinical trials. In this paper, we present a Data Grid architecture for imaging-based clinical trials. A Data Grid prototype has been implemented in the Image Processing and Informatics (IPI) Laboratory at the University of Southern California to test and evaluate performance in storing trial images and analysis results for a clinical trial. The implementation methodology and evaluation protocol of the Data Grid are presented.

Citation Download Citation

Zheng Zhou, Sander S.D. Chao, Jasper Lee, Brent Liu, Jorge Documet, and H. K. Huang "A data grid for imaging-based clinical trials", Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 65160U (21 March 2007); https://doi.org/10.1117/12.710636

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