Design and evaluation of an imaging informatics system for analytics-based decision support in radiation therapy

Ruchi Deshpande; John DeMarco; Brent J. Liu

doi:10.1117/12.2082862

17 March 2015 Design and evaluation of an imaging informatics system for analytics-based decision support in radiation therapy

Ruchi Deshpande, John DeMarco, Brent J. Liu

Author Affiliations +

Proceedings Volume 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations; 94180Y (2015) https://doi.org/10.1117/12.2082862
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

We have developed a comprehensive DICOM RT specific database of retrospective treatment planning data for radiation therapy of head and neck cancer. Further, we have designed and built an imaging informatics module that utilizes this database to perform data mining. The end-goal of this data mining system is to provide radiation therapy decision support for incoming head and neck cancer patients, by identifying best practices from previous patients who had the most similar tumor geometries. Since the performance of such systems often depends on the size and quality of the retrospective database, we have also placed an emphasis on developing infrastructure and strategies to encourage data sharing and participation from multiple institutions. The infrastructure and decision support algorithm have both been tested and evaluated with 51 sets of retrospective treatment planning data of head and neck cancer patients. We will present the overall design and architecture of our system, an overview of our decision support mechanism as well as the results of our evaluation.

Citation Download Citation

Ruchi Deshpande, John DeMarco, and Brent J. Liu "Design and evaluation of an imaging informatics system for analytics-based decision support in radiation therapy", Proc. SPIE 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Y (17 March 2015); https://doi.org/10.1117/12.2082862

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